A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation

Charlson, Mary E.; Pompei, Peter; Aleš, Kathy L.; MacKenzie, C. Ronald

doi:10.1016/0021-9681(87)90171-8

Cited by 41,626 publications

(29,600 citation statements)

References 9 publications

Supporting

123

Mentioning

27,954

Contrasting

Unclassified

566

Order By: Relevance

“…In May 2016, NPCR was linked to the Prescribed Drug Registry, the Patient Registry, the Cause of Death Register, the Longitudinal database on socioeconomic factors (acronym in Swedish LISA) and the Register of Total Population and Population changes to generate Prostate Cancer data Base Sweden (PCBaSe) RAPID. As previously described, Charlson Comorbidity Index (CCI) was calculated based on discharge diagnoses in the Patient Registry by use of 17 groups of diseases with each diagnosis assigned a specific weight (1, 2, 3 and 6) and the sum of these weights resulted in three levels of CCI: 0 for no comorbidity, 1–2 for mild to moderate, and 3+ for severe comorbidity 12, 13…”

Section: Methodsmentioning

confidence: 99%

Socioeconomic status and diagnosis, treatment, and mortality in men with prostate cancer. Nationwide population‐based study

Tomic

Ventimiglia

Robinson

et al. 2018

Intl Journal of Cancer

View full text Add to dashboard Cite

Patients with high socioeconomic status (SES) have better cancer outcomes than patients with low SES. This has also been shown in Sweden, a country with tax‐financed health care aiming to provide care on equal terms to all residents. The association between income and educational level and diagnostics and treatment as outlined in national guidelines and prostate cancer (Pca) and all‐cause mortality was assessed in 74,643 men by use of data in the National Prostate Cancer Register of Sweden and a number of other health care registers and demographic databases. In multivariable logistic regression analysis, men with high income had higher probability of Pca detected in a health‐check‐up, top versus bottom income quartile, odds ratio (OR) 1.60 (95% CI 1.45–1.77) and lower probability of waiting more than 3 months for prostatectomy, OR 0.77 (0.69–0.86). Men with the highest incomes also had higher probability of curative treatment for intermediate and high‐risk cancer, OR 1.77 (1.61–1.95) and lower risk of positive margins, (incomplete resection) at prostatectomy, OR 0.80 (0.71–0.90). Similar, but weaker associations were observed for educational level. At 6 years of follow‐up, Pca mortality was modestly lower for men with high income, which was statistically significant for localized high‐risk and metastatic Pca in men with no comorbidities. All‐cause mortality was less than half in top versus bottom quartile of income (12% vs. 30%, p < 0.001) among men above age 65. Our findings underscore the importance of adherence to guidelines to ensure optimal and equal care for all patients diagnosed with cancer.

show abstract

Section: Methodsmentioning

confidence: 99%

Socioeconomic status and diagnosis, treatment, and mortality in men with prostate cancer. Nationwide population‐based study

Tomic

Ventimiglia

Robinson

et al. 2018

Intl Journal of Cancer

View full text Add to dashboard Cite

show abstract

“…Lung function, BMI and comorbidities (Charlson Comorbidity Index [28]) were defined as the means of measurements during the observation period. The age at the time of the greatest blood eosinophil count was identified to display age distributions linked to eosinophilic asthma onset.…”

Section: Methodsmentioning

confidence: 99%

Health care resource utilization and characteristics of patients with eosinophilic asthma in secondary health care in Finland

