Managing diabetes in hospitalized patients with chronic kidney disease

2016 ◽  
Vol 83 (4) ◽  
pp. 301-310 ◽  
Author(s):  
Shridhar N. Iyer ◽  
Robert J. Tanenberg
2017 ◽  
Vol 7 (8) ◽  
pp. 723-731 ◽  
Author(s):  
Kaoru Ando ◽  
Hiroyasu Sukekawa ◽  
Aoi Takahata ◽  
Yusuke Kobari ◽  
Hayato Tsuchiya ◽  
...  

Background: Left ventricular dysfunction as part of takotsubo syndrome is reversible, and the long-term prognosis appears favorable. However, life-threatening complications are not uncommon during the acute phase, and it remains unclear whether renal dysfunction is a factor in complications suffered by hospitalized patients with takotsubo syndrome. The present study was conducted to investigate the implications of renal dysfunction in this setting. Methods: Data from 61 consecutive patients (male, 21; female, 40) diagnosed with takotsubo syndrome at our hospital between years 2010 and 2016 were evaluated retrospectively. In-hospital complications by definition were all-cause deaths and severe pump failure (Killip class ≥III). Results: Overall, 30 patients (49%) developed renal dysfunction. In the 32 patients (52%) who suffered in-hospital complications (mortality, 10; severe pump failure, 22), estimated glomerular filtration rate (eGFR) was significantly lower by comparison (51.3±29.8 vs. 69.5±29.0; p=0.019). Low eGFR (<30 ml/min per 1.73m2) proved independently predictive of in-hospital complications (hazard ratio =2.84, 95% confidence interval: 1.20–6.69) in multivariate Cox hazard analysis, also showing a significant association with peak event rate of Kaplan–Meier curve (log-rank test, p=0.0073). Similarly, patients with chronic kidney disease were at significantly greater risk of in-hospital complications (hazard ratio=2.49, 95% confidence interval: 1.01–5.98), relative to non-compromised counterparts (eGFR >60 ml/min per 1.73m2). Conclusion: Renal dysfunction is a simple but useful means of predicting complications in hospitalized patients with takotsubo syndrome, especially those with chronic kidney disease.


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.


2018 ◽  
Vol 48 (10) ◽  
pp. e12999
Author(s):  
Tobias Breidthardt ◽  
Cedric Jaeger ◽  
Andreas Christ ◽  
Theresia Klima ◽  
Tamina Mosimann ◽  
...  

2016 ◽  
Vol 31 (suppl_1) ◽  
pp. i19-i19
Author(s):  
Silvia Gonzalez Sanchidrian ◽  
Pedro Jesus Labrador Gomez ◽  
Jesus Pedro Marin Alvarez ◽  
Maria Del Carmen Jiménez Herrero ◽  
Elena Davin Carrero ◽  
...  

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