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Kao CH, Liu YH, Chen WK, Huang FW, Hsu TY, Cheng HT, Hsueh PR, Hsiao CT, Wu SY, Shih HM. Value of monocyte distribution width for predicting severe cholecystitis: a retrospective cohort study. Clin Chem Lab Med 2023; 61:1850-1857. [PMID: 37078229 DOI: 10.1515/cclm-2023-0195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 04/09/2023] [Indexed: 04/21/2023]
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.
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Affiliation(s)
- Chih-Hao Kao
- Department of Emergency Medicine, China Medical University Hospital, Taichung, Taiwan
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Yen-Hung Liu
- Department of Emergency Medicine, China Medical University Hospital, Taichung, Taiwan
- Department of Emergency Medicine, China Medical University Beigang Hospital, Yunlin, Taiwan
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Wei-Kung Chen
- Department of Emergency Medicine, China Medical University Hospital, Taichung, Taiwan
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Fen-Wei Huang
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
| | - Tai-Yi Hsu
- Department of Emergency Medicine, China Medical University Hospital, Taichung, Taiwan
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
- Department of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan
| | - Han-Tsung Cheng
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
- Department of Surgery, China Medical University Hospital, Taichung, Taiwan
| | - Po-Ren Hsueh
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
- Department of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan
- Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan
| | - Chiung-Tzu Hsiao
- Department of Laboratory Medicine, China Medical University Hospital, Taichung, Taiwan
| | - Shih-Yun Wu
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Hong-Mo Shih
- Department of Emergency Medicine, China Medical University Hospital, Taichung, Taiwan
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
- Department of Public Health, China Medical University, Taichung, Taiwan
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Khafaji MA, Bagasi JT, Albahiti SK, Alsayegh LA, Alsayyad SA, Algarni SS, Bahowarth SY, Baghdadi ES. Accuracy of Ultrasound and Computed Tomography in Diagnosing Acute Cholecystitis Patients in a Tertiary Care Center in Saudi Arabia. Cureus 2023; 15:e44934. [PMID: 37818501 PMCID: PMC10560961 DOI: 10.7759/cureus.44934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/09/2023] [Indexed: 10/12/2023] Open
Abstract
Background Acute cholecystitis (AC) is a gallbladder inflammatory disease often associated with gallbladder stones. It accounts for up to 5% of emergency department visits. The majority of patients present with pain in the right upper quadrant, Murphy's sign, and fever. Furthermore, Saudi Arabia has been noted to have a significant prevalence of AC. According to the 2018 Tokyo Guidelines, imaging is an essential element, combined with local and systemic evidence of inflammation, for a confirmed diagnosis of AC. The definitive therapy is conducted surgically by cholecystectomy either urgently or electively. However, there are insufficient studies that focus on the accuracy of imaging in diagnosing AC patients in Saudi Arabia. Objective The aim of this study is to assess the accuracy of ultrasound (US) versus computed tomography (CT) in diagnosing AC patients at King Abdulaziz University Hospital (KAUH), Jeddah, Saudi Arabia. Methods and material A retrospective record review was conducted at KAUH during the period of June to July 2022. The study included 192 patients diagnosed with AC in the emergency department or outpatient department by US or CT or both and confirmed by laparoscopic cholecystectomy and histopathology between 2016 and 2022. Results The most common modality used was US (79.7%), followed by both US and contrast CT (10.9%). For CT, sensitivity was 81.3%, specificity was 62.5%, positive predictive value (PPV) was 59.1%, and negative predictive value (NPV) was 83.3%. For US, sensitivity was 37.9%, specificity was 81.7%, PPV was 50%, and NPV was 73.1%. A significant relationship was observed between both genders and high use of US (P = 0.0001). Conclusion We found that CT is more sensitive than US, while US is more specific in diagnosing AC.
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Affiliation(s)
- Mawya A Khafaji
- Radiology Department, Faculty of Medicine, King Abdulaziz University Hospital, Jeddah, SAU
| | - Juman T Bagasi
- Faculty of Medicine, King Abdulaziz University Hospital, Jeddah, SAU
| | - Sarah K Albahiti
- Radiology Department, Faculty of Medicine, King Abdulaziz University Hospital, Jeddah, SAU
| | - Lama A Alsayegh
- Faculty of Medicine, King Abdulaziz University Hospital, Jeddah, SAU
| | - Shahd A Alsayyad
- Faculty of Medicine, King Abdulaziz University Hospital, Jeddah, SAU
| | - Seba S Algarni
- Faculty of Medicine, King Abdulaziz University Hospital, Jeddah, SAU
| | - Sarah Y Bahowarth
- Faculty of Medicine, King Abdulaziz University Hospital, Jeddah, SAU
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