2016
DOI: 10.1016/j.jamcollsurg.2016.06.123
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Polypharmacy-Comorbidity Score is an Independent Predictor of Hospital Mortality and Readmissions for Medical-Surgical Patients Across All Age Groups

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Cited by 2 publications
(3 citation statements)
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“…[ 76 77 117 ] It is broadly understood that patient frailty, representing a conglomerate of “physiological age” and “chronological age,” is among the key outcome determinants. [ 238 239 240 241 242 243 ] Although COVID-19 tends to be less severe in younger populations, no age group is truly spared, and mortality among the younger patients may be related with symptomatic severity of the infection and comorbid conditions (e.g., morbid obesity, asthma, insulin-dependent diabetes, and malignancy). [ 244 ] In face of a rapidly evolving pandemic, the simpler and easier it is to implement a risk stratification protocol for comorbidity-related risk, the better the ability to quickly and accurately triage patients.…”
Section: P Atient F Railty P mentioning
confidence: 99%
“…[ 76 77 117 ] It is broadly understood that patient frailty, representing a conglomerate of “physiological age” and “chronological age,” is among the key outcome determinants. [ 238 239 240 241 242 243 ] Although COVID-19 tends to be less severe in younger populations, no age group is truly spared, and mortality among the younger patients may be related with symptomatic severity of the infection and comorbid conditions (e.g., morbid obesity, asthma, insulin-dependent diabetes, and malignancy). [ 244 ] In face of a rapidly evolving pandemic, the simpler and easier it is to implement a risk stratification protocol for comorbidity-related risk, the better the ability to quickly and accurately triage patients.…”
Section: P Atient F Railty P mentioning
confidence: 99%
“…The random effect was also assumed to follow a normal distribution and the standard deviation of the random effects is given a normal prior distribution between 0 and 1. We defined the prior on the scales of the coefficients as shown in Eqs [14][15][16][17][18][19][20].…”
Section: Plos Digital Healthmentioning
confidence: 99%
“…Large-scale clinical trials of polypharmacy are difficult to carry out and it has not previously been characterized in a population-wide setting with respect to dosage-adjustments, which is of obvious importance to expected DDIs and ADRs. Instead, polypharmacy has typically been addressed in the elderly or in selected phenotypes with reference to surrogate measures like the medication burden index [11][12][13] and the comorbidity-polypharmacy score [14,15], which are useful, but do ignore many aspects of drug treatment contexts [11]. Another common approach is to assess polypharmacy by means of standard evaluation of potential pharmacokinetic inhibitors and inductors in relation to a known DDI.…”
Section: Introductionmentioning
confidence: 99%