Vancomycin Trough and Acute Kidney Injury: A Large Retrospective, Cohort Study

2016 ◽  
Vol 44 (6) ◽  
pp. 456-461 ◽  
Author(s):  
Kassem Hammoud ◽  
Michael Brimacombe ◽  
Alan Yu ◽  
Neil Goodloe ◽  
Wael Haidar ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Cohort Study ◽  
Reference Group ◽  
Kidney Injury ◽  
Logistic Regression Models ◽  
Vancomycin Trough ◽  
Observational Cohort ◽  
Baseline Characteristics ◽  
Retrospective Observational Cohort Study

Background: The association between vancomycin trough (VT) and acute kidney injury (AKI) at the recommended doses remains controversial. Methods: The authors conducted a retrospective, observational cohort study of 500 adult patients who received vancomycin for ≥72 h. Data collected included 2 main predictors: average VT (including only VTs before the occurrence of AKI), first VT and other possible risk factors for AKI. The baseline characteristics/variables between patients with AKI and patients with no AKI were compared. Logistic regression models were used to develop multivariate models. The authors divided the patients into 4 subgroups: (1) VT <10, (2) 10 ≤ VT < 15, (3) 15 ≤ VT < 20 and (4) VT ≥20 µg/ml. All subgroups were compared to subgroup 2 (reference group). Results: AKI occurred in 12.85% of patients while on vancomycin. The incidence of AKI in subgroups 1-4 was 8.02, 13.61, 13.70 and 31.82%, respectively, using the first VT, that is significantly higher in subgroup 4. Using average VT, AKI incidence was 5, 10.38, 19.01 and 25.58%, respectively, that is significantly higher in subgroups 3 and 4. On multivariate logistic regression, average VT, first VT, average VT >15, first VT >15, methicillin-resistant Staphylococcus aureus infection and morbid obesity were significantly associated with increased incidence of AKI. Conclusion: Clinicians should be careful when aiming for a VT >15 μg/ml as this is associated with increased incidence of AKI.

Hyperchloremia and acute kidney injury: a retrospective observational cohort study on a general mixed medical-surgical not ICU-hospitalized population

2019 ◽  
Vol 15 (2) ◽  
pp. 273-280 ◽  
Author(s):  
Gianmarco Lombardi ◽  
Pietro Manuel Ferraro ◽  
Matteo Bargagli ◽  
Alessandro Naticchia ◽  
Silvia D’Alonzo ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Cohort Study ◽  
Kidney Injury ◽  
Observational Cohort Study ◽  
Observational Cohort ◽  
Retrospective Observational Cohort Study

scholarly journals Geospatial Distribution and Predictors of Mortality in Hospitalized Patients With COVID-19: A Cohort Study

2020 ◽  
Vol 7 (10) ◽  
Author(s):  
◽  
S K Mallipattu ◽  
R Jawa ◽  
R Moffitt ◽  
J Hajagos ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Cohort Study ◽  
Length Of Stay ◽  
Regression Models ◽  
Kidney Injury ◽  
Hospital Length ◽  
Hospitalized Patients ◽  
Hospital Length Of Stay ◽  
Logistic Regression Models

Abstract Background The global coronavirus disease 2019 (COVID-19) pandemic offers the opportunity to assess how hospitals manage the care of hospitalized patients with varying demographics and clinical presentations. The goal of this study was to demonstrate the impact of densely populated residential areas on hospitalization and to identify predictors of length of stay and mortality in hospitalized patients with COVID-19 in one of the hardest hit counties internationally. Methods This was a single-center cohort study of 1325 sequentially hospitalized patients with COVID-19 in New York between March 2, 2020, to May 11, 2020. Geospatial distribution of study patients’ residences relative to population density in the region were mapped, and data analysis included hospital length of stay, need and duration of invasive mechanical ventilation (IMV), and mortality. Logistic regression models were constructed to predict discharge dispositions in the remaining active study patients. Results The median age of the study cohort (interquartile range [IQR]) was 62 (49–75) years, and more than half were male (57%) with history of hypertension (60%), obesity (41%), and diabetes (42%). Geographic residence of the study patients was disproportionately associated with areas of higher population density (rs = 0.235; P = .004), with noted “hot spots” in the region. Study patients were predominantly hypertensive (MAP &gt; 90 mmHg; 670, 51%) on presentation with lymphopenia (590, 55%), hyponatremia (411, 31%), and kidney dysfunction (estimated glomerular filtration rate &lt; 60 mL/min/1.73 m2; 381, 29%). Of the patients with a disposition (1188/1325), 15% (182/1188) required IMV and 21% (250/1188) developed acute kidney injury. In patients on IMV, the median (IQR) hospital length of stay in survivors (22 [16.5–29.5] days) was significantly longer than that of nonsurvivors (15 [10–23.75] days), but this was not due to prolonged time on the ventilator. The overall mortality in all hospitalized patients was 15%, and in patients receiving IMV it was 48%, which is predicted to minimally rise from 48% to 49% based on logistic regression models constructed to project disposition in the remaining patients on ventilators. Acute kidney injury during hospitalization (odds ratioE, 3.23) was the strongest predictor of mortality in patients requiring IMV. Conclusions This is the first study to collectively utilize the demographics, clinical characteristics, and hospital course of COVID-19 patients to identify predictors of poor outcomes that can be used for resource allocation in future waves of the pandemic.

scholarly journals Serum potassium disorders predict subsequent kidney injury: a retrospective observational cohort study of hospitalized patients

2022 ◽  
Author(s):  
Gianmarco Lombardi ◽  
Giovanni Gambaro ◽  
Pietro Manuel Ferraro
Keyword(s):  
Cohort Study ◽  
Serum Potassium ◽  
Hospital Admissions ◽  
Kidney Injury ◽  
Observational Cohort Study ◽  
Hospitalized Patients ◽  
P Value ◽  
Significant Difference ◽  
Observational Cohort ◽  
Retrospective Observational Cohort Study

Introduction Electrolytes disorders are common findings in kidney diseases and might represent a useful biomarker preceding kidney injury. Serum potassium [K+] imbalance is still poorly investigated for association with acute kidney injury (AKI) and most evidence come from intensive care units (ICU). The aim of our study was to comprehensively investigate this association in a large, unselected cohort of hospitalized patients. Methods: We performed a retrospective observational cohort study on the inpatient population admitted to Fondazione Policlinico Universitario A. Gemelli IRCCS between January 1, 2010 and December 31, 2014 with inclusion of adult patients with at least 2 [K+] and 3 serum creatinine (sCr) measurements who did not develop AKI during an initial 10-day window. The outcome of interest was in-hospital AKI. The exposures of interest were [K+] fluctuations and hypo (HoK) and hyperkalemia (HerK). [K+] variability was evaluated using the coefficient of variation (CV). Cox proportional hazards regression models were used to obtain hazard ratios (HRs) and 95% confidence intervals (CIs) of the association between the exposures of interest and development of AKI. Results: 21,830 hospital admissions from 18,836 patients were included in our study. During a median follow-up of 5 (interquartile range [IQR] 7) days, AKI was observed in 555 hospital admissions (2.9%); median time for AKI development was 5 (IQR 7) days. Higher [K+] variability was independently associated with increased risk of AKI with a statistically significant linear trend across groups (p-value = 0.012). A significantly higher incidence of AKI was documented in patients with HerK compared with normokalemia. No statistically significant difference was observed between HoK and HerK (p-value = 0.92). Conclusion: [K+] abnormalities including fluctuations even within the normal range are associated with development of AKI.

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