Current Trends in Comorbidity Prevalence and Associated Mortality in a Population-Based Cohort of Hip Fracture Patients in Denmark.

Background and Purpose: Patients with hip fractures often have comorbidities, but detailed data on comorbidity and its impact on prognosis are lacking. We described the current trends in the prevalence of comorbidity and the magnitude of the associated mortality. Patients and Methods: From the Danish Multidisciplinary Hip Fracture Registry we included 31,443 hip fracture patients (diagnosed in 2014-2018). We calculated the prevalence of individual diseases and comorbidity measured with the Charlson Comorbidity Index (CCI), the Elixhauser Index, and the Rx-Risk Index. We calculated sex and age-adjusted odds ratios (aORs) for 30-day mortality and hazard ratios (aHRS) for one-year mortality with 95% confidence intervals (CI). Results: The most common diseases identified with the CCI were cerebrovascular diseases (18%), malignancies (17%), chronic pulmonary disease (14%), and dementia (11%). Using the Elixhauser Index, hypertension (37%), cardiac arrhythmias (21%), and fluid and electrolyte disorders (15%) were most prevalent, while ischemic heart disease (42%), hypertension (39%), and use of antiplatelets (37%) were most prevalent when using the Rx-Risk Index. Using the Rx-Risk Index, only 28% of patients had no comorbidity compared to 38% for CCI and 44% for the Elixhauser Index, and the prevalence was stable through the years. Compared to patients with no comorbidity, patients with very severe comorbidity had an aORs for 30-day mortality of 2.6 (CI: 2.4-2.9) using CCI, 2.6 (CI: 2.4-3.1) using the Elixhauser Index, and 3.1 (CI: 2.7-3.4) using the Rx-Risk Index. Interpretation: More than 50% of the patients with hip fractures have moderate to very severe comorbidity, with considerable variation between indices. The prevalence of individual diseases varies considerably. All indices had comparable dose-response associations with mortality. These results are relevant for clinicians to amend prevention and target care, and for researchers to decide which comorbidity measure to use depending on the research question.

Association of anticholinergic drug use with postoperative mortality among patients with hip fracture. A nationwide cohort study.

PURPOSE: Anticholinergic (AC) drugs are associated with various determinantal outcomes. Data regarding the effect of AC drugs on mortality among geriatric hip fracture patients are limited and inconsistent. METHODS: Using Danish health registries, we identified 31,443 patients aged ≥65 years undergoing hip fracture surgery. AC burden was assessed 90 days before surgery by the Anticholinergic Cognitive Burden (ACB) score and number of AC drugs. Logistic and Cox regression producing odds ratios (OR) and hazard ratios (HR) for 30- and 365- day mortality, adjusting for age, sex, and comorbidities were computed. RESULTS: AC drugs were redeemed by 42% of patients. The 30-day mortality increased from 7% for patients with ACB score of 0 to 16% for patients with ACB score of ≥5, corresponding to an adjusted OR 2.5 (CI: 2.0-3.1). The equivalent adjusted HR for 365-mortality was 1.9 (CI: 1.6-2.1). Using count of AC drugs as exposure we found a stepwise increase in ORs and HRs with increased number of AC drugs; Compared to non-users, adjusted ORs for 30-days mortality were 1.6 (CI: 1.4-1.7), 1.9 (CI: 1.7-2.1), and 2.3 (CI: 1.9-2.7) for users of 1, 2 and 3+ AC drugs. HRs for 365-day mortality were 1.4 (CI: 1.3-1.5), 1.6 (CI: 1.5-1.7) and 1.8 (CI: 1.7-2.0). CONCLUSION: Use of AC drugs was associated with increased 30-day and 365-day mortality among older adults with hip fracture. Simply counting the number of AC drugs may be a clinically relevant and easy AC risk assessment tool. Continued effort to reduce AC drug-use is relevant.

Prediction Ability of Charlson, Elixhauser, and Rx-Risk Comorbidity Indices for Mortality in Patients with Hip Fracture. A Danish Population-Based Cohort Study from 2014 - 2018.

