Startseite Pain management in patients undergoing radiation therapy for head and neck cancer – a descriptive study
Artikel Open Access

Pain management in patients undergoing radiation therapy for head and neck cancer – a descriptive study

  • Anne K. C. Söderlund Schaller EMAIL logo , Anna Peterson und Emmanuel Bäckryd
Veröffentlicht/Copyright: 10. Dezember 2020
Veröffentlichen auch Sie bei De Gruyter Brill

Abstract

Objectives

Patients with head and neck cancer (HNC) experience serious pain related to tumour, surgery, chemotherapy, and radiotherapy treatment (RT). Oral mucositis, a painful complication of RT, may require opioid analgesics to control pain.This longitudinal study, during RT but also four weeks post-RT, examines the relationships between oral mucositis, pain, and opioid doses in in HNC patients. The aim was to evaluate the clinical effectiveness of an opioid treatment strategy.

Methods

Sixty-three patients with HNC undergoing radiotherapy answered self-reported questionnaires on pain intensity on a 0–10 numerical rating scale (NRS) three times a week. Oral mucositis signs were evaluated using the WHO mucositis index score, ranging from 0 (normal) to 4 (severe), and pharmacological treatment with opioids was registered prospectively once a week. All data were related to given radiation dose, and all outcome measures at each time point therefore relate to the same radiation dose (i.e., not to when the patient was included in the study).

Results

Opioids were used by 78% of the patients. Most of the patients experienced only mild pain (NRS 0–4), although the majority developed mucositis grade 2–4 according to WHO mucositis index. Function-related pain intensity and opioid doses were highest during the sixth week of RT, with 3.67 (0–9) in NRS and 84 (0–430) mg oral morphine equivalents per day (median, range). At that same time point, significant positive correlations were found between the grade of mucositis and pain intensities. Patients with mucositis grade 2–4 were investigated further; in this subgroup, we found that opioid doses did not differ between patients with mild pain and patients with moderate to severe pain. Our multivariate data analysis defined a cluster of patients characterized by the presence of mucositis, cancer site in pharynx, concomitant chemotherapy, and the absence of surgery.

Conclusions

In HNC patients who were followed closely by pain care personnel during and after RT, pain was often satisfactorily alleviated with a structured use of opioids, including stepwise increases of fentanyl patches and oral morphine as needed. However, some patients with oral mucositis grade 2–4 experienced severe pain. Strong opioids, i.e. the third step of the WHO pain ladder, remain the mainstay of analgesic therapy in treating moderate to severe cancer-related pain, including patients with HNC. This real-life study indicates that RT-related pain is not a fatality. A proactive stance, monitoring these patients closely and regularly, is probably crucial in order to achieve good treatment results. Further studies are needed to develop better pain treatment strategies for those patients who develop severe oral mucositis-related pain despite intensive opioid treatment.

Introduction

Worldwide, head and neck cancer (HNC) affects more than 500,000 people, representing about 6% of all cancer diagnoses, and causes 350,000 deaths yearly [1], [, 2]. Head and neck cancer is a heterogenous group of diseases concerning incidence, treatment, and prognosis [3]. Treatment of HNC may include surgery, chemotherapy, and radiotherapy (RT) in various combinations [1], [, 4]. A common RT regimen is two gray (Gy) per day five days per week for a total cumulative dose of 50–70 Gy [4].

Patients treated for HNC suffer from several psychological and physical symptoms that negatively impact daily life, including depression and a sense of lack of meaning, pain, xerostomia and swallowing disorders [5]. According to the National Comprehensive Cancer Network Task Force, nausea, vomiting and mucositis are the most physical common adverse events in connection with cancer treatment [6]. Oral mucositis is an inflammation of the oral and oropharyngeal mucous membrane resulting from the toxic effects of RT and chemotherapy [7].

The onset of RT-induced mucositis is usually 10–14 days after start of treatment, and concomitant chemotherapy increases the frequency, duration, and severity of mucositis [4], [, 8]. The grade of mucositis is commonly assessed according to the World Health Organization (WHO) mucositis index scale (0=normal and 4=severe). Initial symptoms are usually mild pain with erythema of the mucous membrane (grade 1), followed by areas of mucosal ulceration (grade 2) that continue to spread and penetrate deeper with gradually increasing pain and an inability to swallow (grades 3 and 4) [8].

Prevalence of pain among patients with HNC is high, with up to 80% of patients reporting pain during their RT treatment [4], [7], [9], [10]. It has been reported that patients with HNC, in early treatment of RT (within 0–20 Gy), mainly describes low pain intensity and in this context the pain is in the first place considered as nociceptive [11]. However, neuropathic pain mechanisms are also thought to be involved [12]. Hence, oral mucositis RT-related pain probably includes both nociceptive and neuropathic pain components [13].

In accordance with the WHO pain ladder, strong opioids are the mainstay of analgesic therapy in treating moderate to severe cancer-related pain, including HNC pain [14], [15], [16]. Previous studies have described that adequate pain relief for patients with HNC who suffer from RT-related oral mucositis is difficult to achieve [13], [17], [18], [19], [20], [21]. For this group of patients, local guidelines at Pain and Rehabilitation Centre (PRC), University Hospital, Linköping, Sweden, are based on the WHO ladder, i.e., acetaminophen, non-steroid anti-inflammatory drugs (NSAID), and opioid analgesics [15]. As a complement all patients with HNC undergo weekly oral care checks by the hospital dentist and use daily mouthwash with lidocaine hydrochloride and mycostatin. When the pain mechanism is considered to be neuropathic, adjuvant analgesia can be provided with gabapentinoids such as pregabalin [21]. Attention is given to side effects of opioid therapy such as dry mouth, constipation, nausea, and decreased alertness [19], [, 22]. Fentanyl patches are usually prescribed when swallowing difficulties are present and/or to minimize side effects such as constipation and nausea [22] and, at PRC, the primary choice of opioid for this group of patients is fentanyl patches.

This longitudinal study evaluated the effects of the above-mentioned local guidelines in clinical practice in a cohort of patients with HNC undergoing RT, examining the relationships between opioid doses, oral mucositis, and pain.

Methods

Participants

This descriptive study was part of a larger longitudinal project about patient education and self-care in order to reduce pain, improve quality of life (QoL), and evaluate psychological aspects during and after RT in patients with HNC. The results showed no statistical difference between the control and intervention group regarding pain, QoL, and psychological aspects. Likewise, no significant difference was seen regarding gender and age between the groups [23]. Thus, in this paper, we could consider these two groups as a unified group to study and analyse the issue of the current study.

