Home Value of monocyte distribution width for predicting severe cholecystitis: a retrospective cohort study
Article
Licensed
Unlicensed Requires Authentication

Value of monocyte distribution width for predicting severe cholecystitis: a retrospective cohort study

  • Chih-Hao Kao , Yen-Hung Liu , Wei-Kung Chen , Fen-Wei Huang , Tai-Yi Hsu , Han-Tsung Cheng , Po-Ren Hsueh , Chiung-Tzu Hsiao , Shih-Yun Wu and Hong-Mo Shih ORCID logo EMAIL logo
Published/Copyright: April 21, 2023

Abstract

Objectives

Acute cholecystitis is a gallbladder inflammation, and the Tokyo Guidelines 2018 (TG18) can be used to predict its presence and severity with high sensitivity and specificity. However, TG18 grading require the collection of excessive parameters. Monocyte distribution width (MDW) is a parameter used to detect sepsis early. Therefore, we investigated the correlation between MDW and cholecystitis severity.

Methods

We conducted a retrospective study of patients with cholecystitis admitted to our hospital from November 1, 2020, to August 31, 2021. The primary outcome was severe cholecystitis analyzed as a composite of intensive care unit (ICU) admission and mortality. The secondary outcomes were length of hospital stay, ICU stay, and TG18 grade.

Results

A total of 331 patients with cholecystitis were enrolled in this study. The average MDWs for TG18 grades 1, 2, and 3 were 20.21 ± 3.99, 20.34 ± 3.68, and 25.77 ± 6.61, respectively. For patients with severe cholecystitis, the average MDW was 25.42 ± 6.83. Using the Youden J statistic, we set a cutoff MDW of 21.6. Multivariate logistic regression revealed that patients with an MDW≥21.6 had a higher risk of severe cholecystitis (odds ratio=4.94; 95 % CI, 1.71–14.21; p=0.003). The Cox model revealed that patients with an MDW≥21.6 were more likely to have a prolonged hospital stay.

Conclusions

MDW is a reliable indicator of severe cholecystitis and prolonged length of stay. Additional MDW testing and a complete blood count may provide simple information for predicting severe cholecystitis early.


Corresponding author: Hong-Mo Shih, MD, Department of Emergency Medicine, China Medical University Hospital, Taichung, Taiwan; School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan; and Department of Public Health, China Medical University, No. 91, Xueshi Road, North District, Taichung, Taiwan, E-mail:
Chih-Hao Kao and Yen-Hung Liu contributed equally to this work.

Award Identifier / Grant number: DMR-112-165

Acknowledgments

This manuscript was edited by Wallace Academic Editing. We thank their efforts in revising and improving the manuscript.

  1. Research funding: This work was supported, in part, by China Medical University Hospital under grant (DMR-112-165). The funding agencies had no role in the design and conduct of the study; collection, management, analysis, and interpretation of data; preparation, review, approval of manuscript; or decision to submit manuscript for publication.

  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 conflict of interest.

  4. Informed consent: Not applicable.

  5. Ethical approval: This study was approved by the research Ethics Committee of China Medical University and Hospital (referencing number: CMUH110-REC3-106).

  6. Data availability: The datasets generated and analyzed in this study are not publicly available due to the nondisclosure agreement of the Institutional Review Board. The datasets are available from the corresponding author upon reasonable request.

References

1. Cox, GR, Browne, BJ. Acute cholecystitis in the emergency department. J Emerg Med 1989;7:501–11. https://doi.org/10.1016/0736-4679(89)90154-6.Search in Google Scholar PubMed

2. Yokoe, M, Takada, T, Hwang, TL, Endo, I, Akazawa, K, Miura, F, et al.. Descriptive review of acute cholecystitis: Japan-Taiwan collaborative epidemiological study. J Hepatobiliary Pancreat Sci 2017;24:319–28. https://doi.org/10.1002/jhbp.450.Search in Google Scholar PubMed

3. Wadhwa, V, Jobanputra, Y, Garg, SK, Patwardhan, S, Mehta, D, Sanaka, MR. Nationwide trends of hospital admissions for acute cholecystitis in the United States. Gastroenterol Rep 2017;5:36–42. https://doi.org/10.1093/gastro/gow015.Search in Google Scholar PubMed PubMed Central

4. Okamoto, K, Suzuki, K, Takada, T, Strasberg, SM, Asbun, HJ, Endo, I, et al.. Tokyo Guidelines 2018: flowchart for the management of acute cholecystitis. J Hepatobiliary Pancreat Sci 2018;25:55–72. https://doi.org/10.1002/jhbp.516.Search in Google Scholar PubMed

