scholarly journals Similar Rates of AKI during the First Two Waves of COVID-19 in Northern Italy: a single-center study

Author(s):  
Gaetano Alfano ◽  
Silvia Giovanella ◽  
Francesco Fontana ◽  
Jovana Milic ◽  
Giulia Ligabue ◽  
...  

Introduction: Two waves of COVID-19 cases have overwhelmed most European countries during 2020. It is unclear if the incidence of acute kidney injury (AKI) has changed during the COVID-19 outbreaks. This study aims to evaluate the differences in incidence, risk factors and outcome of AKI in patients with SARS-CoV-2 infection during the first and second wave of COVID-19. Method: We reviewed the health medical records of 792 consecutive patients with COVID-19 hospitalized at the University Hospital of Modena, Italy, from February 25 to December 14, 2020. Results: AKI was diagnosed in 122 (15.4%) patients. Incidence of AKI remained steady rate during wave-1 (15.9%) and wave-2 (14.7%) (P=0.89). AKI patients were older (P=<0.001) and had a more severe respiratory impairment (PO2/FO2) (P=≤0.001) than their non-AKI counterparts. AKI led to a longer hospital stay (P=0.001), complicated with a higher rate of ICU admission. COVID-19-related AKI was associate with 59.7% of deaths during wave-1 and 70.6% during wave-2. At the end of the period of observation, 24% (wave-1) and 46.7% (wave-2) of survivors were discharged with a not fully recovered kidney function. Risk factors for AKI in patients with COVID-19 were diuretics (HR=5.3; 95%CI, 1.2-23.3; P=0.025) and cardiovascular disease (HR, 2.23; 95%CI, 1.05-5.1; P=0.036). Conclusion: The incidence of AKI (about 15%) remained unchanged during 2020, regardless of the trend of COVID-19. AKI occurred in patients with severe COVID-19 symptoms and was associated with a higher incidence of deaths than non-AKI patients. The risk factors of COVID-19-related AKI were diuretic therapy and cardiovascular disease.

Author(s):  
Alfano Gaetano ◽  
Ferrari Annachiara ◽  
Fontana Francesco ◽  
Mori Giacomo ◽  
Magistroni Riccardo ◽  
...  

AbstractBackgroundAcute kidney injury (AKI) is a recently recognized complication of coronavirus disease-2019 (COVID-19). This study aims to evaluate the incidence, risk factors and case-fatality rate of AKI in patients with documented COVID-19.MethodsWe reviewed the health medical records of 307 consecutive patients hospitalized for symptoms of COVID-19 at the University Hospital of Modena, Italy.ResultsAKI was diagnosed in 69 out of 307 (22.4%) patients. The stages of AKI were stage 1 in 57.9%, stage 2 in 24.6% and stage 3 in 17.3%. Hemodialysis was performed in 7.2% of the subjects. AKI patients had a mean age of 74.7±9.9 years and higher serum levels of the main marker of inflammation and organ involvement (lung, liver, hearth and liver) than non-AKI patients. AKI events were more frequent in subjects with severe lung comprise. Two peaks of AKI events coincided with in-hospital admission and death of the patients. Kidney injury was associate with a higher rate of urinary abnormalities including proteinuria (0.448±0.85 vs 0.18±0.29; P=<0.0001) and hematuria (P=0.032) compared to non-AKI patients. At the end of follow-up, 65.2% of the patients did not recover their renal function after AKI. Risk factors for kidney injury were age, male sex, CKD and non-renal SOFA. Adjusted Cox regression analysis revealed that AKI was independently associated with in-hospital death (hazard ratio [HR]=3.74; CI 95%, 1.34-10.46) compared to non-AKI patients. Groups of patients with AKI stage 2-3 and failure to recover kidney function were associated with the highest risk of in-hospital mortality. Lastly, long-hospitalization was positively associated with a decrease of serum creatinine, likely due to muscle depletion occurred with prolonged bed rest.ConclusionsAKI was a dire consequence of patients with COVID-19. Identification of patients at high-risk for AKI and prevention of kidney injury by avoiding dehydration and nephrotoxic agents is imperative in this vulnerable cohort of patients.


PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251048
Author(s):  
Danilo Candido de Almeida ◽  
Maria do Carmo Pinho Franco ◽  
Davi Rettori Pardo dos Santos ◽  
Marina Colella Santos ◽  
Isabela Soucin Maltoni ◽  
...  