During 2016–2017, patients with HNC undergoing RT were recruited by the PRC. Recruitment of patients for the study was based on referred patients from the oncology clinic to the PRC prior to RT. Registration of received referrals to the PRC varied from two weeks before RT and two weeks into the start of RT treatment. The intention was to recruit the patient for the study before pain arose related to RT and mucositis.

Regarding the patients who underwent surgery before RT, all had recovered from wound and postoperative pain at inclusion in the study. That is, according to the local guidelines at the local oncology clinic, 6–8 weeks would pass before the start of radiation therapy. Patients became eligible for PRC after referral from the oncologist as expected pain in connection with RT often requires structured pain treatment.

In connection with the first appointment with the responsible research nurses (RN) at PRC, which took place within 1–2 weeks after start of RT, all eligible patients received written and oral information as well as offer to participate in the study. Eligible patients were 18 years old or older, able to read, write, and understand Swedish, and scheduled to receive curative RT for HNC. Informed consent was obtained from all participants included in the study.

Measurement points

In this longitudinal study, we report data week-by-week. Importantly, all weekly measurement points were defined according to given radiation dose and not according to when patients were included in the study. Hence, all outcome measures at each time point relate to the same radiation dose, a strategy that enables a better assessment of the effects of RT over time: e.g., the measurement 0–10 Gy (abbreviated MP 0–10) is the first week of cumulative dose of RT, MP 11–20 is the second week of cumulative dose of RT, etc.

Outcome measures for the present study

Assessment of oral mucositis

Oral mucositis was diagnosed according to WHO mucositis index score, as evaluated weekly by a specialist dentist at the University Hospital. The WHO mucositis index measures the severity of mucositis on a five-point scale ranging from 0 (normal) to 4 (severe) [8]. The result was documented in the medical record. Once a week, two RN reviewed the degree of mucositis in the medical record.

Pain intensity ratings by short message services

Every Monday, Wednesday, and Friday of the ten-week data collection period, all participants answered a Short Message Services (SMS) questionnaire with seven items on pain intensity and interference with oral activity.

This study focuses on two of the items from the validated Oral Cancer Pain Questionnaire included in the SMS: (1) pain in connection with (function-related pain) and (2) not with (spontaneous pain) speaking, talking, and drinking [24]. The items were scored on a numeric rating scale (NRS) from 0 (no pain) to 10 (the most intense pain sensation imaginable) the previous 24 h. For each subscale and item, the average score of the three weekly scores was calculated, generating a weekly NRS value. Mild pain was defined as NRS 0–4, moderate pain as NRS 5–6, and severe pain as NRS 7–10 [25], [26], [27]. In this paper the patients were divided into two groups concerning pain; mild pain group (NRS 0–4), vs. pain group (NRS 5–10).

At baseline, at four weeks, and at 10 weeks, the patients also completed a survey questionnaire about pain, QoL, psychological aspects, and barriers to pain management. These findings have been reported elsewhere [11], [, 23].

Pharmacological treatment with opioids during radiotherapy

If the patients reported pain (NRS >3) via the SMS survey, the RN phoned the patient the same day (if a weekend no later than three days) and pharmacological treatment was initiated or adjusted.

The pharmacological treatment prescribed by PRC physicians followed the local guidelines; patients with NRS >3 were prescribed acetaminophen in combination with nonsteroidal anti-inflammatory drug treatment with the intention to inhibit the production of substances resulting damage and inflammation. If the pain intensity was NRS >6 and assessed as nociceptive and derived from the oral cavity or pharynx, for example wounds and/or blisters, a strong long-acting opioid was prescribed. For opioid-naive patients (in this paper all patients) the lowest dose of fentanyl patch was prescribed. If breakthrough pain occurred, short-acting morphine was prescribed. In case of poor response after optimization with opioids and if the pain was evaluated as neuropathic, pregabalin was prescribed.

If the patient continued to report unchanged pain the following day, the pharmacological treatment was evaluated again for possible further adjustments. Opioid doses were registered in a study form for each individual patient, in connection with weekly contact between RN and the patient during RT and as long as the patient was medicated with opioids. However, the study includes 10 weeks of patient reporting.

For each patient, daily doses of short- and long-acting opioids were converted into daily oral morphine equivalents (OME), which were calculated according to standard equianalgesic tables [28], [29], [30].

According to the specialist dentist’s prescription, during the first week of RT, local anesthetics such as oral lidocaine solution was also prescribed against pain in the oral mucosa.

Statistical methods

Data were analyzed using SPSS 23.0 for Windows (IBM Corp., Armonk, NY, USA). Descriptive data are presented as median (minimum-maximum). For inferential statistics, non-parametric tests were used: (1) for comparisons between two independent groups, the Mann Whitney U test or, for categorical data, the Chi-square test; (2) for correlations between two variables, the Spearman’s correlation coefficient (r); (3) for changes in pain intensity, grade of mucositis and opioid dose over time, the Friedman test. In order to be able to use the Friedman test, occasional missing values were imputed by calculating the mean of existing nearby variables (i.e., before and after) [31], [, 32]. For all statistical analyses, a p-value of <0.05 was accepted as significant.

Multivariate data analysis (MVDA) was used to enable an explorative analysis of the whole data material at once at MP 51–60, taking the whole correlation structure of the material into account (i.e. akin to a kind of multivariate correlation analysis instead of multiple tests). Details of this have been published elsewhere [33], [34], [35], [36], but in short, we started with principal component analysis (PCA) to identify potential multivariate outliers. The following variables were used in the PCA analysis: age; sex; pain intensities; opioid dose; oral mucositis grade; smoking habits (non-smoker, smoker, ex-smoker); cancer site (oral cavity, pharynx, larynx, other location); cancer treatment (RT with or without chemotherapy, RT with or without surgery (surgery before or after RT)). The PCA analysis was followed by hierarchical cluster analysis (HCA) on the same variables, enabling us to define two groups of patients based on the aforementioned variables. Then, orthogonal partial least square – discriminant analysis (OPLS-DA) enabled us to find the variables most distinctive for discrimination between the two groups. Variables with p(corr) values >0.5 were considered “significant”.

Results

Description of the patients

The analysis included 63 consecutive cases of patients with various HNC (Table 1, see “Total” column). The mean age of the participants was 65 years. Most patients were men (62%) and a majority were smokers or former smokers (60%). The most common cancer site was the pharynx (41%) and the most commonly occurring cancer treatment was a combination of surgery and RT (43%). All participants were scheduled to receive RT for their cancer, with a minimum prescribed radiation dose of 50 Gy and a maximum dose of 68 Gy (10 Gy per week).

