Non-diabetic nephropathy in diabetic patients: incidence, HbA1c variability and other predictive factors, and implications.

PURPOSE: Diabetes mellitus (DM) is the leading cause of chronic kidney disease (CKD) in the population. In patients with diabetes mellitus, the incidence of non-diabetic nephropathy (NDNP) has been estimated to range from 3% to 69.5%. Personal judgment is frequently employed while deciding whether or not to do a kidney biopsy (KB) on diabetic patients. NDNP alters the prognosis and course of treatment for people with DM. In our study, we examined the incidence of NDNP concurrent with the progression of diabetes mellitus, as well as the laboratory and clinical indicators that could be utilized to forecast it. METHODS: A retrospective analysis of 76 diabetic patients who underwent KB was conducted. Based on the pathological diagnoses of these patients, they were categorized as DNP (diabetic nephropathy) or NDNP. The definition of HbA1c variability was determined by calculating the mean HbA1c and the average value of the HbA1c measurements, as well as the standard deviation (SD) for each participant. RESULTS: NDNP was detected in 50% of 76 patients. Among patients with NDNP, 36.8% had focal segmental glomerulosclerosis (FSGS), 23.6% had membranous glomerulonephritis, and 7.8% had IgA nephritis. The NDNP group exhibited significantly higher rates of female gender, absence of diabetic retinopathy, shorter time to diagnosis of diabetes mellitus, chronic kidney disease, and proteinuria, less intensive medication for diabetes mellitus, presence of hematuria and leukociduria, immunological serological marker positivity, and non-HbA1C variability. Risk factors for predicting non-diabetic nephropathy, as determined by multivariate analysis, included female gender, the absence of diabetic retinopathy, non-HbA1c variability and a positive immunological serological test. CONCLUSION: In this study, a significant number of diabetic patients with chronic kidney disease were diagnosed with NDNP. Identifying these patients allows for treatment of the specific underlying disease. Factors such as the absence of DR, non-HbA1c variability, female gender, and immunological serological test positivity can predict NDNP and guide the clinician's decision on kidney biopsy. Further prospective studies are warranted to validate the efficacy of potential predictive factors like HbA1c variability.

The Longitudinal Evolution of Post-COVID-19 Outcomes Among Hemodialysis Patients in Turkey.

Introduction: Hemodialysis (HD) patients have increased risk for short-term adverse outcomes of COVID-19. However, complications and survival at the post-COVID-19 period have not been published extensively. Methods: We conducted a national, multicenter observational study that included adult maintenance HD patients recovered from confirmed COVID-19. A control HD group without COVID-19 was selected from patients in the same center. We investigated the characteristics and outcomes in the follow-up of HD patients and compare them with the non-COVID-19 group. Results: A total of 1223 patients (635 patients in COVID-19 group, 588 patients in non-COVID-19 group) from 47 centers were included in the study. The patients' baseline and HD characteristics were almost similar. The 28th-day mortality and mortality between 28th day and 90th day were higher in the COVID-19 group than non-COVID-19 group (19 [3.0%] patients vs. none [0%]; 15 [2.4%] patients vs. 4 [0.7%] patients, respectively). The presence of respiratory symptoms, rehospitalization, need for home oxygen therapy, lower respiratory tract infection, and arteriovenous (AV) fistula thrombosis was significantly higher in the COVID-19 group in both the first 28 days and between 28 and 90 days. In the multivariable analysis, age (odds ratio [OR] [95% CI]: 1.029 [1.004-1.056]), group (COVID-19 group vs. non-COVID-19 group) (OR [95% CI]: 7.258 [2.538-20.751]), and vascular access type (tunneled catheter/AV fistula) (OR [95% CI]: 2.512 [1.249-5.051]) were found as independent parameters related to 90-day mortality. Conclusion: In the post-COVID-19 period, maintenance HD patients who have had COVID-19 have increased rehospitalization, respiratory problems, vascular access problems, and high mortality compared with the non-COVID-19 HD patients.

Determinants of mortality in a large group of hemodialysis patients hospitalized for COVID-19.

