BACKGROUND Pancreatic cystic neoplasms(PCNs)are increasingly detected due to advancements in radiographic techniques,with a prevalence of approximately 15%in the general population.These lesions range from benign to p...BACKGROUND Pancreatic cystic neoplasms(PCNs)are increasingly detected due to advancements in radiographic techniques,with a prevalence of approximately 15%in the general population.These lesions range from benign to premalignant and malignant,posing a diagnostic challenge.Accurate differentiation is critical,as premalignant and malignant PCNs often require surgical intervention,while benign cysts may only need monitoring unless symptomatic.Current diagnostic methods,including cross-sectional imaging,endoscopic ultrasonography,and endoscopic ultrasonography-guided fine-needle aspiration/biopsy,are specialized,not universally available,and have variable accuracy.Clinical and laboratory parameters such as carbohydrate antigen 19-9(CA 19-9),neutrophillymphocyte ratio,platelet-lymphocyte ratio,and red cell distribution width(RDW)have been associated with malignancy risk,though only CA 19-9 is guideline-supported.AIM To assess the malignancy risk of PCNs using preoperative clinical and routine laboratory parameters.METHODS A retrospective cohort study analyzed 70 patients who underwent surgery for PCNs at Ankara Bilkent City Hospital between February 2019 and March 2023.Patients were categorized into group A(benign or low-grade dysplasia,n=40)and group B(malignancy or high-grade dysplasia,n=30)based on postoperative pathology.Preoperative demographic and laboratory parameters,including age,RDW,albumin,and CA 19-9,were compared.Univariate and multivariate logistic regression analyses identified independent predictors of malignancy.Receiver operating characteristic curve analysis evaluated predictive performance,with internal validation using bootstrapping.RESULTS Group B patients were older(69.86±9.58 years vs 52.74±16.85 years,P<0.001)and had a higher incidence of diabetes mellitus(57.1%vs 21.4%,P=0.002).RDW(16.2%vs 13.7%,P<0.001),platelet-lymphocyte ratio(178 vs 126,P=0.008),and CA 19-9(21.7 U/mL vs 9.3 U/mL,P=0.009)were significantly higher in group B,while albumin was lower(41 g/L vs 45 g/L,P=0.008).Multivariate analysis identified age[odds ratio=1.067,95%confidence interval(CI):1.014-1.122,P=0.012]and RDW(odds ratio=1.784,95%CI:1.172-2.715,P=0.007)as independent predictors.The area under the curve for age,RDW,and their combination was 0.798(95%CI:0.695-0.900),0.801(95%CI:0.692-0.911),and 0.858(95%CI:0.771-0.944),respectively,with bootstrapped validation confirming stability.Cut-off values of age≥60 years and RDW≥15.5%balanced sensitivity and specificity,increasing malignancy risk 15.3-fold and 22.6-fold,respectively.CONCLUSION Age and RDW are independent predictors of malignancy in PCNs,aiding in patient selection for advanced diagnostics and surgery.Larger,multicenter studies are needed to validate these findings.展开更多
Background: It is crucial to assess the severity of acute cholangitis(AC). There are currently several prognostic markers. However, the accuracies of these markers are not satisfied. The present study aimed to investi...Background: It is crucial to assess the severity of acute cholangitis(AC). There are currently several prognostic markers. However, the accuracies of these markers are not satisfied. The present study aimed to investigate the predictive value of the red cell distribution width(RDW)-to-albumin ratio(RAR) for the prognosis of AC. Methods: We retrospectively evaluated consecutive patients diagnosed with AC between May 2019 and March 2022. RAR was calculated, and its predictive ability for in-hospital mortality, intensive care unit(ICU) admission, bacteremia, and the length of hospitalization were analyzed. Results: Out of 438 patients, 34(7.8%) died. Multivariate analysis showed that malignant etiology [odds ratio(OR) = 4.816, 95% confidence interval(CI): 1.936-11.980], creatinine(OR = 1.649, 95% CI: 1.095-2.484), and RAR(OR = 2.064, 95% CI: 1.494-2.851) were independent risk factors for mortality. When adjusted for relevant covariates, including age, sex, malignant etiology, Tokyo severity grading(TSG), Charlson comorbidity index, and creatinine, RAR significantly predicted mortality(adjusted OR = 1.833, 95% CI: 1.280-2.624). When the cut-off of RAR was set to 3.8, its sensitivity and specificity for mortality were 94.1% and 56.7%, respectively. Patients with an RAR of > 3.8 had a 20.9-fold(OR = 20.9, 95% CI: 4.9-88.6) greater risk of mortality than the remaining patients. The area under the curve value of RAR for mortality was 0.835(95% CI: 0.770-0.901), which was significantly higher than that of TSG and the other prognostic markers, such as C-reactive protein-to-albumin ratio, and procalcitonin-to-albumin ratio. Lastly, RAR was not inferior to TSG in predicting ICU admission, bacteremia, and the length of hospitalization. Conclusions: RAR successfully predicted the in-hospital mortality, ICU admission, bacteremia, and the length of hospitalization of patients with AC, especially in-hospital mortality. RAR is a promising marker that is more convenient than TSG and other prognostic markers for predicting the prognosis of patients with AC.展开更多