Table 1:

Socio-demographic, clinical, and treatment data of 63 patients with HNC and comparison between pain- and mucositis groups.

Variables Total In-depth analysis at the cumulative dose of RT 51–60 Gray
Mild pain groupa Moderate-to-severe pain groupb Grade of mucositisc Grade of mucositisc
0–1 2–4
Participants, n 63 42 21 24 39
Age in years
Median (min–max) 67 (36–86) 67 (42–86) 66 (57–79) 64 (48–78) 67 (36–86)
Sex, n (%)
Female 24 (38) 17 (71) 7 (29) 9 (38) 15 (62)
Male 39 (62) 25 (64) 14 (36) 15 (38) 24 (62)
Smoking habits, n (%)
Non-smokers 25 (40) 19 (76) 6 (24) 8 (32) 17 (68)
Smokers 10 (16) 6 (60) 4 (40) 2 (20) 8 (80)
Ex-smokers 28 (44) 17 (61) 11 (39) 14 (50) 14 (50)
Cancer site, n (%)
Oral cavity 14 (22) 8 (57) 6 (43) 5 (36) 9 (64)
Pharynx 26 (41) 16 (62) 10 (38) 4 (15) 22 (85)
Larynx 6 (10) 5 (83) 1 (17) 4 (67) 2 (33)
Others 17 (27) 13 (76) 4 (24) 11 (65) 6 (35)
Cancer treatment, n (%)
RT only 11 (18) 9 (82) 2 (18) 5 (45) 6 (55)
RT with chemotherapy 16 (25) 10 (62) 6 (38) 3 (19) 13 (81)
RT and surgery 27 (43) 17 (63) 10 (37) 14 (52) 13 (48)
RT with chemotherapy and surgery 9 (14) 6 (67) 3 (33) 2 (22) 7 (78)
Cumulative dose of radiotherapy, gray, median, (min–max) 68 (50–68) 68 (50–68) 68 (50–68) 60 (50–68) 68 (50–68)
Opioid use yes/no (%)
Yes (%) 49 (78) 30 (61) 19 (39) 15 (31) 34 (69)
No (%) 14 (22) 12 (86) 2 (14) 9 (64) 5 (36)
Opioid use (mg/day) d , median (min–max) 84 (0–430) 60 (0–430), 120 (0–400) 22 (0–149) 120 (0–430)
Concomitant of opioid- and NSAID use
Yes (%) 26 (41) 16 (62) 10 (38) 8 (31) 18 (69)
No (%) 37 (59) 26 (70) 11 (30) 16 (43) 21 (57)
Acetaminophen use
Yes (%) 53 (84) 35 (83) 18 (86) 18 (5) 35 (90)
No (%) 10 (16) 7 (17) 3 (14) 6 (25) 4 (10)
  1. n, total number of participants; RT, radiotherapy; Ex-smokers, former smokers; OM, oral mucositis; NSAID, non-steroidal anti-inflammatory drugs. aMild pain group=function-related pain (Oral Cancer Pain Questionnaire), numerical rating scale (NRS) ≤4 at measurement point (MP) 51–60. bModerate-to-severe pain group=function-related pain, NRS ≥5 at MP 51–60. cGrade of mucositis at MP 51–60. dOpioid use at MP 51–60.

Oral mucositis, pain intensity, and opioid doses

The WHO mucositis index score in this study cohort changed over time (p<0.001) and were highest at MP 51–60 and thereafter decreased over time (Figure 1 and Table 2).

Figure 1: 
            Oral mucositis in relation to cumulative dose of Gy0–70 and post RT1–4=weeks after completed radiation therapy. Median values are represented by horizontal lines and the interquartile ranges by boxes. The ends of the whiskers represent minimum and maximum values. Points represent outliers.
Figure 1:

Oral mucositis in relation to cumulative dose of Gy0–70 and post RT1–4=weeks after completed radiation therapy. Median values are represented by horizontal lines and the interquartile ranges by boxes. The ends of the whiskers represent minimum and maximum values. Points represent outliers.

Table 2:

Data of 63 patients with HNC. Distribution of cumulative dose of RT and changes within the groups: differences in pain intensity (NRS=numeric rating scale), grade of mucositis and weekly dose of morphine. Descriptive data are presented with median values (range) and statistical analysis is performed with the Friedman test (imputed data).

Cumulative dose of radiotherapy
0–10 Gy median (min–max) 11–20 Gy median (min–max) 21–30 Gy 31–40 Gy median (min–max) 41–50 Gy median (min–max) 51–60 Gy median (min–max) 61–70 Gy median (min–max) Post RT1 median (min–max) Post RT2 median (min–max) Post RT3 median (min–max) Post RT4 median (min–max) p-Value (effect over time)
Median (min–max)
Pain intensity a 0.67 (0–7) 2.00 (0–8) 2.67 (0–9) 3.00 (0–8) 3.33 (0–9) 3.67 (0–9) 2.33 (0–10) 3.00 (0–7) 2.00 (0–7) 1.33 (0–7) 2.00 (0–9) 0.000
Pain intensity b 0.67 (0–4) 1.33 (0–7) 2.00 (0–9) 2.33 (0–8) 2.33 (0–9) 2.33 (0–9) 2.00 (0–10) 2.00 (0–7) 1.17 (0–7) 1.00 (0–6) 2.00 (0–9) 0.000
Mucositis 0 (0–2) 1.00 (0–3) 2.00 (0–3) 2.00 (0–4) 2.00 (0–4) 2.00 (0–4) 2.00 (0–4) 1.00 (0–4) 1.00 (0–4) 1.00 (0–4) 0 (0–3) 0.000
Morphine mg/day 0 (0–120) 0 (0–180) 29 (0–340) 58 (0–420) 60 (0–605) 84 (0–430) 80 (0–430) 60 (0–300) 60 (0–420) 60 (0–440) 59 (0–240) 0.000
  1. Gy, gray; post RT, post radiotherapyweek 1–4. a,b Pain intensity=The items on pain intensity included pain in connection witha and withoutb speaking, talking, and drinking (0–10); Morphine=mg/day; Mucositis=0 (normal) to 4 (severe).

Both function-related pain and spontaneous pain changed over time (p<0.001 and p<0.001) and were highest at MP 51–60, i.e., associated with cumulative dose of Gy and thereafter decreased over time (Figure 2 and Table 2).

