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Objective Previous reports have demonstrated the association of serum bilirubin levels with the progression of diabetic nephropathy. The objective of this study is to assess the association of basal bilirubin levels with progressive renal decline (PRD) and end-stage kidney disease (ESKD). Methods A total of 298 patients with diabetes who visited Kyushu University Hospital (Japan) were recruited and followed up for 10 years. PRD was defined as a negative change in estimated glomerular filtration ratio (eGFR) >3.7%/year, 2.5th percentile. Logistic regression analysis was performed to evaluate the association of total bilirubin levels with PRD and its cut-off point was determined by receiver operating characteristic (ROC) analysis. Kaplan-Meier method and Cox hazard regression analysis were used to evaluate the predictive ability of its cut-off point for ESKD. Results Logistic regression model showed that total bilirubin levels were significantly associated with PRD, and ROC analysis showed that its cut-off point was 0.5 mg/dL. Kaplan-Meier method showed that the percent of patients who reached two endpoints, composite endpoint (ESKD or doubling of creatinine level) or 30% eGFR decline, was significantly higher in the low bilirubin group than in the high bilirubin group (18.5% vs 11.0%, P = 0.045; 49.1% vs 42.1%, P = 0.045, respectively, log-rank test). Cox hazard regression models confirmed the independence of the predictive ability of its cut-off point. Conclusions Serum total bilirubin levels were negatively associated with PRD in diabetic nephropathy and its cut-off point was 0.5 mg/dL. It may be clinically useful for identifying patients at high risk of ESKD.

Liver steatosis can be measured with ultrasound techniques such as the controlled attenuation parameter (CAP) on an equipped FibroScan. For more widespread screening and quantitative evaluation of liver steatosis, a predictive model using body composition data obtained by body bioelectrical impedance analysis (BIA) was developed. In the training cohort including 365 patients suspected of having metabolic dysfunction-associated steatotic liver disease, a stepwise selection method was used to determine the BIA-related variables associated with CAP. Using the significant variables, a predictive formula was developed, and the estimated CAP (eCAP) was obtained. The diagnostic performance of eCAP was tested to predict liver steatosis with receiver operating characteristic (ROC) curve analysis in the training, validation ( n  = 408) and liver biopsy ( n  = 158) cohorts. The body fat mass of the trunk, skeletal muscle index and age were significant variables associated with CAP. eCAP was obtained as 219.1 − 0.4479 × age + 3.476 × BFM of trunk + 7.045 × SMI. The area under the ROC curve was 0.814 in the training cohort and 0.808 in the validation cohort. The sensitivity and specificity were 72.5% and 82.1% with a cut-off value of eCAP = 281 dB/m. For sensitivity ≥ 90%, the cut-off of eCAP was 266 dB/m. In the liver biopsy cohort, the presence of pathological steatosis was predicted with eCAP as an area under the ROC curve = 0.826, which was not statistically different from CAP (0.871). Completely non-invasive BIA-based eCAP could predict liver steatosis.

This study aimed to develop a simplified model for predicting end-stage kidney disease (ESKD) in patients with diabetes. The cohort included 2549 individuals who were followed up at Kyushu University Hospital (Japan) between January 1, 2008 and December 31, 2018. The outcome was a composite of ESKD, defined as an eGFR < 15 mL min −1 [1.73 m] −2 , dialysis, or renal transplantation. The mean follow-up was 5.6 ± 3.7 years, and ESKD occurred in 176 (6.2%) individuals. Both a machine learning random forest model and a Cox proportional hazard model selected eGFR, proteinuria, hemoglobin A1c, serum albumin levels, and serum bilirubin levels in a descending order as the most important predictors among 20 baseline variables. A model using eGFR, proteinuria and hemoglobin A1c showed a relatively good performance in discrimination (C-statistic: 0.842) and calibration (Nam and D’Agostino χ 2 statistic: 22.4). Adding serum albumin and bilirubin levels to the model further improved it, and a model using 5 variables showed the best performance in the predictive ability (C-statistic: 0.895, χ 2 statistic: 7.7). The accuracy of this model was validated in an external cohort (n = 5153). This novel simplified prediction model may be clinically useful for predicting ESKD in patients with diabetes.