文摘BACKGROUND Pancreatic cystic neoplasms(PCNs)are increasingly detected due to advancements in radiographic techniques,with a prevalence of approximately 15%in the general population.These lesions range from benign to premalignant and malignant,posing a diagnostic challenge.Accurate differentiation is critical,as premalignant and malignant PCNs often require surgical intervention,while benign cysts may only need monitoring unless symptomatic.Current diagnostic methods,including cross-sectional imaging,endoscopic ultrasonography,and endoscopic ultrasonography-guided fine-needle aspiration/biopsy,are specialized,not universally available,and have variable accuracy.Clinical and laboratory parameters such as carbohydrate antigen 19-9(CA 19-9),neutrophillymphocyte ratio,platelet-lymphocyte ratio,and red cell distribution width(RDW)have been associated with malignancy risk,though only CA 19-9 is guideline-supported.AIM To assess the malignancy risk of PCNs using preoperative clinical and routine laboratory parameters.METHODS A retrospective cohort study analyzed 70 patients who underwent surgery for PCNs at Ankara Bilkent City Hospital between February 2019 and March 2023.Patients were categorized into group A(benign or low-grade dysplasia,n=40)and group B(malignancy or high-grade dysplasia,n=30)based on postoperative pathology.Preoperative demographic and laboratory parameters,including age,RDW,albumin,and CA 19-9,were compared.Univariate and multivariate logistic regression analyses identified independent predictors of malignancy.Receiver operating characteristic curve analysis evaluated predictive performance,with internal validation using bootstrapping.RESULTS Group B patients were older(69.86±9.58 years vs 52.74±16.85 years,P<0.001)and had a higher incidence of diabetes mellitus(57.1%vs 21.4%,P=0.002).RDW(16.2%vs 13.7%,P<0.001),platelet-lymphocyte ratio(178 vs 126,P=0.008),and CA 19-9(21.7 U/mL vs 9.3 U/mL,P=0.009)were significantly higher in group B,while albumin was lower(41 g/L vs 45 g/L,P=0.008).Multivariate analysis identified age[odds ratio=1.067,95%confidence interval(CI):1.014-1.122,P=0.012]and RDW(odds ratio=1.784,95%CI:1.172-2.715,P=0.007)as independent predictors.The area under the curve for age,RDW,and their combination was 0.798(95%CI:0.695-0.900),0.801(95%CI:0.692-0.911),and 0.858(95%CI:0.771-0.944),respectively,with bootstrapped validation confirming stability.Cut-off values of age≥60 years and RDW≥15.5%balanced sensitivity and specificity,increasing malignancy risk 15.3-fold and 22.6-fold,respectively.CONCLUSION Age and RDW are independent predictors of malignancy in PCNs,aiding in patient selection for advanced diagnostics and surgery.Larger,multicenter studies are needed to validate these findings.
文摘Background: It is crucial to assess the severity of acute cholangitis(AC). There are currently several prognostic markers. However, the accuracies of these markers are not satisfied. The present study aimed to investigate the predictive value of the red cell distribution width(RDW)-to-albumin ratio(RAR) for the prognosis of AC. Methods: We retrospectively evaluated consecutive patients diagnosed with AC between May 2019 and March 2022. RAR was calculated, and its predictive ability for in-hospital mortality, intensive care unit(ICU) admission, bacteremia, and the length of hospitalization were analyzed. Results: Out of 438 patients, 34(7.8%) died. Multivariate analysis showed that malignant etiology [odds ratio(OR) = 4.816, 95% confidence interval(CI): 1.936-11.980], creatinine(OR = 1.649, 95% CI: 1.095-2.484), and RAR(OR = 2.064, 95% CI: 1.494-2.851) were independent risk factors for mortality. When adjusted for relevant covariates, including age, sex, malignant etiology, Tokyo severity grading(TSG), Charlson comorbidity index, and creatinine, RAR significantly predicted mortality(adjusted OR = 1.833, 95% CI: 1.280-2.624). When the cut-off of RAR was set to 3.8, its sensitivity and specificity for mortality were 94.1% and 56.7%, respectively. Patients with an RAR of > 3.8 had a 20.9-fold(OR = 20.9, 95% CI: 4.9-88.6) greater risk of mortality than the remaining patients. The area under the curve value of RAR for mortality was 0.835(95% CI: 0.770-0.901), which was significantly higher than that of TSG and the other prognostic markers, such as C-reactive protein-to-albumin ratio, and procalcitonin-to-albumin ratio. Lastly, RAR was not inferior to TSG in predicting ICU admission, bacteremia, and the length of hospitalization. Conclusions: RAR successfully predicted the in-hospital mortality, ICU admission, bacteremia, and the length of hospitalization of patients with AC, especially in-hospital mortality. RAR is a promising marker that is more convenient than TSG and other prognostic markers for predicting the prognosis of patients with AC.
