Perioperative risk factors of progressive chronic kidney disease following liver transplantation: analyses of a 10-year follow-up single-center cohort

Abstract Background There are limited data on Coronavirus Disease 2019 (COVID-19) outcomes at a national level, and none after 60 days of follow up. The aim of this study was to describe national, 60-day all-cause mortality associated with COVID-19, and to identify risk factors associated with admission to an intensive care unit (ICU). Methods This was a retrospective cohort study including the first consecutive 5000 patients with COVID-19 in Qatar who completed 60 days of follow up by June 17, 2020. The primary outcome was all-cause mortality at 60 days after COVID-19 diagnosis. In addition, we explored risk factors for admission to ICU. Results Included patients were diagnosed with COVID-19 between February 28 and April 17, 2020. The majority (4436, 88.7%) were males and the median age was 35 years [interquartile range (IQR) 28–43]. By 60 days after COVID-19 diagnosis, 14 patients (0.28%) had died, 10 (0.2%) were still in hospital, and two (0.04%) were still in ICU. Fatal COVID-19 cases had a median age of 59.5 years (IQR 55.8–68), and were mostly males (13, 92.9%). All included pregnant women (26, 0.5%), children (131, 2.6%), and healthcare workers (135, 2.7%) were alive and not hospitalized at the end of follow up. A total of 1424 patients (28.5%) required hospitalization, out of which 108 (7.6%) were admitted to ICU. Most frequent co-morbidities in hospitalized adults were diabetes (23.2%), and hypertension (20.7%). Multivariable logistic regression showed that older age [adjusted odds ratio (aOR) 1.041, 95% confidence interval (CI) 1.022–1.061 per year increase; P < 0.001], male sex (aOR 4.375, 95% CI 1.964–9.744; P < 0.001), diabetes (aOR 1.698, 95% CI 1.050–2.746; P 0.031), chronic kidney disease (aOR 3.590, 95% CI 1.596–8.079, P 0.002), and higher BMI (aOR 1.067, 95% CI 1.027–1.108 per unit increase; P 0.001), were all independently associated with increased risk of ICU admission. Conclusions In a relatively younger national cohort with a low co-morbidity burden, COVID-19 was associated with low all-cause mortality. Independent risk factors for ICU admission included older age, male sex, higher BMI, and co-existing diabetes or chronic kidney disease.

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The Incidence of Chronic Kidney Disease Three Years after Non-Severe Acute Kidney Injury in Critically Ill Patients: A Single-Center Cohort Study

Journal of Clinical Medicine ◽

10.3390/jcm8122215 ◽

2019 ◽

Vol 8 (12) ◽

pp. 2215 ◽

Cited By ~ 5

Author(s):

Sébastien Rubin ◽

Arthur Orieux ◽

Benjamin Clouzeau ◽

Claire Rigothier ◽

Christian Combe ◽

...

Keyword(s):

Chronic Kidney Disease ◽

Acute Kidney Injury ◽

Kidney Disease ◽

Critically Ill ◽

Critically Ill Patients ◽

Kidney Injury ◽

Single Center ◽

Frequent Event ◽

Incidence Of Ckd

The risk of chronic kidney disease (CKD) following severe acute kidney injury (AKI) in critically ill patients is well documented, but not after less severe AKI. The main objective of this study was to evaluate the long-term incidence of CKD after non-severe AKI in critically ill patients. This prospective single-center observational three-years follow-up study was conducted in the medical intensive care unit in Bordeaux’s hospital (France). From 2013 to 2015, all patients with severe (kidney disease improving global outcomes (KDIGO) stage 3) and non-severe AKI (KDIGO stages 1, 2) were enrolled. Patients with prior eGFR < 90 mL/min/1.73 m2 were excluded. Primary outcome was the three-year incidence of CKD stages 3 to 5 in the non-severe AKI group. We enrolled 232 patients. Non-severe AKI was observed in 112 and severe AKI in 120. In the non-severe AKI group, 71 (63%) were male, age was 62 ± 16 years. The reason for admission was sepsis for 56/112 (50%). Sixty-two (55%) patients died and nine (8%) were lost to follow-up. At the end of the follow-up the incidence of CKD was 22% (9/41); Confidence Interval (CI) 95% (9.3–33.60)% in the non-severe AKI group, tending to be significantly lower than in the severe AKI group (44% (14/30); CI 95% (28.8–64.5)%; p = 0.052). The development of CKD three years after non-severe AKI, despite it being lower than after severe AKI, appears to be a frequent event highlighting the need for prolonged follow-up.

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One-Year Follow-up of the Changes in Renal Function After Liver Transplantation in Patients Without Chronic Kidney Disease

Transplantation Proceedings ◽

10.1016/j.transproceed.2016.02.013 ◽

2016 ◽

Vol 48 (4) ◽

pp. 1190-1193 ◽

Cited By ~ 3

Author(s):

G.W. Kang ◽

I.H. Lee ◽

K.S. Ahn ◽

J.D. Kim ◽

S.G. Kwak ◽

...

