The Clinical Course and Prognostic Factors of COVID-19 in Patients with Chronic Kidney Disease, A Study in Six Centers

2021 ◽  
Vol 15 (4) ◽  
Author(s):  
Sharzad Ossareh ◽  
Neda Najafi ◽  
Roghayeh Akbari ◽  
Zahra Lotfi ◽  
Atieh Makhough ◽  
...  
Author(s):  
Seyede Solmaz Taheri ◽  
Ahmadreza Baghestani ◽  
Farzanehsadat Minoo ◽  
Anahita Saeedi

Introduction: Chronic Kidney Disease (CKD) is a disease in which damaged kidneys could not remove waste material from the blood which could result in other health problems. The aim of this analysis was to identify significant laboratory prognostic factors on death hazard due to CKD. Methods: There were 109 patients with end-stage renal disease (ESRD) treated at Helal pharmaceutical and clinical complex. The survival time was set as the time interval from starting dialysis until death due to CKD. Age, gender and factors such as creatinine, cholesterol, uric acid, SGOT, SGPT, bilirubin, hemoglobin, potassium, ALP, HbA1C, ferritin, calcium, phosphorus, PTH and albumin were employed in this study. Weibull Distribution with non-Constant Shape Parameter versus constant Shape Parameter for the analysis were used. Results: Death due to CKD occurred in 29 (26.6%) of the patients. Sixty-seven (61.5%) had uric acid higher than 6.8 (mg/dl) and 39(35%) had phosphorus higher than 4.7 (mg/dl) which were poor prognoses. The incidence of death was 48.4%. Calcium<8.5 (mg/dl) (p=0.002), Calcium > 9.5 (mg/dl) (p=0.003), Albumin 4-6.3 (g/dl) (p=0.034), Phosphorus (p=0.022), hemoglobin<10 (g/dl) (p=0.043), hemoglobin>12.5 (g/dl) (p=0.006) and iPTH (p<0.001) were significant variables which had an effect on death hazard rates. Conclusion: The Weibull model with Non-Constant shape parameter was suggested to be more accurate for identifying risk factors, leading to more precise results, compared to constant shape parameter. Investigators mostly emphasize on the importance of Calcium, Albumin, Phosphorus, hemoglobin and iPTH for reducing hazard rates in CKD patients.  


2009 ◽  
Vol 24 (5) ◽  
pp. 1047-1053 ◽  
Author(s):  
Sun-Young Ahn ◽  
Stanley Mendoza ◽  
George Kaplan ◽  
Vivian Reznik

Author(s):  
Michael W Fried ◽  
Julie M Crawford ◽  
Andrea R Mospan ◽  
Stephanie E Watkins ◽  
Breda Munoz ◽  
...  

Abstract Background As coronavirus disease 2019 (COVID-19) disseminates throughout the United States, a better understanding of the patient characteristics associated with hospitalization, morbidity, and mortality in diverse geographic regions is essential. Methods Hospital chargemaster data on adult patients with COVID-19 admitted to 245 hospitals across 38 states between 15 February and 20 April 2020 were assessed. The clinical course from admission, through hospitalization, and to discharge or death was analyzed. Results A total of 11 721 patients were included (majority were &gt;60 years of age [59.9%] and male [53.4%]). Comorbidities included hypertension (46.7%), diabetes (27.8%), cardiovascular disease (18.6%), obesity (16.1%), and chronic kidney disease (12.2%). Mechanical ventilation was required by 1967 patients (16.8%). Mortality among hospitalized patients was 21.4% and increased to 70.5% among those on mechanical ventilation. Male sex, older age, obesity, geographic region, and the presence of chronic kidney disease or a preexisting cardiovascular disease were associated with increased odds of mechanical ventilation. All aforementioned risk factors, with the exception of obesity, were associated with increased odds of death (all P values &lt; .001). Many patients received investigational medications for treatment of COVID-19, including 48 patients on remdesivir and 4232 on hydroxychloroquine. Conclusions This large observational cohort describes the clinical course and identifies factors associated with the outcomes of hospitalized patients with COVID-19 across the United States. These data can inform strategies to prioritize prevention and treatment for this disease.