Figure 2: 
            Pain intensity (NRS 0–10) in connection with (function-related pain) and not with (spontaneous pain) speaking, talking, and drinking, development of pain in relation to cumulative dose of Gy0–70, post RT1–4=weeks after completed radiation therapy. Median values are represented by horizontal lines and the interquartile ranges by boxes. The ends of the whiskers represent minimum and maximum values. Points represent outliers and asterisks represent extremes.
Figure 2:

Pain intensity (NRS 0–10) in connection with (function-related pain) and not with (spontaneous pain) speaking, talking, and drinking, development of pain in relation to cumulative dose of Gy0–70, post RT1–4=weeks after completed radiation therapy. Median values are represented by horizontal lines and the interquartile ranges by boxes. The ends of the whiskers represent minimum and maximum values. Points represent outliers and asterisks represent extremes.

Opioids were used by 78% of patients (Table 1; Total column). In most cases, treatment with opioids included a fentanyl patch in combination with oral short-acting morphine as needed. The opioid doses changed over time (p<0.001) and were highest at MP 51–60 with a median of 84 (min-max 0–430) mg OME per day (Figure 3 and Table 2).

Figure 3: 
            Opioid dose in oral morphine equivalents (mg/d) in relation to cumulative dose of Gy0–70 and post RT1–4=weeks after completed radiation therapy. Median values are represented by horizontal lines and the interquartile ranges by boxes. The ends of the whiskers represent minimum and maximum values. Points represent outliers and asterisks represent extremes.
Figure 3:

Opioid dose in oral morphine equivalents (mg/d) in relation to cumulative dose of Gy0–70 and post RT1–4=weeks after completed radiation therapy. Median values are represented by horizontal lines and the interquartile ranges by boxes. The ends of the whiskers represent minimum and maximum values. Points represent outliers and asterisks represent extremes.

Other analgesic treatment

Majority of the participants used acetaminophen (84%) and nearly half also used NSAID (48%). Opioids in combination with NSAID were used by 41% of patients (Table 1), and 16% (n=8) of the patients undergoing opioid therapy had a supplement of pregabalin with a median of 75 (min-max 50–300) mg/day.

Treatment with NSAIDs and or pregabalin was not found to have a reducing effect on OME. Patients treated with pregabalin had a significantly (p=0.003) higher dose of OME than those who did not have pregabalin.

In-depth analysis at MP 51–60

Pain intensities and opioid doses were highest at MP 51–60 (Table 2). At that time point, significant and substantial positive correlations were found between the grade of mucositis and (1) pain intensity in connection with speaking, talking, and drinking (function-related pain) (r=0.48, p<0.001) and (2) resting pain (r=0.42, p=0.002), respectively. Patients with mucositis grade 0–1 (n=20) had significantly lower pain intensity than patients with mucositis grade 2–4 (n=31) at function-related pain (p=0.004) and at spontaneous pain (p=0.001) (Figure 4).

Figure 4: 
            Pain intensity (NRS 0–10) in connection with (function-related pain) and not with (spontaneous pain) speaking, talking, and drinking at MP 51–60 in relation to mucositis 0–1 and 2–4. Median values are represented by horizontal lines and the interquartile ranges by boxes. The ends of the whiskers represent minimum and maximum values.
Figure 4:

Pain intensity (NRS 0–10) in connection with (function-related pain) and not with (spontaneous pain) speaking, talking, and drinking at MP 51–60 in relation to mucositis 0–1 and 2–4. Median values are represented by horizontal lines and the interquartile ranges by boxes. The ends of the whiskers represent minimum and maximum values.

Patients with mucositis grade 0–1 had significantly lower opioid doses than patients with mucositis grade 2–4 (p<0.001, Figure 5). For further comparisons between mucositis 0–1 and mucositis 2–4 groups, see Table 1.

Figure 5: 
            Opioid dose in oral morphine equivalents (mg/d) at MP 51–60 in relation to mucositis groups 0–1 and 2–4. Median values are represented by horizontal lines and the interquartile ranges by boxes. The ends of the whiskers represent minimum and maximum values. Points represent outliers.
Figure 5:

Opioid dose in oral morphine equivalents (mg/d) at MP 51–60 in relation to mucositis groups 0–1 and 2–4. Median values are represented by horizontal lines and the interquartile ranges by boxes. The ends of the whiskers represent minimum and maximum values. Points represent outliers.

Patients with mucositis grade 2–4 (n=39) were investigated further. Importantly, in patients with mucositis grade 2–4, there were no statistically significant differences in opioid doses between the mild pain group and the moderate to severe pain group (this concerns function-related pain, p=0.385; Figure 6). In addition, there was no correlation between opioid dose and function-related pain (r=0.21, p=0.26). Results were similar for spontaneous pain (data not shown).

Figure 6: 
            Opioid dose in oral morphine equivalents (mg/d) at MP 51–60 in patients with mucositis grade 2–4. Patients are divided according to pain intensity (function-related pain): mild pain (NRS 0–4) and moderate to severe pain (NRS 5–10) in function-related pain. The ends of the whiskers represent minimum and maximum values. Points represent outliers.
Figure 6:

Opioid dose in oral morphine equivalents (mg/d) at MP 51–60 in patients with mucositis grade 2–4. Patients are divided according to pain intensity (function-related pain): mild pain (NRS 0–4) and moderate to severe pain (NRS 5–10) in function-related pain. The ends of the whiskers represent minimum and maximum values. Points represent outliers.

Multivariate association at MP 51–60

No patient was an outlier according to the PCA model (n=63, two principal components, R2=0.23 and Q2=0.07). The OPLS-DA model (one latent variable, R2=0.76 and Q2=0.71, p<0.001 by CV-ANOVA) showed that one of the two groups of patients (called Group 2, n=34, in Figure 7) identified by HCA was characterized by its association with chemotherapy, cancer site in pharynx, no surgery, and the presence of mucositis (see Figure 7). The corresponding p(corr) values for chemotherapy, cancer site in pharynx, no surgery, and the presence of mucositis were 0.87, 0.82, 0.58, and 0.54, respectively (i.e., all these were “significant”). The other group (Group 1, n=29) was the opposite. Hence, our MVDA analysis showed that, taking the whole correlation structure of the material into consideration, there was a group of patients characterized by cancer site in pharynx and being treated (in addition to RT) with chemotherapy and not with surgery, and that this group tended to have a higher degree of mucositis. This was confirmed by additional inferential statistics – i.e., the proportion of patients with mucositis grade 2–4 was significantly higher for patients with cancer site in pharynx compared to other sites (22/26 vs. 17/35, p=0.004). This was also true for patients receiving chemotherapy compared to not receiving chemotherapy (20/25 vs. 19/36, p=0.029). Descriptive data in Table 1 are consistent with this conclusion, as patients with pharynx cancer and patients undergoing chemotherapy had a high frequency of mucositis grade 2–4 (85 and 81%, respectively). As mentioned above, the MVDA analysis also showed that not undergoing surgery was associated with higher degree of mucositis, but this was only apparent in the MVDA model and not by additional inferential statistics (19/26 vs. 20/35, p=0.2).