Keyword(s):

Chronic Kidney Disease ◽

Liver Transplantation ◽

Renal Function ◽

Kidney Disease ◽

One Year

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Risk factors of hospitalization among chronic kidney disease patients in tertiary care hospitals - A single-center experience

Saudi Journal of Kidney Diseases and Transplantation ◽

10.4103/1319-2442.243973 ◽

2018 ◽

Vol 29 (5) ◽

pp. 1150

Author(s):

Beena Salman ◽

Mehwish Hussain ◽

Kashif Shafique ◽

Salman Imtiaz ◽

MurtazaFakhruddin Dhrolia

Keyword(s):

Risk Factors ◽

Chronic Kidney Disease ◽

Kidney Disease ◽

Tertiary Care ◽

Single Center ◽

Single Center Experience ◽

Tertiary Care Hospitals

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Determinants and Incidence of Chronic Kidney Disease on Tenofovir-Based Antiretroviral Therapy Regimens: A Cohort Study in HIV-Infected Adults in South China

10.21203/rs.3.rs-365588/v1 ◽

2021 ◽

Author(s):

Fang Liu ◽

Hong Liu ◽

Chen Chen ◽

Liang-bin Miao ◽

Zhao-yi Li ◽

...

Keyword(s):

Risk Factors ◽

Chronic Kidney Disease ◽

Viral Load ◽

Kidney Disease ◽

Renal Dysfunction ◽

Multiple Imputation ◽

Estimating Equation ◽

Chinese Cohort ◽

Hiv 1

Abstract Background: To evaluate the incidence and risk factors of stage 3 chronic kidney disease (CKD) and rapid kidney function decline (RKFD) among Chinese HIV-1 infected patients starting with tenofovir (TDF)-based regimen.Methods: We enrolled in 797 TDF-initiated HIV-1-infected patients in a Chinese cohort. Kidney dysfunction were defined as stage 3 CKD (eGFR < 60 mL/min/1.73 m2 during follow-up) and RKFD (eGFR decline > 10 mL/min/1.73 m2/year). A linear mixed-effects model was used to quantify the average eGFR change per 48 weeks. A generalized estimating equation regression analysis was conducted to determine the risk factors associated with renal dysfunction. The method of multiple imputation was used to reduce bias caused by missing data.Results: In this retrospective study, 14 (2%) patients experienced stage 3 CKD, and 272 (34%) individuals experienced RKFD during a median of 26 (IQR, 4-78; maximum 325) weeks follow-up period. The mean loss in eGFR per 48 weeks increased consistently over time, from -2.59 mL/min/1.73 m2 before 48 weeks to -17.61 mL/min/1.73 m2 after 288 weeks. For every 10 mL/min/1.73 m2 increase of eGFR, the risk of RKFD increased by 29% (95%CI: 18%, 40%). Each 10 years older and every 10 mL/min/1.73 m2 higher in baseline eGFR, the risk of stage 3 CKD increased to 1.56 (95% CI: 1.00, 2.43) and decreased by 65% (95% CI: 48%, 76%), respectively. Anemia and higher viral load were significantly associated with RKFD. The results were robust across a range of multiple imputation analysis.Conclusions: TDF-associated CKD is rare in HIV-1 infected Chinese adults. Longer TDF-exposed patients are more likely to have renal dysfunction, especially those with older age, anemia, lower baseline eGFR and higher viral load.

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Scoring model to predict risk of chronic kidney disease in Chinese health screening examinees with type 2 diabetes

International Urology and Nephrology ◽

10.1007/s11255-021-03045-9 ◽

2021 ◽

Author(s):

Xia Cao ◽

Binfang Yang ◽

Jiansong Zhou

Keyword(s):

Risk Factors ◽

Type 2 Diabetes ◽

Chronic Kidney Disease ◽

Kidney Disease ◽

Prediction Model ◽

Scoring System ◽

Health Screening ◽

Validation Set

Abstract Purpose As health screening continues to increase in China, there is an opportunity to integrate a large number of demographic as well as subjective and objective clinical data into risk prediction modeling. The aim of this study was to develop and validate a prediction model for chronic kidney disease (CKD) in Chinese health screening examinees with type 2 diabetes mellitus (T2DM). Methods We conducted a retrospective cohort study consisting of 2051 Chinese T2DM patients between 35 and 78 years old who were enrolled in the XY3CKD Follow-up Program between 2009 and 2010. All participants were randomly assigned into a derivation set or a validation set at a 2:1 ratio. Cox proportional hazards regression model was selected for the analysis of risk factors for the development of the proposed risk model of CKD. We established a prediction model with a scoring system following the steps proposed by the Framingham Heart Study. Results The mean follow-up was 8.52 years, with a total of 315 (23.20%) and 189 (27.27%) incident CKD cases in the derivation set and validation set, respectively. We identified the following risk factors: age, gender, body mass index, duration of type 2 diabetes, variation of fasting blood glucose, stroke, and hypertension. The points were summed to obtain individual scores (from 0 to 15). The areas under the curve of 3-, 5- and 10-year CKD risks were 0.843, 0.799 and 0.780 in the derivation set and 0.871, 0.803 and 0.785 in the validation set, respectively. Conclusions The proposed scoring system is a promising tool for further application of assisting Chinese medical staff for early prevention of T2DM complications among health screening examinees.

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