2020
DOI: 10.2147/clep.s241610
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<p>Comparing the Performance of Charlson and Elixhauser Comorbidity Indices to Predict In-Hospital Mortality Among a Chinese Population</p>

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Cited by 41 publications
(29 citation statements)
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“…Family history of premature or low birth weight newborns and newborn gender were also included. Since the prevalence of each of the following maternal comorbidities was all less than 1%, we created a dichotomous variable for selected maternal comorbidity, with one indicating that the mother has at least one of the following comorbidities: diabetes, thyroid disease, hepatitis, hypertension, heart disease, renal disease, epilepsy, asthma, depression, anxiety, or others [ 28 , 29 ]. Anemia and colporrhagia were included as separate comorbidities since they have higher prevalence (more than 10%).…”
Section: Methodsmentioning
confidence: 99%
“…Family history of premature or low birth weight newborns and newborn gender were also included. Since the prevalence of each of the following maternal comorbidities was all less than 1%, we created a dichotomous variable for selected maternal comorbidity, with one indicating that the mother has at least one of the following comorbidities: diabetes, thyroid disease, hepatitis, hypertension, heart disease, renal disease, epilepsy, asthma, depression, anxiety, or others [ 28 , 29 ]. Anemia and colporrhagia were included as separate comorbidities since they have higher prevalence (more than 10%).…”
Section: Methodsmentioning
confidence: 99%
“…[20,21]. According to the comorbidity character of our sample, we use Elixhauser Comorbidity Index (contains 31 types of comorbidities) to assess comorbidity, which has been demonstrated to be a more comprehensive and better predictive tool for outcomes of people with cancer [22], and for large Chinese electronic medical record databases [23].…”
Section: Measurementsmentioning
confidence: 99%
“…The 95% CIs were constructed using 1,000 bootstrap replicates with replacement for each model. [28,29] In all statistical analyses, a P value ≤0.05 was considered statistically signi cant. All data cleaning, aggregation, and visualization, and statistical analyses were done using statistical computing environment R (version 4.0.5) [30].…”
Section: Counterfactual Analyses On the Burden Of Alri Attributable To Air Pollutionmentioning
confidence: 99%