5. Yokoe, M, Hata, J, Takada, T, Strasberg, SM, Asbun, HJ, Wakabayashi, G, et al.. Tokyo Guidelines 2018: diagnostic criteria and severity grading of acute cholecystitis (with videos). J Hepatobiliary Pancreat Sci 2018;25:41–54. https://doi.org/10.1002/jhbp.515.Search in Google Scholar PubMed

6. Agnello, L, Bivona, G, Vidali, M, Scazzone, C, Giglio, RV, Iacolino, G, et al.. Monocyte distribution width (MDW) as a screening tool for sepsis in the Emergency Department. Clin Chem Lab Med 2020;58:1951–7. https://doi.org/10.1515/cclm-2020-0417.Search in Google Scholar PubMed

7. Hausfater, P, Robert Boter, N, Morales Indiano, C, Cancella de Abreu, M, Marin, AM, Pernet, J, et al.. Monocyte distribution width (MDW) performance as an early sepsis indicator in the emergency department: comparison with CRP and procalcitonin in a multicenter international European prospective study. Crit Care 2021;25:227. https://doi.org/10.1186/s13054-021-03622-5.Search in Google Scholar PubMed PubMed Central

8. Crouser, ED, Parrillo, JE, Seymour, C, Angus, DC, Bicking, K, Tejidor, L, et al.. Improved early detection of sepsis in the ED with a novel monocyte distribution width biomarker. Chest 2017;152:518–26. https://doi.org/10.1016/j.chest.2017.05.039.Search in Google Scholar PubMed PubMed Central

9. Polilli, E, Sozio, F, Frattari, A, Persichitti, L, Sensi, M, Posata, R, et al.. Comparison of monocyte distribution width (MDW) and procalcitonin for early recognition of sepsis. PLoS One 2020;15:e0227300. https://doi.org/10.1371/journal.pone.0227300.Search in Google Scholar PubMed PubMed Central

10. Laínez Martínez, S, González Del Castillo, J. Usefulness of monocyte distribution width (MDW) as a sepsis biomarker. Rev Española Quimioter 2022;35(1 Suppl):2–5. https://doi.org/10.37201/req/s01.01.2022.Search in Google Scholar PubMed PubMed Central

11. Agnello, L, Vidali, M, Lo Sasso, B, Giglio, RV, Gambino, CM, Scazzone, C, et al.. Monocyte distribution width (MDW) as a screening tool for early detecting sepsis: a systematic review and meta-analysis. Clin Chem Lab Med 2022;60:786–92. https://doi.org/10.1515/cclm-2021-1331.Search in Google Scholar PubMed

12. Ligi, D, Lo Sasso, B, Giglio, RV, Maniscalco, R, DellaFranca, C, Agnello, L, et al.. Circulating histones contribute to monocyte and MDW alterations as common mediators in classical and COVID-19 sepsis. Crit Care 2022;26:260. https://doi.org/10.1186/s13054-022-04138-2.Search in Google Scholar PubMed PubMed Central

13. Menéndez-Sánchez, P, León-Salinas, C, Amo-Salas, M, Méndez-Cea, B, García-Carranza, A. Association of laboratory and radiologic parameters in the diagnosis of acute cholecystitis. Rev Gastroenterol Mexico 2019;84:449–54. https://doi.org/10.1016/j.rgmxen.2019.02.007.Search in Google Scholar

14. Raffee, L, Kuleib, S, Oteir, A, Kewan, T, Alawneh, K, Beovich, B, et al.. Utility of leucocytes, inflammatory markers and pancreatic enzymes as indicators of gangrenous cholecystitis. Postgrad Med J 2020;96:134–8. https://doi.org/10.1136/postgradmedj-2019-137095.Search in Google Scholar PubMed

15. Er, S, Ozden, S, Celik, C, Yuksel, BC. Can we predict severity of acute cholecystitis at admission? Pakistan J Med Sci 2018;34:1293–6. https://doi.org/10.12669/pjms.345.14502.Search in Google Scholar PubMed PubMed Central

16. Yuzbasioglu, Y, Duymaz, H, Tanrikulu, CS, Halhalli, HC, Koc, MO, Tandoğan, M, et al.. Role of procalcitonin in evaluation of the severity of acute cholecystitis. Eurasian J Med 2016;48:162–6. https://doi.org/10.5152/eurasianmedj.2016.0052.Search in Google Scholar PubMed PubMed Central

17. van Dijk, AH, de Reuver, PR, Tasma, TN, van Dieren, S, Hugh, TJ, Boermeester, MA. Systematic review of antibiotic treatment for acute calculous cholecystitis. Br J Surg 2016;103:797–811. https://doi.org/10.1002/bjs.10146.Search in Google Scholar PubMed