Background COVID-19 is a multisystemic disorder that frequently causes acute kidney injury (AKI). However, the precise clinical and biochemical variables associated with AKI progression in patients with severe COVID-19 remain unclear. Methods We performed a retrospective study on 278 hospitalized patients who were admitted to the ward and intensive care unit (ICU) with COVID-19 between March 2020 and June 2020, at the University Hospital, São Paulo, Brazil. Patients aged ≥ 18 years with COVID-19 confirmed on RT-PCR were included. AKI was defined according to the Kidney Disease Improving Global Outcomes (KDIGO) criteria. We evaluated the incidence of AKI, several clinical variables, medicines used, and outcomes in two sub-groups: COVID-19 patients with AKI (Cov-AKI), and COVID-19 patients without AKI (non-AKI). Univariate and multivariate analyses were performed. Results First, an elevated incidence of AKI (71.2%) was identified, distributed across different stages of the KDIGO criteria. We further observed higher levels of creatinine, C-reactive protein (CRP), leukocytes, neutrophils, monocytes, and neutrophil-to-lymphocyte ratio (NLR) in the Cov-AKI group than in the non-AKI group, at hospital admission. On univariate analysis, Cov-AKI was associated with older age (>62 years), hypertension, CRP, MCV, leucocytes, neutrophils, NLR, combined hydroxychloroquine and azithromycin treatment, use of mechanical ventilation, and vasoactive drugs. Multivariate analysis showed that hypertension and the use of vasoactive drugs were independently associated with a risk of higher AKI in COVID-19 patients. Finally, we preferentially found an altered erythrocyte and leukocyte cellular profile in the Cov-AKI group compared to the non-AKI group, at hospital discharge. Conclusions In our study, the development of AKI in patients with severe COVID-19 was related to inflammatory blood markers and therapy with hydroxychloroquine/azithromycin, with vasopressor requirement and hypertension considered potential risk factors. Thus, attention to the protocol, hypertension, and some blood markers may help assist doctors with decision-making for the management of COVID-19 patients with AKI.


2011 ◽  
Vol 39 (6) ◽  
pp. 1493-1499 ◽  
Author(s):  
Simon Li ◽  
Catherine D. Krawczeski ◽  
Michael Zappitelli ◽  
Prasad Devarajan ◽  
Heather Thiessen-Philbrook ◽  
...  

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Kavelin Rumalla ◽  
Adithi Y Reddy ◽  
Vijay Letchuman ◽  
Paul A Berger ◽  
Manoj K Mittal

Introduction: The prognosis of patients suffering acute ischemic stroke (AIS) is worsened by medical complications that occur during subsequent hospitalization. The incidence, risk factors, and outcomes of gastrointestinal bowel obstruction (GIBO) in AIS have not been previously reported. Methods: We employed the Nationwide Inpatient Sample from 2002 to 2011 to identify all patients admitted with a primary diagnosis of AIS and subsets with and without a secondary diagnosis of GIBO without hernia. Multivariate logistic regression was utilized to analyze predictors of GIBO in AIS patients and the association between GIBO, in-hospital complications, and outcomes. Results: We identified 16,987 patients with GIBO (425 per 100,000) among 3,988,667 AIS hospitalizations and 4.2% of patients of these patients underwent repair surgery for intestinal obstruction. Multivariate predictors of GIBO included: age 55-64 (OR: 1.52, 95% CI: 1.40-1.64), age 65-74 (OR: 1.69, 95% CI: 1.56-1.84), age 75+ (OR: 1.97, 95% CI: 1.81-2.13), black race (OR: 1.42, 95% CI: 1.36-1.49), coagulopathy (OR: 1.39, 95% CI: 1.29-1.50), cancer (OR: 1.59, 95% CI: 1.44-1.75), blood loss anemia (OR: 2.51, 95% CI: 2.22-2.84), fluid/electrolyte disorder (OR: 2.91, 95% CI: 2.81-3.02), weight loss (OR: 3.08, 95% CI: 2.93-3.25), and thrombolytic therapy (OR: 1.30, 95% CI: 1.20-1.42) (all p<0.0001). Patients with GIBO had a greater likelihood of suffering intubation (OR: 1.79, 95% CI: 1.70-1.90), deep vein thrombosis (OR: 1.35, 95% CI: 1.25-1.46), pulmonary embolism (OR: 1.84, 95% CI: 1.53-2.21), sepsis (OR: 2.39, 95% CI: 2.22-2.56), acute kidney injury (OR: 1.85, 95% CI: 1.76-1.95), gastrointestinal hemorrhage (OR: 2.82, 95% CI: 2.63-3.03), and blood transfusions (OR: 2.02, 95% CI: 1.90-2.15) (all p<0.0001). In adjusted analyses, AIS patients with GIBO were 284% and 39% more likely to face moderate to severe disability and in-hospital death, respectively (p<0.0001). GIBO occurrence increased length of stay and total costs by an average of 9.7 days and $22,342 (p<0.0001). Conclusion: Advanced age, black race, and several pre-existing comorbidities increase the likelihood of post-AIS GIBO, which is an independent predictor of in-hospital complications, disability, and mortality.


