Background and Objective The white blood cell count to mean platelet volume ratio(WMR)has recently been described as a predictor of cardiovascular events in patients who undergo percutaneous coronary intervention(PCI)...Background and Objective The white blood cell count to mean platelet volume ratio(WMR)has recently been described as a predictor of cardiovascular events in patients who undergo percutaneous coronary intervention(PCI).The aim of this study was to investigate the usefulness of admission WMR in predicting outcomes in patients with acute coronary syndrome(ACS).展开更多
AIM： To assess the validity of our selection criteria for hepatectomy procedures based on indocyanine green disappearance rate （KICG）, and to unveil the factors affecting posthepatectomy mortality in patients with ...AIM： To assess the validity of our selection criteria for hepatectomy procedures based on indocyanine green disappearance rate （KICG）, and to unveil the factors affecting posthepatectomy mortality in patients with hepatocellular carcinoma （HCC）. METHODS： A retrospective analysis of 198 consecutive patients with HCC who underwent partial hepatectomies in the past 14 years was conducted. The selection criteria for hepatectomy procedures during the study period were KICG≥0.12 for hemihepatectomy, KICG≥0.10 for bisegmentectomy, KCG≥0.08 for monosegmentectomy, and KICG≥ 0.06 for nonanatomic hepatectomy. The hepatectomies were categorized into three types： major hepatectomy （hemihepatectomy or a more extensive procedure）, bisegmentectomy, and limited hepatectomy. Univariate （Fishers exact test） and multivariate （the logistic regression model） analyses were used. RESULTS： Postoperative mortality was 5% after major hepatectomy, 3% after bisegmentectomy, and 3% after limited hepatectomy. The bhree percentages were comparable （P = 0.876）. The platelet count of ≤ 10× 10^4/μL was the strongest independent factor for postoperative mortality on univariate （P = 0.001） and multivariate （risk ratio, 12.5; P= 0.029） analyses. No patient with a platelet count of 〉7.3× 10^4/μL died of postoperative morbidity, whereas 25% （6/24 patients） of patients with a platelet count of ≤7.3×10^4/μL died （P〈0.001）. CONCLUSION： The selection criteria for hepatectomy procedures based on KICG are generally considered valid, because of the acceptable morbidity and mortality with these criteria. The preoperative platelet count independently affects morbidity and mortality after hepatectomy, suggesting that a combination of KICG and platelet count would further reduce postoperative mortality.展开更多
BACKGROUND Non-alcoholic fatty liver disease(NAFLD)is the most common cause of chronic liver disease and affects approximately 25%of the general global adult population.The prognosis of NAFLD patients with advanced li...BACKGROUND Non-alcoholic fatty liver disease(NAFLD)is the most common cause of chronic liver disease and affects approximately 25%of the general global adult population.The prognosis of NAFLD patients with advanced liver fibrosis is known to be poor.It is difficult to assess disease progression in all patients with NAFLD;thus,it is necessary to identify patients who will show poor prognosis.AIM To investigate the efficacy of non-invasive biomarkers for predicting disease progression in patients with NAFLD.METHODS We investigated biomarkers associated with mortality in patients with NAFLD who visited the Kawasaki Medical School General Medical Center from 1996 to 2018 and underwent liver biopsy and had been followed-up for>1 year.Cumulative overall mortality and liver-related events during follow-up were calculated using the Kaplan-Meier analysis and compared using log-rank testing.We calculated the odds ratio and performed receiver operating characteristic curve analysis with logistic regression analysis to determine the optimal cut-off value with the highest prognostic ability.RESULTS We enrolled 489 patients who were followed-up for a period of 1-22.2 years.In total,13 patients died(2.7%of total patients enrolled);7 patients died due to liverrelated causes.Poor prognosis was associated with liver fibrosis on histological examination but not with inflammation or steatosis.Blood biomarkers associated with mortality were platelet counts,albumin levels,and type IV collagen 7S levels.The optimal cutoff index for predicting total mortality was a platelet count of 15×10^(4)/μL,albumin level of 3.5 g/dL,and type IV collagen 7S level of 5 mg/dL.In particular,only one-factor patients with NAFLD presenting with platelet counts≤15×10^(4)/μL,albumin levels≤3.5 g/dL,or type IV collagen 7S≥5 mg/dL showed 5-year,10-year,and 15-year survival rates of 99.7%,98.3%,and 94%,respectively.However,patients with two factors had lower 5-year and 10-year survival rates of 98%and 43%,respectively.Similarly,patients with all three factors showed the lowest 5-year and 10-year survival rates of 53%and 26%,respectively.CONCLUSION A combination of the three non-invasive biomarkers is a useful predictor of NAFLD prognosis and can help identify patients with NAFLD who are at a high risk of all-cause mortality.展开更多