18. Abe, K, Suzuki, K, Yahagi, M, Murata, T, Sako, H, Ishii, Y. The efficacy of PTGBD for acute cholecystitis based on the Tokyo guidelines 2018. World J Surg 2019;43:2789–96. https://doi.org/10.1007/s00268-019-05117-5.Search in Google Scholar PubMed

19. Cheng, X, Cheng, P, Xu, P, Hu, P, Zhao, G, Tao, K, et al.. Safety and feasibility of prolonged versus early laparoscopic cholecystectomy for acute cholecystitis: a single-center retrospective study. Surg Endosc 2021;35:2297–305. https://doi.org/10.1007/s00464-020-07643-z.Search in Google Scholar PubMed PubMed Central

20. Serban, D, Socea, B, Balasescu, SA, Badiu, CD, Tudor, C, Dascalu, AM, et al.. Safety of laparoscopic cholecystectomy for acute cholecystitis in the elderly: a multivariate analysis of risk factors for intra and postoperative complications. Medicina 2021;57:1–16. https://doi.org/10.3390/medicina57030230.Search in Google Scholar PubMed PubMed Central

21. Seymour, CW, Liu, VX, Iwashyna, TJ, Brunkhorst, FM, Rea, TD, Scherag, A, et al.. Assessment of clinical criteria for sepsis: for the third international consensus definitions for sepsis and septic shock (sepsis-3). JAMA 2016;315:762–74. https://doi.org/10.1001/jama.2016.0288.Search in Google Scholar PubMed PubMed Central

22. Auffray, C, Sieweke, MH, Geissmann, F. Blood monocytes: development, heterogeneity, and relationship with dendritic cells. Annu Rev Immunol 2009;27:669–92. https://doi.org/10.1146/annurev.immunol.021908.132557.Search in Google Scholar PubMed

23. Issekutz, AC, Issekutz, TB. Quantitation and kinetics of blood monocyte migration to acute inflammatory reactions, and IL-1 alpha, tumor necrosis factor-alpha, and IFN-gamma. J Immunol 1993;151:2105–15. https://doi.org/10.4049/jimmunol.151.4.2105.Search in Google Scholar

24. Boyette, LB, Macedo, C, Hadi, K, Elinoff, BD, Walters, JT, Ramaswami, B, et al.. Phenotype, function, and differentiation potential of human monocyte subsets. PLoS One 2017;12:e0176460. https://doi.org/10.1371/journal.pone.0176460.Search in Google Scholar PubMed PubMed Central

25. Jakubzick, CV, Randolph, GJ, Henson, PM. Monocyte differentiation and antigen-presenting functions. Nat Rev Immunol 2017;17:349–62. https://doi.org/10.1038/nri.2017.28.Search in Google Scholar PubMed

26. Crouser, ED, Parrillo, JE, Seymour, CW, Angus, DC, Bicking, K, Esguerra, VG, et al.. Monocyte distribution width: a novel indicator of sepsis-2 and sepsis-3 in high-risk emergency department patients. Crit Care Med 2019;47:1018–25. https://doi.org/10.1097/ccm.0000000000003799.Search in Google Scholar PubMed PubMed Central

27. Ligi, D, Sasso, BL, Henry, BM, Ciaccio, M, Lippi, G, Plebani, M, et al.. Deciphering the role of monocyte and monocyte distribution width (MDW) in COVID-19: an updated systematic review and meta-analysis. Clin Chem Lab Med 2023;61:960–73. https://doi.org/10.1515/cclm-2022-0936.Search in Google Scholar PubMed

28. Nikfarjam, M, Yeo, D, Perini, M, Fink, MA, Muralidharan, V, Starkey, G, et al.. Outcomes of cholecystectomy for treatment of acute cholecystitis in octogenarians. ANZ J Surg 2014;84:943–8. https://doi.org/10.1111/ans.12313.Search in Google Scholar PubMed

29. Dimitrov, E, Minkov, G, Enchev, E, Halacheva, K, Yovtchev, Y. A combination of C-reactive protein and quick sequential organ failure assessment (qSOFA) score has better prognostic accuracy than qSOFA alone in patients with complicated intra-abdominal infections. Acta Chir Belg 2020;120:396–400. https://doi.org/10.1080/00015458.2019.1642579.Search in Google Scholar PubMed

30. Lledó, JB, Ibañez, JC, Mayor, LG, Juan, MB. Laparoscopic cholecystectomy and liver cirrhosis. Surg Laparosc Endosc Percutaneous Tech 2011;21:391–5. https://doi.org/10.1097/sle.0b013e31823b5096.Search in Google Scholar PubMed