BACKGROUND: Maintenance hemodialysis (MHD) patients are at increased risk for coronavirus disease 2019 (COVID-19). The aim of this study was to describe clinical, laboratory, and radiologic characteristics and determinants of mortality in a large group of MHD patients hospitalized for COVID-19. METHODS: This multicenter, retrospective, observational study collected data from 47 nephrology clinics in Turkey. Baseline clinical, laboratory and radiological characteristics, and COVID-19 treatments during hospitalization, need for intensive care and mechanical ventilation were recorded. The main study outcome was in-hospital mortality and the determinants were analyzed by Cox regression survival analysis. RESULTS: Of 567 MHD patients, 93 (16.3%) patients died, 134 (23.6%) patients admitted to intensive care unit (ICU) and 91 of the ones in ICU (67.9%) needed mechanical ventilation. Patients who died were older (median age, 66 [57-74] vs. 63 [52-71] years, p = 0.019), had more congestive heart failure (34.9% versus 20.7%, p = 0.004) and chronic obstructive pulmonary disease (23.6% versus 12.7%, p = 0.008) compared to the discharged patients. Most patients (89.6%) had radiological manifestations compatible with COVID-19 pulmonary involvement. Median platelet (166 × 103 per mm3 versus 192 × 103 per mm3, p = 0.011) and lymphocyte (800 per mm3 versus 1000 per mm3, p < 0.001) counts and albumin levels (median, 3.2 g/dl versus 3.5 g/dl, p = 0.001) on admission were lower in patients who died. Age (HR: 1.022 [95% CI, 1.003-1.041], p = 0.025), severe-critical disease clinical presentation at the time of diagnosis (HR: 6.223 [95% CI, 2.168-17.863], p < 0.001), presence of congestive heart failure (HR: 2.247 [95% CI, 1.228-4.111], p = 0.009), ferritin levels on admission (HR; 1.057 [95% CI, 1.006-1.111], p = 0.028), elevation of aspartate aminotransferase (AST) (HR; 3.909 [95% CI, 2.143-7.132], p < 0.001) and low platelet count (< 150 × 103 per mm3) during hospitalization (HR; 1.864 [95% CI, 1.025-3.390], p = 0.041) were risk factors for mortality. CONCLUSION: Hospitalized MHD patients with COVID-19 had a high mortality rate. Older age, presence of heart failure, clinical severity of the disease at presentation, ferritin level on admission, decrease in platelet count and increase in AST level during hospitalization may be used to predict the mortality risk of these patients.

Modified Glasgow Prognostic Score, Prognostic Nutritional Index and ECOG Performance Score Predicts Survival Better than Sarcopenia, Cachexia and Some Inflammatory Indices in Metastatic Gastric Cancer.

Background: Gastric carcinoma (GC) patients usually present with locally advanced or metastatic disease; therefore treatment aim is mainly palliation. In this study our purpose is to analyze the prognostic values of the sarcopenia index (SI), cachexia index (CIn) and other inflammatory indexes (advanced lung cancer inflammation index [ALI], modified Glasgow Prognostic Score [mGPS], prognostic index [PI], prognostic nutritional index [PNI] and neutrophil-to-lymphocyte ratio [NLR]) in metastatic GC patients.Methods: Data from the files of metastatic GC patients, who applied to Medical Oncology outpatient clinic in Marmara University Pendik Education and Research Hospital between January 2011 and June 2016, were retrospectively reviewed. Five hundred seventy patients with gastric cancer were detected. Exclusion criteria were the inability to reach the patient surveys for prognostic index calculations, the presence of additional comorbidities to affect the laboratory parameters, and the absence of metastatic disease. Finally, 87 of these patients were included in this study. For SI calculation L3 level muscle area was measured from patients' computed tomography (CT) by a radiologist. SI reference value was obtained from western-EGWSOP (The European Working Group on Sarcopenia in Older People) and eastern (Harada Y, et al.) sources separately, as Turkey doesn't have a reference value for SI. NLR cutoff value was accepted as the median value of patients' NLR measurements. Statistical analysis was conducted using SPSS. Kaplan-Meier and Cox regression models were used to assess independent prognostic factors. The area under the curve was used to compare the prognostic value of indexes.Results: The median length of follow-up of 87 patients was nine months (1-64 mo,/s), and 78 patients died during follow-up. Fifty-nine patients were male (63%), and the median age was 62 (range, 23-88). According to univariate analysis high mGPS and PI score, PNI level <45, NLR level ≥ 3.41, ALI level <18, CI level under 35, SI (Harada Y, et al) ≤44.5 for males and ≤36.5 for females, ECOG score ≥ 2, weight loss more than 10% during last 6 mo, BMI under 24 were poor prognostic factors. Age, gender, having multiple organ metastasis, history of gastric surgery, positivity C-erb-B2, SI (EGWSOP) ≤52.4 for males, and ≤38.4 for females did not have any impact on survival. According to multivariate analysis, high mGPS (score 2) (HR 2,494, 95% CI 1.25-4 .94, p = 0.02), PNI (score 1) (HR 4.2, 95% CI 1.73-10.1, p < 0.001) and ECOG score (≥2) (HR 1.541, 95% CI 1,089-4,214, p = 0.004) have been found to be independent prognostic factors which are determining the survival. mGPS was found to be more valuable than other indexes for predicting mortality by measuring the AUC with ROC analysis.Conclusions: In our study, mGPS, PNI and ECOG score were independent indicators for shorter survival in metastatic gastric cancer patients. mGPS and PNI, which can be done by using only serum CRP, albumin level and complete blood count, might be inexpensive, practical and beneficial to use in routine clinical practice to determine survival.