CHEST Journal ◽  
2016 ◽  
Vol 150 (4) ◽  
pp. 728A
Author(s):  
Yun Su Sim ◽  
Tae Rim Shin ◽  
DongGyu Kim

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Ioannis Griveas ◽  
Antonis Schinas ◽  
Anthoula Balitsari ◽  
Gerasimos Asimakopoulos ◽  
Evangelos Pratilas

Abstract Background and Aims Soluble urokinase plasminogen receptor (suPAR) is a protein in the blood that has been described to reflect the severity status of systemic inflammation. At the same time an elevated level of suPAR has been independently associated with incident chronic kidney disease. We investigated the association between admission suPAR levels and severity and outcome of Hemodialysis (HD) patients with Covid-19 infection. Method In an observational study of adult HD patients hospitalized for Covid-19, we measured suPAR levels in plasma samples. The time table for those measurements were as follows: at the beginning of admission, after hemoperfusion (HP) session for those patients that received them, and just before discharge. Results Of the 17 patients (7 were male), 13 patients received HP (mean age: 74 years old). The median suPAR level was 12.94 ng/ml. For those who undertook HP median suPAR level was 10.55 ng/ml at the end of each session (p=NS). 3 patients had suPAR level below 7 ng/ml. 2 of them survived without developing pleural effusions. 7 patients discharged from the hospital with median suPAR level 12.94 ng/ml which did not differ significantly from the median suPAR level of the diceased ones (13.68 ng/ml). Conclusion Admission of suPAR levels in HD patients hospitalized for Covid-19 do not seem to be predictive for their clinical course in general. Chronic Kidney Disease backround and its relation to suPAR levels independently of patients’ inflammation status may be the key component for our notice. Despite that, in patients where low levels of suPAR combined with absence of pleural effusions the prognosis was excellent.


2021 ◽  
Vol 12 ◽  
pp. 204062232110523
Author(s):  
Na Jing ◽  
Mengxing Pan ◽  
Yi Song ◽  
Feng Guo ◽  
Haohao Zhang ◽  
...  

Aim: To evaluate the renal outcomes and prognostic factors among patients with type-2 diabetes (T2D) and biopsy-confirmed diabetic nephropathy (DN), non-diabetic renal disease (NDRD) and DN mixed with NDRD (MIX). Design and Methods: Patients with both T2D and chronic kidney disease (CKD) who underwent renal biopsy between January 2014 and December 2016 were recruited in this prospective observational study. Participants were divided into DN group, NDRD group, or MIX group according to the baseline pathological diagnosis. The primary endpoint was a composite renal event of end-stage renal disease (ESRD) or ⩾ 40% reduction in estimated glomerular filtration rate (eGFR). Results: Among the 292 participants included, 153 (52.4%) belonged to the DN group, 30 (10.3%) belonged to the NDRD group, and 109 (37.3%) belonged to the MIX group. During the median follow-up of 27 months, the adverse renal events occurred in 132 (44.2%) patients. Compared with NDRD group, the multiple adjusted hazard ratios (HRs) for renal events in patients with DN and MIX groups were 3.900 (95% confidence interval [CI]: 1.103–13.788) and 2.691 (95% CI: 0.662–10.936), respectively. Baseline lower eGFR (HR: 1.159, 95% CI: 1.060–1.266), severe proteinuria (HR: 2.047, 95% CI: 1.227–3.416), lower hemoglobin (HR: 1.170, 95% CI: 1.008–1.267), and a family history of diabetes (HR: 1.138, 95% CI: 1.008–2.285) were independent predictors for adverse renal outcomes in patients with DN. Conclusion: In patients with T2D and CKD, pure DN and MIX group displayed a worse renal prognosis than NDRD group. Worse renal function, severe proteinuria, lower hemoglobin, and a family history of diabetes may be associated with adverse renal outcomes in patients with DN.


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