comorbidity: An R package for computing comorbidity scores

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چکیده

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منابع مشابه

Comorbidity.

We review recent research on the prevalence, causes, and effects of diagnostic comorbidity among the most common groups of child and adolescent psychiatric disorders; anxiety disorders, depressive disorders, attention deficit hyperactivity disorders, oppositional defiant and conduct disorders, and substance abuse. A meta-analysis of representative general population studies provides estimates o...

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Comorbidity: Psychiatric Comorbidity in Persons With Dementia

The assessment and treatment of psychiatric symptoms in persons with cognitive dysfunction are becoming increasingly important. Prevalence estimates of dementia in the United States range from 5% in those aged 71 to 79 years to 25% to 50% in those 90 or older. Up to 90% of patients with dementia have psychiatric comorbidities.1,2 Physicians who treat patients with dementia must remember that de...

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Comorbidity as a prognostic variable in multiple myeloma: comparative evaluation of common comorbidity scores and use of a novel MM–comorbidity score

Comorbidities have been demonstrated to affect progression-free survival (PFS) and overall survival (OS), although their impact in multiple myeloma (MM) patients is as yet unsettled. We (1) assessed various comorbidities, (2) compared established comorbidity indices (CIs; Charlson comorbidity index (CCI), hematopoietic cell transplantation-specific comorbidity index (HCT-CI)), Kaplan Feinstein ...

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Geriatrics index of comorbidity was the most accurate predictor of death in geriatric hospital among six comorbidity scores.

OBJECTIVES To compare the abilities of six validated comorbidity indices (Charlson index, cumulative illness rating scale [CIRS], index of coexistent diseases, Kaplan scale, geriatrics index of comorbidity [GIC], and chronic disease score) to predict adverse hospitalization outcomes (death during hospitalization, length of stay, and institutionalization). STUDY DESIGN AND SETTING Prospective ...

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Comorbidity indices.

Comorbidities are conditions that coexist with a disease of interest, and may lead to a delayed diagnosis, be confounders in analysis of clinical status and course, and increase morbidity and mortality. Therefore, it appears desirable to summarise efficiently one or multiple comorbidities into a single score in an efficient manner, using comorbidity indices and self-administered comorbidity que...

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ژورنال

عنوان ژورنال: Journal of Open Source Software

سال: 2018

ISSN: 2475-9066

DOI: 10.21105/joss.00648