Mäkelä

Christensen

Karlsson

et al. 2018

European Clinical Respiratory Journal

View full text Add to dashboard Cite

Background: Eosinophilic airway inflammation is common in asthma patients and appears to be associated with severe exacerbations and loss of asthma control. Objective: To describe the resource utilization and clinical characteristics of patients with eosinophilic asthma. Design: Asthma patients ≥18 years with ≥1 blood eosinophil count in secondary care (South West Finland) during 2003‒2013 were included. Clinical characteristics (age, lung function, body mass index, and comorbidities) and asthma-related resource utilization (hospital admissions, outpatient visits, and emergency room [ER] visits) were retrieved. Resource utilization rates were compared for patients with blood eosinophil ≤ or >300 cells/μL, using adjusted negative binomial regression models. Results: Overall, 4,357 eligible patients were identified (mean age 60 years, females 68%), of which 1,927 (44%) had >300 eosinophil cells/μL blood. Patients with ≤300 and >300 eosinophil counts, exhibited similar clinical characteristics, including advanced age, poor lung function, and overweight. Comorbidities such as pneumonia, sinusitis, and nasal polyps, were more frequent among those with >300 eosinophil cells/μL blood compared with patients with lower counts. Eosinophil counts >300 cells/μL were associated with greater hospital admissions (rate ratio [RR] [95% confidence interval CI]: 1.13 [1.02;1.24]) and outpatient visits (RR [95% CI]: 1.11 [1.03;1.20]) compared with patients with lower eosinophil counts. Rates of ER visits were similar between the patient groups (RR [95% CI]: 0.99 [0.87;1.12]). Conclusions: Hospital admissions and outpatient visits occurred more often for patients with eosinophil counts >300 cells/µL, than for patients with lower eosinophil counts. Routine blood eosinophil screening might be useful to identify patients with an eosinophilic phenotype eligible for more targeted treatments.

show abstract

“…Comorbidity status was evaluated by calculating a Charlson Comorbidity Index (CCI) score for each patient. The CCI is an objective composite measure of physical health status commonly used in studies of medical claims and chronic disease, principally to predict 10‐year mortality of patients with a variety of comorbid conditions 7, 8. We also summarized information about use of relevant prescription drugs such as antiplatelet agents (with the exception of aspirin, which is an over‐the‐counter medication) and anticoagulants (warfarin, dabigatran, rivaroxaban, apixaban) during the 12 months prior to device replacement.…”

Section: Methodsmentioning

confidence: 99%

Incidence and Costs Related to Lead Damage Occurring Within the First Year After a Cardiac Implantable Electronic Device Replacement Procedure

Nichols

Vose

Mittal

2016

JAHA

View full text Add to dashboard Cite

BackgroundInadvertent damage to leads for transvenous pacemakers, implantable cardioverter‐defibrillators, and cardiac resynchronization therapy defibrillators is an important complication associated with generator‐replacement procedures. We sought to estimate the incidence and costs associated with transvenous lead damage following cardiac implantable electronic device replacement.Methods and ResultsUsing the Truven Health Analytics MarketScan Commercial Research Database, we identified health care claims between 2009 and 2013 for lead damage following generator replacement. Patients were identified by claims with a procedure code for cardiac implantable electronic device replacement and then evaluated for 1 year. All follow‐up visits for lead damage were identified, and incidence, risk factors, and hospitalization costs were determined. A total of 22 557 patients with pacemakers, 20 632 with implantable cardioverter‐defibrillators, and 2063 with cardiac resynchronization therapy defibrillators met selection criteria. Incidence of lead damage was 0.46% for pacemaker replacement, 1.27% for implantable cardioverter‐defibrillator replacement, and 1.94% for cardiac resynchronization therapy defibrillator replacement procedures (P<0.001). After adjusting for patient characteristics, patients with implantable cardioverter‐defibrillators and cardiac resynchronization therapy defibrillators demonstrated risk of lead damage that was, respectively, double (hazard ratio 2.00, 95% CI 1.57–2.55) and >2.5 times (hazard ratio 2.58, 95% CI 1.73–3.83) that of patients with pacemakers. Lead revision or repair procedures were associated with increased inpatient hospitalization costs (mean $19 959 for pacemaker, $24 885 for implantable cardioverter‐defibrillator, and $46 229 for cardiac resynchronization therapy defibrillator; P=0.048, Kruskal–Wallis test).ConclusionsThese findings establish the first objective assessment of the incidence, risk factors, and economic burden of lead damage following cardiac implantable electronic device replacement in the United States. New care algorithms are warranted to avoid these events, which impose substantial burdens on patients, physicians, and payors.

show abstract

A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation

Cited by 41,626 publications

References 9 publications

Socioeconomic status and diagnosis, treatment, and mortality in men with prostate cancer. Nationwide population‐based study

Socioeconomic status and diagnosis, treatment, and mortality in men with prostate cancer. Nationwide population‐based study

Health care resource utilization and characteristics of patients with eosinophilic asthma in secondary health care in Finland

Incidence and Costs Related to Lead Damage Occurring Within the First Year After a Cardiac Implantable Electronic Device Replacement Procedure

Contact Info

Product

Resources

About