Figure 7: 
              Predictive loadings column plot for clustering-based OPLS-DA model. See Methods. Briefly, variable columns near Group 1 are positively associated with Group 1 (and not with Group 2) and vice versa.
              With_chemo, radiotherapy (RT) in combination with chemotherapy; Pharynx, cancer site in pharynx; RT_no_Surg, RT without surgery; Mucositis_Gy6, grade of mucositis at the cumulative dose of RT 51–60 gray=measurement point (MP) 51–60; Q1_Gy6, function-related pain at MP 51–60; Morfin_Gy6, morphine use at MP 51–60; Q2_Gy6, spontaneous pain at MP 51–60; ExSmokers, former smokers; Larynx, cancer site in larynx; RT_Surgery_before, surgery before RT; Other_loc, other types of tumours; nasopharynx, salivary glands, thyroid, lip and cancer of unknown primary location; Oralcav, cancer site in the oral cavity; RT_Surgery_after, surgery after RT; No_chemo, RT without chemotherapy.
Figure 7:

Predictive loadings column plot for clustering-based OPLS-DA model. See Methods. Briefly, variable columns near Group 1 are positively associated with Group 1 (and not with Group 2) and vice versa.

With_chemo, radiotherapy (RT) in combination with chemotherapy; Pharynx, cancer site in pharynx; RT_no_Surg, RT without surgery; Mucositis_Gy6, grade of mucositis at the cumulative dose of RT 51–60 gray=measurement point (MP) 51–60; Q1_Gy6, function-related pain at MP 51–60; Morfin_Gy6, morphine use at MP 51–60; Q2_Gy6, spontaneous pain at MP 51–60; ExSmokers, former smokers; Larynx, cancer site in larynx; RT_Surgery_before, surgery before RT; Other_loc, other types of tumours; nasopharynx, salivary glands, thyroid, lip and cancer of unknown primary location; Oralcav, cancer site in the oral cavity; RT_Surgery_after, surgery after RT; No_chemo, RT without chemotherapy.

Discussion

This real-life study evaluated the effectiveness of our local guidelines in clinical practice, investigating the relationships between opioid doses, oral mucositis and pain during HNC-related RT. We studied the temporal dynamics involved (longitudinal aspects), but we also focused on MP 51–60, which was the time point of highest opioid doses, highest grade of mucositis and highest pain intensities.

From a pathophysiological point of view, one of the strengths of the present study is that we structured the material from the point of view of accumulated radiation dose (Gy) and not according to the time (weeks) when patients were included. This strategy allowed us to relate the development of mucositis to actual radiation dose. As expected, this study found that patients diagnosed with HNC developed mucositis and pain during RT and that this was related to the dose of radiation.

Pain treatment according to local guidelines at PRC led to most of the patients (67% at MP51-60) experiencing only mild pain (NRS 0–4). This finding is consistent with one earlier study where mild pain intensities among patients with HNC undergoing RT were also reported [37]; however, that study did not report what pain treatment strategies were used and therefore its findings cannot be used to inform clinical practice from a pharmacological point of view. Thus, it is possible to achieve adequate pain control in a majority of HNC-patients receiving RT. This is not a self-evident finding as many studies have shown that pain in this group of patients is difficult to treat [13], [18], [38], [39].

All patients were referred to the PRC within two weeks before, and up to two weeks into, RT. This early surveillance strategy probably affected outcomes as it made early intervention possible. It has been reported that early pain management, i.e. pre-emptive medications during postoperative period for cancer patients, was associated with increased pain control [40]. In addition, early analgesic treatment might diminish the occurrence of chronic pain as well as reduce the physiological and psychological consequences of severe pain [22], [41], [42].

Based on early and continuous follow-up contacts, opioid doses should be adjusted according to the patient’s reported symptoms [22]. On the other hand, side effects can sometimes limit the dose of opioids, leading to unrelieved pain [43]. The interval between dose escalations should be long enough to allow for a steady state; concerning transdermal patches the interval should be between 3 and 6 days [22].

However, even in the present study, there is still a subgroup of patients who had moderate to severe pain despite pain treatment according to local guidelines (PRC). In our material, it seems clear that these treatment-refractive patients are to be found among patients with clinically significant oral mucositis; at MP51–60, only two patients with mucositis grade 0–1 had moderate pain and none had severe pain (Figure 4). Hence, in the absence of significant mucositis, good pain relief can be expected with comparatively low levels of opioids (Figures 4 and 5). These findings are consistent with two previous studies where pain in the oral cavity was found to increase with increased ulceration surface area and more extensive mucositis [44], [, 45].

We chose to specifically analyse patients with oral mucositis grade 2–4. We found that patients with mild pain did not receive more opioids than the moderate-to-severe pain group; if that had been the case, higher doses of opioids in the moderate-to-severe pain group would have been the obvious answer to the problem. Of course, it could be argued that the moderate-to-severe pain group should unequivocally have received much higher doses than was actually the case, and that one should therefore not be content with ensuring that they, on average, at least did not get less than those whose pain turned out to be well-controlled. However, in our opinion, this simple line of reasoning disregards some important facts. First, it is important not to automatically conflate the categories of “more” and “better”. Second, as can be seen in Figure 6, there is a wide range of dosages (0–400 mg OME/day); while indeed some patients might have been undertreated, it seems too simplistic to argue for higher doses in general and for all patients. Third, doses must be related to the speed of escalation. At MP51–60, the median dose in the moderate-to-severe pain group was 120 mg OME/day, a rather substantial dose for patients who have rather recently started their opioid treatment. Our clinical impression is that we have generally increased opioids in a rather proactive fashion, and that substantially increasing the “inclination” of the opioid escalation curve does not seem warranted. Treatment aggressiveness should be counterbalanced by thoughtful consideration of the risk of the troublesome and potentially dangerous side-effects of opioids. In this study, treatment was careful with standardized titration, i.e. at least three days between increases in opioids to avoid opioid related side effects.