Background: Pre-eclampsia (PE), a complex, multisystem, pregnancy-associated hypertensive disorder, typically developing after the 20<sup>th</sup> week of gestation, that complicates 2% - 8% of pregnancies...Background: Pre-eclampsia (PE), a complex, multisystem, pregnancy-associated hypertensive disorder, typically developing after the 20<sup>th</sup> week of gestation, that complicates 2% - 8% of pregnancies, is a leading cause of neonatal and maternal mortality and morbidity. Aim of the Work: To identify different factors predicting transformation of non-severe pre-eclampsia in to pre-eclampsia with severe features. Patients and Methods: This prospective cohort study was conducted at tertiary care hospital at Ain Shams University hospitals from June 2021 till January 2022 and performed on total of 100 patients who diagnosed as non-severe pre-eclampsia after exclusion of severity features. Results: The current study revealed that transformation to severe pre-eclampsia occurred in 33% of the studied cases. Body mass index (BMI), past and family histories of preeclampsia statistically were significantly higher in cases transformed into preeclampsia with severe features. Admission blood pressure, albumin dipstick, Oligohydramnios and IUGR statistically were significantly higher in cases with transformation from non-severe pre-eclampsia into pre-eclampsia with severe features. Platelet count statistically was significantly lower in cases with transformation from non-severe pre-eclampsia into pre-eclampsia with severe features Conclusion: Our study results identified the most important clinical risk factors for transformation to severe features of pre-eclampsia from non-severe features and provided new information on the level of risk associated with specific combinations of risk factors (BMI ≥ 35.4, admission systolic blood pressure, admission diastolic blood pressure, albumin dipstick 4+ and platelets count) with low significant diagnostic performance in predicting transformation from non-severe pre-eclampsia into pre-eclampsia with severe features.展开更多
文摘Background and Objective The white blood cell count to mean platelet volume ratio(WMR)has recently been described as a predictor of cardiovascular events in patients who undergo percutaneous coronary intervention(PCI).The aim of this study was to investigate the usefulness of admission WMR in predicting outcomes in patients with acute coronary syndrome(ACS).
文摘AIM： To assess the validity of our selection criteria for hepatectomy procedures based on indocyanine green disappearance rate （KICG）, and to unveil the factors affecting posthepatectomy mortality in patients with hepatocellular carcinoma （HCC）. METHODS： A retrospective analysis of 198 consecutive patients with HCC who underwent partial hepatectomies in the past 14 years was conducted. The selection criteria for hepatectomy procedures during the study period were KICG≥0.12 for hemihepatectomy, KICG≥0.10 for bisegmentectomy, KCG≥0.08 for monosegmentectomy, and KICG≥ 0.06 for nonanatomic hepatectomy. The hepatectomies were categorized into three types： major hepatectomy （hemihepatectomy or a more extensive procedure）, bisegmentectomy, and limited hepatectomy. Univariate （Fishers exact test） and multivariate （the logistic regression model） analyses were used. RESULTS： Postoperative mortality was 5% after major hepatectomy, 3% after bisegmentectomy, and 3% after limited hepatectomy. The bhree percentages were comparable （P = 0.876）. The platelet count of ≤ 10× 10^4/μL was the strongest independent factor for postoperative mortality on univariate （P = 0.001） and multivariate （risk ratio, 12.5; P= 0.029） analyses. No patient with a platelet count of 〉7.3× 10^4/μL died of postoperative morbidity, whereas 25% （6/24 patients） of patients with a platelet count of ≤7.3×10^4/μL died （P〈0.001）. CONCLUSION： The selection criteria for hepatectomy procedures based on KICG are generally considered valid, because of the acceptable morbidity and mortality with these criteria. The preoperative platelet count independently affects morbidity and mortality after hepatectomy, suggesting that a combination of KICG and platelet count would further reduce postoperative mortality.
