Literature DB >> 16828679

A user's guide to selecting a comorbidity index for clinical research.

Stephen F Hall1.   

Abstract

You are creating a data abstraction form to assess the case mix, treatments, and treatment outcome for patients with cancer of the larynx at your center. You plan to perform univariate analysis including Kaplan-Meier curves with log-rank tests and multiple variable analysis to account for effect of disease and age on outcome. At your center some patients have radiotherapy, some have chemotherapy in association with radiotherapy, and some have primary surgery. A specific patient's treatment is based on the extent of disease and overall health. Patients with cancer of the larynx frequently have a variety of comorbid illnesses, often related to smoking and alcohol. For example, Mr. J.B. presented to the coronary care unit with his third myocardial infarction and was found to have a new cancer of the larynx. Due to his chronic obstructive pulmonary disease (COPD), diabetes, and past pulmonary embolus, he is not a candidate for either coronary revascularization or laryngectomy. How do you measure the impact of the comorbid illnesses on the decisions and the outcomes?

Entities:  

Mesh:

Year:  2006        PMID: 16828679     DOI: 10.1016/j.jclinepi.2005.11.013

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  42 in total

1.  Charlson comorbidity index helps predict the risk of mortality for patients with type 2 diabetic nephropathy.

Authors:  You-qun Huang; Rong Gou; Yong-shu Diao; Qing-hua Yin; Wen-xing Fan; Ya-ping Liang; Yi Chen; Min Wu; Li Zang; Ling Li; Jing Zang; Lu Cheng; Ping Fu; Fang Liu
Journal:  J Zhejiang Univ Sci B       Date:  2014-01       Impact factor: 3.066

2.  Correlates of loneliness in older persons living with HIV.

Authors:  Moka Yoo-Jeong; Kenneth Hepburn; Marcia Holstad; Regine Haardörfer; Drenna Waldrop-Valverde
Journal:  AIDS Care       Date:  2019-08-28

3.  Development and validation of the mortality risk for trauma comorbidity index.

Authors:  Hilaire J Thompson; Frederick P Rivara; Avery Nathens; Jin Wang; Gregory J Jurkovich; Ellen J Mackenzie
Journal:  Ann Surg       Date:  2010-08       Impact factor: 12.969

4.  Validity of the Medication-based Disease Burden Index compared with the Charlson Comorbidity Index and the Cumulative Illness Rating Scale for geriatrics: a cohort study.

Authors:  Yichayaou Beloosesky; Avraham Weiss; Nariman Mansur
Journal:  Drugs Aging       Date:  2011-12-01       Impact factor: 3.923

5.  Charlson comorbidity score is a strong predictor of mortality in hemodialysis patients.

Authors:  Manoch Rattanasompattikul; Usama Feroze; Miklos Z Molnar; Ramanath Dukkipati; Csaba P Kovesdy; Allen R Nissenson; Keith C Norris; Joel D Kopple; Kamyar Kalantar-Zadeh
Journal:  Int Urol Nephrol       Date:  2011-11-30       Impact factor: 2.370

Review 6.  Hip fractures in a geriatric population - rehabilitation based on patients needs.

Authors:  Natasa Radosavljevic; Dejan Nikolic; Milica Lazovic; Aleksandar Jeremic
Journal:  Aging Dis       Date:  2014-06-01       Impact factor: 6.745

7.  Adult cognitive ability and socioeconomic status as mediators of the effects of childhood disadvantage on salivary cortisol in aging adults.

Authors:  Carol E Franz; Kelly Spoon; Wesley Thompson; Richard L Hauger; Dirk H Hellhammer; Kristen C Jacobson; Sonia Lupien; Michael J Lyons; Jeanne McCaffery; Ruth McKenzie; Sally P Mendoza; Matthew S Panizzon; Ana Ramundo; Afrand Shahroudi; William S Kremen
Journal:  Psychoneuroendocrinology       Date:  2013-05-16       Impact factor: 4.905

8.  Risk factors for potentially inappropriate prescribing to older patients in primary care.

Authors:  Ivana Projovic; Dubravka Vukadinovic; Olivera Milovanovic; Milena Jurisevic; Radisa Pavlovic; Sasa Jacovic; Slobodan Jankovic; Srdjan Stefanovic
Journal:  Eur J Clin Pharmacol       Date:  2015-09-29       Impact factor: 2.953

9.  Sarcopenia is associated with disability status-results from the KORA-Age study.

Authors:  A Phillips; R Strobl; S Vogt; K-H Ladwig; B Thorand; E Grill
Journal:  Osteoporos Int       Date:  2017-04-06       Impact factor: 4.507

10.  Comorbidity, age, race and stage at diagnosis in colorectal cancer: a retrospective, parallel analysis of two health systems.

Authors:  S Yousuf Zafar; Amy P Abernethy; David H Abbott; Steven C Grambow; Jennifer E Marcello; James E Herndon; Krista L Rowe; Jane T Kolimaga; Leah L Zullig; Meenal B Patwardhan; Dawn T Provenzale
Journal:  BMC Cancer       Date:  2008-11-25       Impact factor: 4.430

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