31. Micić, D, Stanković, S, Lalić, N, Đukić, V, Polovina, S. Prognostic value of preoperative neutrophil-to-lymphocyte ratio for prediction of severe cholecystitis. J Med Biochem 2018;37:121–7. https://doi.org/10.1515/jomb-2017-0063.Search in Google Scholar PubMed PubMed Central

32. Wu, A, Wang, J, Han, F, Ni, Y. Correlation between shock index and severity of septic shock and its prognostic value. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue 2018;30:1141–5. https://doi.org/10.3760/cma.j.issn.2095-4352.2018.012.008.Search in Google Scholar PubMed

33. Tufo, A, Pisano, M, Ansaloni, L, de Reuver, P, van Laarhoven, K, Davidson, B, et al.. Risk prediction in acute calculous cholecystitis: a systematic review and meta-analysis of prognostic factors and predictive models. J Laparoendosc Adv Surg Tech 2021;31:41–53. https://doi.org/10.1089/lap.2020.0151.Search in Google Scholar PubMed

Received: 2023-02-24
Accepted: 2023-04-09
Published Online: 2023-04-21
Published in Print: 2023-09-26

© 2023 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Laboratory Medicine: from just testing to saving lives
  4. Reviews
  5. Serum biomarkers of remodeling in severe asthma with fixed airway obstruction and the potential role of KL-6
  6. Safety monitoring of drug-induced muscle injury and rhabdomyolysis: a biomarker-guided approach for clinical practice and drug trials
  7. Mini Review
  8. Concise review on the combined use of immunocapture, mass spectrometry and liquid chromatography for clinical applications
  9. Opinion Paper
  10. Recommendation for the design of stability studies on clinical specimens
  11. General Clinical Chemistry and Laboratory Medicine
  12. Assessment of WHO 07/202 reference material and human serum pools for commutability and for the potential to reduce variability among soluble transferrin receptor assays
  13. veRification: an R Shiny application for laboratory method verification and validation
  14. Impact of storage temperature and time before analysis on electrolytes (Na+, K+, Ca2+), lactate, glucose, blood gases (pH, pO2, pCO2), tHb, O2Hb, COHb and MetHb results
  15. The stability of blood gases and CO-oximetry under slushed ice and room temperature conditions
  16. Elevated levels of renal function tests conferred increased risks of developing various pregnancy complications and adverse perinatal outcomes: insights from a population-based cohort study
  17. Poor comparability of plasma renin activity measurement in determining patient samples: the status quo and recommendations for harmonization
  18. Salivary cortisol and cortisone in diagnosis of Cushing’s syndrome – a comparison of six different analytical methods
  19. Improved diagnostics of purine and pyrimidine metabolism disorders using LC-MS/MS and its clinical application
  20. Analytical evaluation of a GAD65 antibodies chemiluminescence immunoassay for CSF in neurological syndromes
  21. Reference Values and Biological Variations
  22. Evaluation of low-density lipoprotein cholesterol equations by cross-platform assessment of accuracy-based EQA data against SI-traceable reference value
  23. Highly sensitive tandem mass spectrometric measurement of serum estradiol without derivatization and pediatric reference intervals in children and adolescents
  24. Cancer Diagnostics
  25. Practical delta check limits for tumour markers in different clinical settings
  26. Comparison between free β subunit of human chorionic gonadotropin (hCG) and total hCG assays in adults with testicular cancer
  27. Hematology and Coagulation
  28. Value of monocyte distribution width for predicting severe cholecystitis: a retrospective cohort study
  29. Performance of digital morphology analyzer Medica EasyCell assistant
  30. Validation of non-invasive point of care blood content analysis using the TensorTip™ MTX device: a method comparison study
  31. Infectious Diseases
  32. Kinetics and ability of binding antibody and surrogate virus neutralization tests to predict neutralizing antibodies against the SARS-CoV-2 Omicron variant following BNT162b2 booster administration
  33. Letters to the Editor
  34. The first case of VEXAS syndrome in Austria
  35. Acetylcholine receptor and muscle-specific tyrosine kinase antibodies detection: is it time for a change?
  36. Performance of the 2009 CKDEPI, 2021 CKDEPI, and EKFC equations among high-risk patients in Denmark
  37. Biotin interference in immunoassays: water under the bridge?
  38. The new synthetic benzimidazole opioid etonitazepipne: an emerging fatal harm and a challenge for laboratory medicine
  39. Unexplained increase of serum carcinoembryonic antigen: don’t forget the thyroid!
  40. Falsely elevated cortisol serum levels in preterm infants due to use of immunoassay
  41. Misdiagnosis of Hb Bart’s disease: prenatal screening and diagnosis of thalassemia in special population
Downloaded on 10.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/cclm-2023-0195/html
Scroll to top button