Visual impairment as an independent risk factor for falls in hospitalized patients

2017 ◽  
Vol 52 (6) ◽  
pp. 559-563 ◽  
Author(s):  
Toshimitsu Kasuga ◽  
Fumiko Aruga ◽  
Koichi Ono ◽  
Yoshimune Hiratsuka ◽  
Akira Murakami
Keyword(s):  
Risk Factor ◽  
Visual Impairment ◽  
Independent Risk Factor ◽  
Hospitalized Patients

scholarly journals Elevation of blood glucose level predicts worse outcomes in hospitalized patients with COVID-19: a retrospective cohort study

2020 ◽  
Vol 8 (1) ◽  
pp. e001476 ◽  
Author(s):  
Jianfeng Wu ◽  
Jianqiang Huang ◽  
Guochao Zhu ◽  
Qiongya Wang ◽  
Qingquan Lv ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Risk Factor ◽  
Blood Glucose ◽  
Hospital Mortality ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Independent Risk Factor ◽  
Cox Regression ◽  
Hospitalized Patients ◽  
Medical Resources

IntroductionWith intense deficiency of medical resources during COVID-19 pandemic, risk stratification is of strategic importance. Blood glucose level is an important risk factor for the prognosis of infection and critically ill patients. We aimed to investigate the prognostic value of blood glucose level in patients with COVID-19.Research design and methodsWe collected clinical and survival information of 2041 consecutive hospitalized patients with COVID-19 from two medical centers in Wuhan. Patients without available blood glucose level were excluded. We performed multivariable Cox regression to calculate HRs of blood glucose-associated indexes for the risk of progression to critical cases/mortality among non-critical cases, as well as in-hospital mortality in critical cases. Sensitivity analysis were conducted in patient without diabetes.ResultsElevation of admission blood glucose level was an independent risk factor for progression to critical cases/death among non-critical cases (HR=1.30, 95% CI 1.03 to 1.63, p=0.026). Elevation of initial blood glucose level of critical diagnosis was an independent risk factor for in-hospital mortality in critical cases (HR=1.84, 95% CI 1.14 to 2.98, p=0.013). Higher median glucose level during hospital stay or after critical diagnosis (≥6.1 mmol/L) was independently associated with increased risks of progression to critical cases/death among non-critical cases, as well as in-hospital mortality in critical cases. Above results were consistent in the sensitivity analysis in patients without diabetes.ConclusionsElevation of blood glucose level predicted worse outcomes in hospitalized patients with COVID-19. Our findings may provide a simple and practical way to risk stratify COVID-19 inpatients for hierarchical management, particularly where medical resources are in severe shortage during the pandemic.

scholarly journals Hypophosphatemia is an independent risk factor for AKI among hospitalized patients with COVID-19 infection

Renal Failure ◽  
2021 ◽  
Vol 43 (1) ◽  
pp. 1329-1337
Author(s):  
Zijin Chen ◽  
Chenni Gao ◽  
Haijin Yu ◽  
Lin Lu ◽  
Jialin Liu ◽  
...  
Keyword(s):  
Risk Factor ◽  
Independent Risk Factor ◽  
Hospitalized Patients

Elevated admission serum calcium phosphate product as an independent risk factor for acute kidney injury in hospitalized patients

2019 ◽  
Vol 47 (2) ◽  
pp. 73-79 ◽  
Author(s):  
Charat Thongprayoon ◽  
Wisit Cheungpasitporn ◽  
Michael A. Mao ◽  
Andrew M. Harrison ◽  
Stephen B. Erickson
Keyword(s):  
Acute Kidney Injury ◽  
Risk Factor ◽  
Calcium Phosphate ◽  
Serum Calcium ◽  
Independent Risk Factor ◽  
Kidney Injury ◽  
Hospitalized Patients ◽  
Phosphate Product

scholarly journals Iron deficiency, fatigue and muscle strength and function in older hospitalized patients

2020 ◽  
Author(s):  
Sophia Neidlein ◽  
Rainer Wirth ◽  
Maryam Pourhassan
Keyword(s):  
Risk Factor ◽  
Iron Deficiency ◽  
Barthel Index ◽  
Independent Risk Factor ◽  
Iron Supplementation ◽  
Handgrip Strength ◽  
Knee Extension ◽  
Hospitalized Patients ◽  
Knee Extension Strength ◽  
Prospective Longitudinal

