Aaron Kler1, Adnan Taib2, Shahab Hajibandeh3, Shahin Hajibandeh4, Peter Asaad2. 1. Department of General Surgery, Royal Albert Edward Infirmary, Wrightington, Wigan and Leigh NHS Foundation Trust, Wigan, UK. aaron.kler@nhs.net. 2. Department of General Surgery, Royal Albert Edward Infirmary, Wrightington, Wigan and Leigh NHS Foundation Trust, Wigan, UK. 3. Department of General Surgery, Wrexham Maelor Hospital, Wrexham, UK. 4. Department of General Surgery, Hereford County Hospital, Wye Valley NHS Trust, Hereford, UK.
Abstract
PURPOSE: The aim of this review was to examine whether neutrophil-to-lymphocyte ratio (NLR) can predict the presence of cholecystitis and distinguish between simple and severe cholecystitis. METHODS: A systematic literature search was performed. Risk of bias was assessed using the Newcastle-Ottawa Scale. Random effects model was used to calculate mean difference (MD) in two situations: (a) no cholecystitis versus cholecystitis and (b) simple versus severe cholecystitis. Receiver operating characteristic (ROC) curve analysis was performed to determine cut-off values of NLR for the above situations. RESULTS: Ten retrospective studies comprising of 2827 patients were included. Three hundred twenty-seven had no cholecystitis, 2100 had simple cholecystitis and the remaining 400 had severe cholecystitis. NLR was significantly higher in acute cholecystitis compared to "no cholecystitis" (MD = 8.05 (95% CI 7.71-8.38), p < 0.01) and in severe cholecystitis when compared with simple cholecystitis (MD = 3.14 (95% CI 1.26-5.02), p < 0.01). For patients with cholecystitis compared to those without cholecystitis, an NLR cut-off value of 2.98 was identified (AUC = 0.90). Logistic regression analysis confirmed an NLR > 2.9 was an independent predictor of cholecystitis (OR 36.0, p = 0.006). In simple versus severe cholecystitis, an NLR cut-off value of 8.5 was identified (AUC = 0.73). Binary logistic regression analysis suggested an NLR > 8.5 was not an independent predictor of severe cholecystitis (OR 6.5 p = 0.090). CONCLUSION: NLR is significantly higher in patients with cholecystitis of any severity compared to patients without cholecystitis. Moreover, NLR can predict acute cholecystitis. However, NLR cannot predict the severity of disease due to inadequately powered studies. Future research is required.
PURPOSE: The aim of this review was to examine whether neutrophil-to-lymphocyte ratio (NLR) can predict the presence of cholecystitis and distinguish between simple and severe cholecystitis. METHODS: A systematic literature search was performed. Risk of bias was assessed using the Newcastle-Ottawa Scale. Random effects model was used to calculate mean difference (MD) in two situations: (a) no cholecystitis versus cholecystitis and (b) simple versus severe cholecystitis. Receiver operating characteristic (ROC) curve analysis was performed to determine cut-off values of NLR for the above situations. RESULTS: Ten retrospective studies comprising of 2827 patients were included. Three hundred twenty-seven had no cholecystitis, 2100 had simple cholecystitis and the remaining 400 had severe cholecystitis. NLR was significantly higher in acute cholecystitis compared to "no cholecystitis" (MD = 8.05 (95% CI 7.71-8.38), p < 0.01) and in severe cholecystitis when compared with simple cholecystitis (MD = 3.14 (95% CI 1.26-5.02), p < 0.01). For patients with cholecystitis compared to those without cholecystitis, an NLR cut-off value of 2.98 was identified (AUC = 0.90). Logistic regression analysis confirmed an NLR > 2.9 was an independent predictor of cholecystitis (OR 36.0, p = 0.006). In simple versus severe cholecystitis, an NLR cut-off value of 8.5 was identified (AUC = 0.73). Binary logistic regression analysis suggested an NLR > 8.5 was not an independent predictor of severe cholecystitis (OR 6.5 p = 0.090). CONCLUSION: NLR is significantly higher in patients with cholecystitis of any severity compared to patients without cholecystitis. Moreover, NLR can predict acute cholecystitis. However, NLR cannot predict the severity of disease due to inadequately powered studies. Future research is required.
Authors: Larissa Shamseer; David Moher; Mike Clarke; Davina Ghersi; Alessandro Liberati; Mark Petticrew; Paul Shekelle; Lesley A Stewart Journal: BMJ Date: 2015-01-02
Authors: Ashraf M Okba; Mariam M Amin; Ahmed S Abdelmoaty; Hend E Ebada; Amgad H Kamel; Ahmed S Allam; Omar M Sobhy Journal: Auto Immun Highlights Date: 2019-05-15