文摘BACKGROUND Non-alcoholic fatty liver disease(NAFLD)is the most common cause of chronic liver disease and affects approximately 25%of the general global adult population.The prognosis of NAFLD patients with advanced liver fibrosis is known to be poor.It is difficult to assess disease progression in all patients with NAFLD;thus,it is necessary to identify patients who will show poor prognosis.AIM To investigate the efficacy of non-invasive biomarkers for predicting disease progression in patients with NAFLD.METHODS We investigated biomarkers associated with mortality in patients with NAFLD who visited the Kawasaki Medical School General Medical Center from 1996 to 2018 and underwent liver biopsy and had been followed-up for>1 year.Cumulative overall mortality and liver-related events during follow-up were calculated using the Kaplan-Meier analysis and compared using log-rank testing.We calculated the odds ratio and performed receiver operating characteristic curve analysis with logistic regression analysis to determine the optimal cut-off value with the highest prognostic ability.RESULTS We enrolled 489 patients who were followed-up for a period of 1-22.2 years.In total,13 patients died(2.7%of total patients enrolled);7 patients died due to liverrelated causes.Poor prognosis was associated with liver fibrosis on histological examination but not with inflammation or steatosis.Blood biomarkers associated with mortality were platelet counts,albumin levels,and type IV collagen 7S levels.The optimal cutoff index for predicting total mortality was a platelet count of 15×10^(4)/μL,albumin level of 3.5 g/dL,and type IV collagen 7S level of 5 mg/dL.In particular,only one-factor patients with NAFLD presenting with platelet counts≤15×10^(4)/μL,albumin levels≤3.5 g/dL,or type IV collagen 7S≥5 mg/dL showed 5-year,10-year,and 15-year survival rates of 99.7%,98.3%,and 94%,respectively.However,patients with two factors had lower 5-year and 10-year survival rates of 98%and 43%,respectively.Similarly,patients with all three factors showed the lowest 5-year and 10-year survival rates of 53%and 26%,respectively.CONCLUSION A combination of the three non-invasive biomarkers is a useful predictor of NAFLD prognosis and can help identify patients with NAFLD who are at a high risk of all-cause mortality.
文摘Background: Pre-eclampsia (PE), a complex, multisystem, pregnancy-associated hypertensive disorder, typically developing after the 20<sup>th</sup> week of gestation, that complicates 2% - 8% of pregnancies, is a leading cause of neonatal and maternal mortality and morbidity. Aim of the Work: To identify different factors predicting transformation of non-severe pre-eclampsia in to pre-eclampsia with severe features. Patients and Methods: This prospective cohort study was conducted at tertiary care hospital at Ain Shams University hospitals from June 2021 till January 2022 and performed on total of 100 patients who diagnosed as non-severe pre-eclampsia after exclusion of severity features. Results: The current study revealed that transformation to severe pre-eclampsia occurred in 33% of the studied cases. Body mass index (BMI), past and family histories of preeclampsia statistically were significantly higher in cases transformed into preeclampsia with severe features. Admission blood pressure, albumin dipstick, Oligohydramnios and IUGR statistically were significantly higher in cases with transformation from non-severe pre-eclampsia into pre-eclampsia with severe features. Platelet count statistically was significantly lower in cases with transformation from non-severe pre-eclampsia into pre-eclampsia with severe features Conclusion: Our study results identified the most important clinical risk factors for transformation to severe features of pre-eclampsia from non-severe features and provided new information on the level of risk associated with specific combinations of risk factors (BMI ≥ 35.4, admission systolic blood pressure, admission diastolic blood pressure, albumin dipstick 4+ and platelets count) with low significant diagnostic performance in predicting transformation from non-severe pre-eclampsia into pre-eclampsia with severe features.