Abstract Background/Objectives Iron deficiency is common in older patients. We investigated whether iron deficiency is an independent risk factor for functional impairment, low muscle function, fatigue, and rehabilitation progress in older hospitalized patients. Subjects/Methods Two hundred twenty-four patients (age range 65–95 years; 67% females) who were consecutively admitted to a geriatric acute care ward participated in this prospective longitudinal observational study. Ferritin, iron, transferrin in serum, and blood hemoglobin were measured and current iron supplementation was recorded. Fatigue and comorbidity were measured using the fatigue severity scale and Charlson Comorbidity Index, respectively. Barthel Index, handgrip strength, and isometric knee extension strength were conducted at the time of hospital admission and before discharge. Results Ninety-one (41%) patients had iron deficiency in which the majority had functional iron deficiency (78/91, 86%). Absolute iron deficiency with and without anemia was diagnosed in 12 (13%) and one patients, respectively. Barthel Index and handgrip and knee extension strength significantly improved during hospitalization in iron deficiency and non-iron deficiency groups. Knee extension strength showed better improvement in iron-deficient patients receiving iron supplementation and iron supplementation during hospital stay was the main predictor for improvement in knee extension strength. Comorbidity, iron deficiency, and changes in handgrip strength were the major independent risk factors for poor improvement in Barthel Index during hospitalization. There were significant associations between patients’ fatigue and iron deficiency, comorbidity, and female gender. Conclusion Iron deficiency is an independent risk factor for fatigue and poor functional recovery among older hospitalized patients. Iron supplementation seems to be capable of improving functional performance.

scholarly journals Severe Obesity as an Independent Risk Factor for COVID‐19 Mortality in Hospitalized Patients Younger than 50

Obesity ◽  
2020 ◽  
Vol 28 (9) ◽  
pp. 1595-1599 ◽  
Author(s):  
Eyal Klang ◽  
Gassan Kassim ◽  
Shelly Soffer ◽  
Robert Freeman ◽  
Matthew A. Levin ◽  
...  
Keyword(s):  
Risk Factor ◽  
Independent Risk Factor ◽  
Severe Obesity ◽  
Hospitalized Patients

scholarly journals Age-adjusted Charlson comorbidity index score is the best predictor for severe clinical outcome in the hospitalized patients with COVID-19 infection: a result from nationwide database of 5,621 Korean patients

2020 ◽  
Author(s):  
Do Hyoung Kim ◽  
Hayne Cho Park ◽  
Ajin Cho ◽  
Juhee Kim ◽  
Kyu-sang Yun ◽  
...  
Keyword(s):  
Risk Factor ◽  
Clinical Outcome ◽  
Charlson Comorbidity Index ◽  
Independent Risk Factor ◽  
Hospitalized Patients ◽  
Index Score ◽  
Secondary Outcome ◽  
Charlson Comorbidity Index Score ◽  
High Risk Population ◽  
Comorbidity Index

ABSTRACTAged population with comorbidities demonstrated high mortality rate and severe clinical outcome in the patients with coronavirus disease 2019 (COVID-19). However, whether age-adjusted Charlson comorbidity index score (CCIS) predict fatal outcomes remains uncertain. This retrospective, nationwide cohort study was performed to evaluate patient mortality and clinical outcome according to CCIS among the hospitalized patients with COVID-19 infection. We included 5,621 patients who had been discharged from isolation or had died from COVID-19 by April 30, 2020. The primary outcome was composites of death, admission to intensive care unit (ICU), use of mechanical ventilator or extracorporeal membrane oxygenation. The secondary outcome was mortality. Multivariate Cox proportional hazard model was used to evaluate CCIS as the independent risk factor for death. Among 5,621 patients, the high CCIS (≥3) group showed higher proportion of elderly population and lower plasma hemoglobin and lower lymphocyte and platelet counts. The high CCIS group was an independent risk factor for composite outcome (HR 3.63, 95% CI 2.45-5.37, P < 0.001) and patient mortality (HR 22.96, 95% CI 7.20-73.24, P < 0.001). The nomogram demonstrated that the CCIS was the most potent predictive factor for patient mortality. The predictive nomogram using CCIS for the hospitalized patients with COVID-19 may help clinicians to triage the high-risk population and to concentrate limited resources to manage them.

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