Background Although the side effects of cancer chemotherapy impair a patient's quality of life, family members' awareness of side effects may relieve patient anxiety and distress. Aim We investigated whether patients and their families were consistent in recognizing the occurrence and severity of symptomatic side effects of chemotherapy treatment for cancer. Methods and results This was a prospective observational study. We administered a questionnaire survey to patients and family members to assess the frequency of occurrence (1: never, 2: almost never, 3: sometimes, 4: frequently, 5: almost always, 6: unknown) and the degree of severity (1: mild, 2: moderate, 3: severe, 4: extremely severe, 5: unknown) of physical and psychological symptoms associated with cancer chemotherapy. Weighted Kappa and Cramer coefficients were used to assess consistency between the two groups. We surveyed 20 pairs of patients (5 men, 15 women) and their families (10 men, 10 women); 17 pairs lived together. The median age was 65.5 years (interquartile [IQR], 58.75, 69.25) for patients and 61.00 years (IQR, 47.25, 71.25) for family members. Of patients, 17 had solid cancer, and three had leukemia. Family members mostly recognized objectively visible symptoms such as hair loss and development of spots and keratinization. However, it was difficult for families to detect invisible subjective symptoms such as weakness, dysesthesia, depressed mood, and unarticulated anxiety. Conclusions The results indicated that recognition of invisible subjective symptoms in patients undergoing chemotherapy was difficult even for family members. Therefore, a multidisciplinary approach in which various medical professionals actively communicate with both patients and families is important. Information sharing in collaboration with patients and families could increase understanding of the patient's condition and optimize patient care.

Background Focal segmental glomerulosclerosis is characterized by partial (segmental) sclerotic lesions in some glomeruli (focal). Primary focal segmental glomerulosclerosis is generally considered resistant to steroid therapy. However, acromegaly is a disease that causes peculiar facial features, body types, and metabolic abnormalities due to the excessive secretion of growth hormone by a pituitary adenoma. Growth hormone has been reported to be involved in glomerular cell growth, mesangial proliferation, and glomerulosclerosis in the kidney. Case presentation We report a case of a Japanese patient with focal segmental glomerulosclerosis in whom decreased urinary protein was observed after surgical treatment for acromegaly. Conclusion The patient’s urinary protein improved as the concentration of growth hormone/insulin-like growth factor 1 decreased.

ObjectivePrevious reports have demonstrated the association of serum bilirubin levels with the progression of diabetic nephropathy. The objective of this study is to assess the association of basal bilirubin levels with progressive renal decline (PRD) and end-stage kidney disease (ESKD).MethodsA total of 298 patients with diabetes who visited Kyushu University Hospital (Japan) were recruited and followed up for 10 years. PRD was defined as a negative change in estimated glomerular filtration ratio (eGFR) >3.7%/year, 2.5th percentile. Logistic regression analysis was performed to evaluate the association of total bilirubin levels with PRD and its cut-off point was determined by receiver operating characteristic (ROC) analysis. Kaplan-Meier method and Cox hazard regression analysis were used to evaluate the predictive ability of its cut-off point for ESKD.ResultsLogistic regression model showed that total bilirubin levels were significantly associated with PRD, and ROC analysis showed that its cut-off point was 0.5 mg/dL. Kaplan-Meier method showed that the percent of patients who reached two endpoints, composite endpoint (ESKD or doubling of creatinine level) or 30% eGFR decline, was significantly higher in the low bilirubin group than in the high bilirubin group (18.5% vs 11.0%, P = 0.045; 49.1% vs 42.1%, P = 0.045, respectively, log-rank test). Cox hazard regression models confirmed the independence of the predictive ability of its cut-off point.ConclusionsSerum total bilirubin levels were negatively associated with PRD in diabetic nephropathy and its cut-off point was 0.5 mg/dL. It may be clinically useful for identifying patients at high risk of ESKD.

Background Toxic epidermal necrolysis (TEN) and severe burns both have high mortality rates, but coexistence is extremely rare. The specificity of developing TEN in burn patients is not well understood and its treatment strategy is not established. Case Presentation A 68‐year‐old man was carried to our hospital with severe burns covering 35% of his body surface area. He developed bacteremia during treatment of burns and required antimicrobial therapy. However, erythema appeared on the trunk and upper limbs and rapidly spread to the extremities, leading to a diagnosis of TEN. The rash gradually improved after terminating antimicrobial therapy and administrating of 1,000 mg/day methylprednisolone for 3 days. The rash caused by TEN was confined to non‐burned areas, suggesting that TEN may less likely occur at burn sites. Conclusion It is necessary to pay attention because burn patients can develop TEN concomitantly. Corticosteroids therapy may be effective for TEN even in severe burn patients. Severe burns and toxic epidermal necrolysis can coexist. Corticosteroid therapy based on early discontinuation of the causative agent and close skin observation is necessary for improvement.