So far, there is insufficient evidence from the literature to advise on a specific pharmacological management for pain in HNC patients. The current recommendation for these patients is simply to follow the WHO pain ladder, with some add-ons recommendations to use local drugs (e.g., lidocaine mouthwash) [14], [15], [16]. Local guidelines at the PRC are in line with this, and a strength of the present study is that it describes the outcome of such a strategy in clinical practice. Gender, age and smoking habits were generally representative of patients with HNC (which in itself suggests good validity).

There are, however, obvious limitations. The sample size of this uncontrolled study was relatively small (n=63) and therefore might be insufficiently representative for populations of patients with HNC, conditions that limit the generalisability of these findings. Detailed subgroup analysis in such a small sample is also fraught with difficulties. In addition, it is possible that the patients who agreed to participate were those who were least ill (i.e., risk of selection bias), which also might affect the external validity. Notably, the patients are also affected by other stressors that the study did not measure, for example nausea and vomiting, conditions which can affect how the patients report pain [5], [6], [46]. Furthermore only 16% of the patients were treated with pregabalin. Randomized controlled studies of adjuvant pregabalin for this group of patients would be of value.

In conclusion, this real-life study indicates that severe RT-related pain in HNC patients is not a fatality. However, further studies are needed to develop better pain treatment strategies for those patients who do develop severe oral mucositis-related pain despite adequate opioid treatment.


Corresponding author: Anne K. C. Söderlund Schaller, Department of Health, Medicine and Caring Sciences, Pain and Rehabilitation Center, Linköping University, Linköping, Sweden, E-mail:

Acknowledgments

We thank Marie Berggarden for including patients in the study.

  1. Research funding: Grant from Lions postdoc research fund, Linköping (EB). The other authors state no funding involved.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflicts of interest.

  4. Informed consent: Informed consent has been obtained from all individuals included in this study.

  5. Ethical approval: All procedures performed in the study including participants agreed with the ethical standards of the institutional and/or national research committee (Medical Ethical Board of Linköping University diary number 2014/356–31). The research related to human use complies with all the relevant national regulations and institutional policies and was performed in accordance with the tenets of the Declaration of Helsinki.

References

1. Argiris, A, Karamouzis, MV, Raben, D, Ferris, RL. Head and neck cancer. Lancet 2008;371:1695–709. https://doi.org/10.1016/s0140-6736(08)60728-x.Suche in Google Scholar

2. Torre, LA, Bray, F, Siegel, RL, Ferlay, J, Lortet-Tieulent, J, Jemal, A. Global cancer statistics, 2012. CA A Cancer J Clin 2015;65:87–108. https://doi.org/10.3322/caac.21262.Suche in Google Scholar PubMed

3. Swedish Head and Neck Cancer Register S, Regionalt Cancercentrum. Swedish head and neck cancer register, SweHNCR; 2016. Available from: http://www.cancercentrum.se/globalassets/cancerdiagnoser/huvud-och-hals/kvalitetsregister/arsrapport-swehncr-2015_161020_slutversion.pdf [Accessed 4 Sep 2017].Suche in Google Scholar

4. Epstein, JB, Thariat, J, Bensadoun, RJ, Barasch, A, Murphy, BA, Kolnick, L, et al.. Oral complications of cancer and cancer therapy: from cancer treatment to survivorship. CA A Cancer J Clin 2012;62:400–22. https://doi.org/10.3322/caac.21157.Suche in Google Scholar PubMed

5. Babin, E, Sigston, E, Hitier, M, Dehesdin, D, Marie, JP, Choussy, O. Quality of life in head and neck cancers patients: predictive factors, functional and psychosocial outcome. Eur Arch Oto-Rhino-Laryngol 2008;265:265–70. https://doi.org/10.1007/s00405-007-0561-0.Suche in Google Scholar PubMed

6. Bensinger, W, Schubert, M, Ang, KK, Brizel, D, Brown, E, Eilers, JG, et al.. NCCN Task Force Report. Prevention and management of mucositis in cancer care. J Natl Compr Canc Netw 2008;6(1 Suppl):S1–21; quiz S2–4. https://doi.org/10.6004/jnccn.2008.2001.Suche in Google Scholar

7. Sonis, ST. Oral mucositis. Anti Canc Drugs 2011;22:607–12. https://doi.org/10.1097/cad.0b013e3283462086.Suche in Google Scholar

8. Worthington, HV, Clarkson, JE, Bryan, G, Furness, S, Glenny, AM, Littlewood, A, et al.. Interventions for preventing oral mucositis for patients with cancer receiving treatment. Cochrane Database Syst Rev 2011;Cd000978. https://doi.org/10.1002/14651858.CD000978.pub5.Suche in Google Scholar PubMed PubMed Central

9. Epstein, JB, Hong, C, Logan, RM, Barasch, A, Gordon, SM, Oberle-Edwards, L, et al.. A systematic review of orofacial pain in patients receiving cancer therapy. Support Care Canc 2010;18:1023–31. https://doi.org/10.1007/s00520-010-0897-7.Suche in Google Scholar PubMed

10. Trotti, A, Bellm, LA, Epstein, JB, Frame, D, Fuchs, HJ, Gwede, CK, et al.. Mucositis incidence, severity and associated outcomes in patients with head and neck cancer receiving radiotherapy with or without chemotherapy: a systematic literature review. Radiother Oncol 2003;66:253–62. https://doi.org/10.1016/s0167-8140(02)00404-8.Suche in Google Scholar PubMed

11. Schaller, A, Dragioti, E, Liedberg, GM, Larsson, B. Quality of life during early radiotherapy in patients with head and neck cancer and pain. J Pain Res 2017;10:1697–704. https://doi.org/10.2147/jpr.s138113.Suche in Google Scholar PubMed PubMed Central

12. Milazzo-Kiedaisch, CA, Itano, J, Dutta, PR. Role of gabapentin in managing mucositis pain in patients undergoing radiation therapy to the head and neck. Clin J Oncol Nurs 2016;20:623–8. https://doi.org/10.1188/16.cjon.623-628.Suche in Google Scholar PubMed PubMed Central

13. Epstein, JB, Wilkie, DJ, Fischer, DJ, Kim, YO, Villines, D. Neuropathic and nociceptive pain in head and neck cancer patients receiving radiation therapy. Head Neck Oncol 2009;1:26. https://doi.org/10.1186/1758-3284-1-26.Suche in Google Scholar PubMed PubMed Central

14. Mirabile, A, Airoldi, M, Ripamonti, C, Bolner, A, Murphy, B, Russi, E, et al.. Pain management in head and neck cancer patients undergoing chemo-radiotherapy: clinical practical recommendations. Crit Rev Oncol Hematol 2016;99:100–6. https://doi.org/10.1016/j.critrevonc.2015.11.010.Suche in Google Scholar PubMed