2018 ◽  
Vol 64 (6) ◽  
pp. 509-517
Author(s):  
Geraldo Bezerra da Silva Junior ◽  
Sérgio Luiz Arruda Parente Filho ◽  
Douglas de Sousa Soares ◽  
Rodrigo da Nóbrega de Alencar ◽  
Tiago Tomaz Teles Peixoto ◽  
...  

SUMMARY OBJECTIVE: HIV-related mortality is still high, especially in developed countries. The aim of this study is to investigate factors associated to death in HIV-infected patients. METHODS: This is a cross-sectional study with all HIV adult patients admitted to a tertiary infectious diseases hospital in Fortaleza, Northeast Brazil, from January 2013 to December 2014. Patients were divided into two groups: survivors and non-survivors. Demo-graphical, clinical and laboratory data were compared and a logistic regression was performed in order to investigate risk factors for death. P values ≤0.05 were considered statistically significant. RESULTS: A total of 200 patients with mean age of 39 years were including in the study, 69.5% males. Fifteen patients (7.5%) died. Non-survivors presented a higher percentage of males (93.3 vs. 67.3%, p = 0.037). Non-survivors presented AKI (73.3 vs. 10.3%, p < 0.001), liver dysfunction (33.3 vs. 11.5, p = 0.031), dyspnea (73.3 vs. 33.0%, p = 0.002) and disorientation (33.3 vs. 12.4%, p = 0.025) more frequently. Non-survivors also had higher levels of urea (73.8 ± 52.7vs. 36.1 ± 29.1 mg/dL, p < 0.001), creatinine (1.98 ± 1.65 vs. 1.05 ± 1.07 mg/dL, p < 0.001), aspartate aminotransferase (130.8 vs. 84.8 U/L, p = 0.03), alanine aminotransferase (115.6 vs. 85.4 U/L, p = 0.045) and lactate dehydrogenase (LDH) (1208 vs. 608 U/L, p = 0.012), as well as lower levels of bicarbonate (18.0 ± 4.7 vs. 21.6 ± 4.6 mEq/L, p = 0.016) and PCO2 (27.8 ± 7.7 vs. 33.0 ± 9.3 mmHg, p = 0.05). In multivariate analysis, disorientation (p = 0.035, OR = 5.523, 95%CI = 1.130 – 26.998), dyspnoea (p = 0.046, OR = 4.064, 95%CI = 1.028 – 16.073), AKI (p < 0.001, OR = 18.045, 95%CI = 4.308 – 75.596) and disseminated histoplasmosis (p = 0.016, OR = 12.696, 95%CI = 1.618 – 99.646) and LDH > 1000 U/L (p = 0.038, OR = 4.854, 95%CI = 1.093 – 21.739) were risk factors for death.]CONCLUSION: AKI and disseminated histoplasmosis (DH) were the main risk factors for death in the studied population. Neurologic and respiratory impairment as well as higher levels of LDH also increased mortality in HIV-infected patients.


2021 ◽  
Author(s):  
Yin-Hong Geng ◽  
Zhe Zhang ◽  
Jun-Jun Zhang ◽  
Bo Huang ◽  
Zui-Shuang Guo ◽  
...  

Abstract Objective. To construct a novel nomogram model that predicts the risk of hyperuricemia incidence in IgA nephropathy (IgAN) . Methods. Demographic and clinicopathological characteristics of 1184 IgAN patients in the First Affiliated Hospital of Zhengzhou University Hospital were collected. Univariate analysis and multivariate logistic regression were used to screen out hyperuricemia risk factors. The risk factors were used to establish a predictive nomogram model. The performance of the nomogram model was evaluated using an area under the receiver operating characteristic curve (AUC), calibration plots, and a decision curve analysis. Results. Independent predictors for hyperuricemia incidence risk included sex, hypoalbuminemia, hypertriglyceridemia, blood urea nitrogen (BUN), estimated glomerular filtration rate (eGFR), 24-hour urinaryprotein (24h TP), Gross and tubular atrophy/interstitial fibrosis (T). The nomogram model exhibited moderate prediction ability with an AUC of 0.834 ((95% CI 0.804–0.864)). The AUC from validation reached 0.787 (95% CI 0.736-0.839). The decision curve analysis displayed that the hyperuricemia risk nomogram was clinically applicable.Conclusion. Our novel and simple nomogram containing 8 factors may be useful in predicting hyperuricemia incidence risk in IgAN.


2016 ◽  
Vol 20 (9) ◽  
pp. 526-529 ◽  
Author(s):  
Sheetal Gupta ◽  
Ghanshyam Sengar ◽  
Praveen K. Meti ◽  
Anil Lahoti ◽  
Mukesh Beniwal ◽  
...  

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