15. World Health Organization. WHO guidelines for the pharmacological and radiotherapeutic management of cancer pain in adults and adolescents. World Health Organization; 2018.Suche in Google Scholar

16. Fallon, M, Giusti, R, Aielli, F, Hoskin, P, Rolke, R, Sharma, M, et al.. Management of cancer pain in adult patients: ESMO Clinical Practice Guidelines. Ann Oncol 2018;29(4 Suppl):iv166–91. https://doi.org/10.1093/annonc/mdy152.Suche in Google Scholar PubMed

17. Elting, LS, Keefe, DM, Sonis, ST, Garden, AS, Spijkervet, FK, Barasch, A, et al.. Patient-reported measurements of oral mucositis in head and neck cancer patients treated with radiotherapy with or without chemotherapy: demonstration of increased frequency, severity, resistance to palliation, and impact on quality of life. Cancer 2008;113:2704–13. https://doi.org/10.1002/cncr.23898.Suche in Google Scholar PubMed

18. Ling, IS, Larsson, B. Individualized pharmacological treatment of oral mucositis pain in patients with head and neck cancer receiving radiotherapy. Support Care Canc 2011;19:1343–50. https://doi.org/10.1007/s00520-010-0955-1.Suche in Google Scholar PubMed

19. Raber-Durlacher, JE, Elad, S, Barasch, A. Oral mucositis. Oral Oncol 2010;46:452–6. https://doi.org/10.1016/j.oraloncology.2010.03.012.Suche in Google Scholar PubMed

20. Lalla, RV, Sonis, ST, Peterson, DE. Management of oral mucositis in patients who have cancer. Dent Clin 2008;52:61. https://doi.org/10.1016/j.cden.2007.10.002.Suche in Google Scholar PubMed PubMed Central

21. Jiang, J, Li, Y, Shen, Q, Rong, X, Huang, X, Li, H, et al.. Effect of pregabalin on radiotherapy-related neuropathic pain in patients with head and neck cancer: a randomized controlled trial. J Clin Oncol 2019;37:135–43. https://doi.org/10.1200/jco.18.00896.Suche in Google Scholar

22. Portenoy, RK. Treatment of cancer pain. Lancet 2011;377:2236–47. https://doi.org/10.1016/s0140-6736(11)60236-5.Suche in Google Scholar PubMed

23. Schaller, AS, Dragioti, E, Liedberg, GM, Larsson, B. Are patient education and self‐care advantageous for patients with head and neck cancer? A feasibility study. Nurs Open 2019;6:1528–41. https://doi.org/10.1002/nop2.361.Suche in Google Scholar PubMed PubMed Central

24. Connelly, ST, Schmidt, BL. Evaluation of pain in patients with oral squamous cell carcinoma. J Pain 2004;5:505–10. https://doi.org/10.1016/j.jpain.2004.09.002.Suche in Google Scholar PubMed

25. Serlin, RC, Mendoza, TR, Nakamura, Y, Edwards, KR, Cleeland, CS. When is cancer pain mild, moderate or severe? Grading pain severity by its interference with function. Pain 1995;61:277–84. https://doi.org/10.1016/0304-3959(94)00178-h.Suche in Google Scholar PubMed

26. Li, KK, Harris, K, Hadi, S, Chow, E. What should be the optimal cut points for mild, moderate, and severe pain? J Palliat Med 2007;10:1338–46. https://doi.org/10.1089/jpm.2007.0087.Suche in Google Scholar PubMed

27. Fainsinger, R, Nekolaichuk, C, Fainsinger, L, Muller, V, Fainsinger, L, Amigo, P, et al.. What is stable pain control? A prospective longitudinal study to assess the clinical value of a personalized pain goal. Palliat Med 2017;31:913–20. https://doi.org/10.1177/0269216317701891.Suche in Google Scholar PubMed

28. Ripamonti, CI, Bareggi, C. Pharmacology of opioid analgesia: clinical principles. Milan, Italy: IRCCS Foundation, Supportive Care in Cancer Unit, National Cancer Institute; 2009:195 p.10.1017/CBO9780511642357.012Suche in Google Scholar

29. Shaheen, PE, Walsh, D, Lasheen, W, Davis, MP, Lagman, RL. Opioid equianalgesic tables: are they all equally dangerous? J Pain Symptom Manag 2009;38:409–17. https://doi.org/10.1016/j.jpainsymman.2009.06.004.Suche in Google Scholar PubMed

30. O’Brien, T, Christrup, LL, Drewes, AM, Fallon, MT, Kress, HG, McQuay, HJ, et al.. European Pain Federation position paper on appropriate opioid use in chronic pain management. Eur J Pain 2017;21:3–19. https://doi.org/10.1002/ejp.970.Suche in Google Scholar PubMed PubMed Central

31. Engels, JM, Diehr, P. Imputation of missing longitudinal data: a comparison of methods. J Clin Epidemiol 2003;56:968–76. https://doi.org/10.1016/s0895-4356(03)00170-7.Suche in Google Scholar PubMed

32. Kang, H. The prevention and handling of the missing data. Korean J Anesthesiol 2013;64:402–6. https://doi.org/10.4097/kjae.2013.64.5.402.Suche in Google Scholar PubMed PubMed Central

33. Backryd, E, Lind, AL, Thulin, M, Larsson, A, Gerdle, B, Gordh, T. High levels of cerebrospinal fluid chemokines point to the presence of neuroinflammation in peripheral neuropathic pain: a cross-sectional study of 2 cohorts of patients compared with healthy controls. Pain 2017;158:2487–95. https://doi.org/10.1097/j.pain.0000000000001061.Suche in Google Scholar PubMed PubMed Central

34. Backryd, E, Persson, EB, Larsson, AI, Fischer, MR, Gerdle, B. Chronic pain patients can be classified into four groups: clustering-based discriminant analysis of psychometric data from 4,665 patients referred to a multidisciplinary pain centre (a SQRP study). PloS One 2018;13:e0192623. https://doi.org/10.1371/journal.pone.0192623.Suche in Google Scholar PubMed PubMed Central

35. Backryd, E, Tanum, L, Lind, AL, Larsson, A, Gordh, T. Evidence of both systemic inflammation and neuroinflammation in fibromyalgia patients, as assessed by a multiplex protein panel applied to the cerebrospinal fluid and to plasma. J Pain Res 2017;10:515–25. https://doi.org/10.2147/jpr.s128508.Suche in Google Scholar PubMed PubMed Central

36. Wheelock, AM, Wheelock, CE. Trials and tribulations of ’omics data analysis: assessing quality of SIMCA-based multivariate models using examples from pulmonary medicine. Mol Biosyst 2013;9:2589–96. https://doi.org/10.1039/c3mb70194h.Suche in Google Scholar PubMed

37. Astrup, GL, Rustøen, T, Miaskowski, C, Paul, SM, Bjordal, K. Changes in and predictors of pain characteristics in patients with head and neck cancer undergoing radiotherapy. Pain 2015;156:967–79. https://doi.org/10.1097/j.pain.0000000000000142.Suche in Google Scholar PubMed

38. Lewis, S, Salins, N, Kadam, A, Rao, R. Distress screening using distress thermometer in head and neck cancer patients undergoing radiotherapy and evaluation of causal factors predicting occurrence of distress. Indian J Palliat Care 2013;19:88–92. https://doi.org/10.4103/0973-1075.116703.Suche in Google Scholar PubMed PubMed Central

39. Wong, PC, Dodd, MJ, Miaskowski, C, Paul, SM, Bank, KA, Shiba, GH, et al.. Mucositis pain induced by radiation therapy: prevalence, severity, and use of self-care behaviors. J Pain Symptom Manag 2006;32:27–37. https://doi.org/10.1016/j.jpainsymman.2005.12.020.Suche in Google Scholar PubMed

40. El-Aqoul, A, Obaid, A, Yacoub, E, Al-Najar, M, Ramadan, M, Darawad, M. Factors associated with inadequate pain control among postoperative patients with cancer. Pain Manag Nurs 2018;19:130–8. https://doi.org/10.1016/j.pmn.2017.10.004.Suche in Google Scholar PubMed

41. Dunwoody, CJ, Krenzischek, DA, Pasero, C, Rathmell, JP, Polomano, RC. Assessment, physiological monitoring, and consequences of inadequately treated acute pain. J PeriAnesthesia Nurs 2008;23(1 Suppl):S15–27. https://doi.org/10.1016/j.jopan.2007.11.007.Suche in Google Scholar PubMed

42. Gan, TJ. Poorly controlled postoperative pain: prevalence, consequences, and prevention. J Pain Res 2017;10:2287–98. https://doi.org/10.2147/jpr.s144066.Suche in Google Scholar PubMed PubMed Central

43. Scarborough, BM, Smith, CB. Optimal pain management for patients with cancer in the modern era. CA A Cancer J Clin 2018;68:182–96. https://doi.org/10.3322/caac.21453.Suche in Google Scholar PubMed PubMed Central

44. Gussgard, AM, Jokstad, A, Hope, AJ, Wood, R, Tenenbaum, H. Radiation-induced mucositis in patients with head and neck cancer: should the signs or the symptoms be measured? J Can Dent Assoc 2015;81:f11.Suche in Google Scholar

45. Gussgard, AM, Jokstad, A, Wood, R, Hope, AJ, Tenenbaum, H. Symptoms reported by head and neck cancer patients during radiotherapy and association with mucosal ulceration site and size: an observational study. PloS One 2015;10:e0129001. https://doi.org/10.1371/journal.pone.0129001.Suche in Google Scholar PubMed PubMed Central

46. Klein, J, Livergant, J, Ringash, J. Health related quality of life in head and neck cancer treated with radiation therapy with or without chemotherapy: a systematic review. Oral Oncol 2014;50:254–62. https://doi.org/10.1016/j.oraloncology.2014.01.015.Suche in Google Scholar PubMed

Received: 2020-05-08
Accepted: 2020-10-16
Published Online: 2020-12-10
Published in Print: 2021-04-27

© 2020 Anne K. C. Söderlund Schaller et al., published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

Artikel in diesem Heft

  1. Frontmatter
  2. Editorial
  3. Salami-slicing and duplicate publication: gatekeepers challenges
  4. Editorial Comment
  5. Risk for persistent post-delivery pain – increased by pre-pregnancy pain and depression. Similar to persistent post-surgical pain in general?
  6. Systematic Review
  7. Acute experimentally-induced pain replicates the distribution but not the quality or behaviour of clinical appendicular musculoskeletal pain. A systematic review
  8. Topical Review
  9. Unwillingly traumatizing: is there a psycho-traumatologic pathway from general surgery to postoperative maladaptation?
  10. Clinical Pain Research
  11. Translation, cross-cultural adaptation and psychometric evaluation of the Thai version of the fear-avoidance beliefs questionnaire in patients with non-specific neck pain
  12. Pain management in patients undergoing radiation therapy for head and neck cancer – a descriptive study
  13. Do intensity of pain alone or combined with pain duration best reflect clinical signs in the neck, shoulder and upper limb?
  14. Different pain variables could independently predict anxiety and depression in subjects with chronic musculoskeletal pain
  15. Symptoms of central sensitization in patients with inflammatory bowel diseases: a case-control study examining the role of musculoskeletal pain and psychological factors
  16. Acceptability of psychologically-based pain management and online delivery for people living with HIV and chronic neuropathic pain: a qualitative study
  17. Determinants of pain occurrence in dance teachers
  18. Observational Studies
  19. A retrospective observational study comparing somatosensory amplification in fibromyalgia, chronic pain, psychiatric disorders and healthy subjects
  20. Utilisation of pain counselling in osteopathic practice: secondary analysis of a nationally representative sample of Australian osteopaths
  21. Effectiveness of ESPITO analgesia in enhancing recovery in patients undergoing open radical cystectomy when compared to a contemporaneous cohort receiving standard analgesia: an observational study
  22. Shoulder patients in primary and specialist health care. A cross-sectional study
  23. The tolerance to stretch is linked with endogenous modulation of pain
  24. Pain sensitivity increases more in younger runners during an ultra-marathon
  25. Original Experimental
  26. DNA methylation changes in genes involved in inflammation and depression in fibromyalgia: a pilot study
  27. Participants with mild, moderate, or severe pain following total hip arthroplasty. A sub-study of the PANSAID trial on paracetamol and ibuprofen for postoperative pain treatment
  28. Exploring peoples’ lived experience of complex regional pain syndrome in Australia: a qualitative study
  29. Although tapentadol and oxycodone both increase colonic volume, tapentadol treatment resulted in softer stools and less constipation: a mechanistic study in healthy volunteers
  30. Educational Case Report
  31. Updated management of occipital nerve stimulator lead migration: case report of a technical challenge
Heruntergeladen am 13.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/sjpain-2020-0067/html?licenseType=open-access
Button zum nach oben scrollen