Objective: Comorbidity has an important role in risk prediction and risk adjustment modelling in observational studies. However, it is unknown which comorbidity index is most accurate to predict mortality in hip fracture patients. We aimed to evaluate the prediction ability, including discrimination and calibration of Charlson comorbidity index (CCI), Elixhauser comorbidity index (ECI) and Rx-risk index for 30 day- and 1 year mortality in a population-based cohort of hip fracture surgery patients. Methods: Using the Danish Multidisciplinary Hip Fracture Registry in the period 2014-2018, 31,443 patients were included. CCI and ECI were based on discharge diagnoses, while Rx-Risk index was based on pharmacy dispensings. We used logistic regression to assess discrimination of the different indices, individually and in combinations, by calculating c-statistics and the contrast in c-statistic to a base model including only age and gender with 95% confidence intervals (CI). Results: The study cohort were primarily female (69%) and older than 85 years (42%). The 30-day mortality was 10.1% and the 1-year mortality was 26.6%. Age and gender alone had a good discrimination ability for 30-day and 1-year mortality (c-statistic=0.70, CI: 0.69-0.71 and c-statistic=0.68, CI: 0.67 -0.69, respectively). By adding indices individually to the base model, Rx-risk index had the best 30-day and 1-year mortality discrimination ability (c-statistic=0.73, CI: 0.72-0.74 and 0.71 CI: 0.71-0.72, respectively). By adding combination of indices to the base model, a combination of CCI and the Rx-risk index had a 30-day and 1-year mortality discrimination ability of c-statistic=0.74, CI: 0.73-0.75 and c-statistic=0.73, CI: 0.73-0.74, respectively. Calibration of indices was similar. Conclusion: The highest discrimination ability was achieved by combining CCI and Rx-risk index in addition to age and gender. However, age and gender alone had a fair mortality discrimination ability.

Risk of infections and mortality in Danish patients with cancer diagnosed with bone metastases: a population-based cohort study.

OBJECTIVES: Risk of infections in patients with solid cancers and bone metastases (BM) and the subsequent impact on prognosis is unclear. We examined the risk of infections among patients with cancer diagnosed with BM and the subsequent impact of infections on mortality. DESIGN: Population-based cohort study. SETTING: Danish medical databases holding information on all hospital contacts in Denmark. PARTICIPANTS: Adult patients with solid cancers and BM between 1 January 1994 and 30 November 2013. OUTCOME MEASURES: In the risk analyses, the outcome was time to hospitalisation for common severe infections, pneumonia, sepsis and urinary tract infections. In the mortality analysis, we used Cox regression to compute HRs of death, modelling infection as time-varying exposure, stratifying for primary cancer type and adjusting for age, sex and comorbidities. RESULTS: Among 23 336 patients with cancer and BM, cumulative incidences of common severe infections were 4.6%, 14.0% and 20.0% during 1 month, 1 year and 10 years follow-up. The highest incidence was observed for pneumonia, followed by urinary tract infections and sepsis. Infection was a strong predictor of 1 month mortality (adjusted HR: 2.1 (95% CI 1.8 to 2.3)) and HRs increased after 1 and 10 years: 2.4 (95% CI 2.3 to 2.6) and 2.4 (95% CI 2.4 to 2.6). Sepsis and pneumonia were the strongest predictors of death. Results were consistent across cancer types. CONCLUSION: Patients with cancer and BM were at high risk of infections, which was associated with a more than twofold increased risk of death for up to 10 years of follow-up. The findings underscore the importance of preventing infections in patients with cancer and BM.

Positive Predictive Value of Benign Prostatic Hyperplasia and Acute Urinary Retention in the Danish National Patient Registry: A Validation Study.

BACKGROUND AND AIM: Benign prostatic hyperplasia comprises a significant burden to ageing men due to frequently associated lower urinary tract symptoms and the risk of developing serious complications, such as acute urinary retention. Healthcare databases are a valuable source of epidemiological research; however, continuous validation of definitions is imperative. We examined the positive predictive values of International Classification of Diseases, 10th Revision (ICD-10), diagnostic coding for benign prostatic hyperplasia and acute urinary retention in men in the Danish National Patient Registry. METHODS: We investigated a random sample of 100 men diagnosed with benign prostatic hyperplasia and 100 men diagnosed with acute urinary retention between 2011 and 2017 in the Central Denmark Region. Using medical record review as reference standard, we estimated the positive predictive value with corresponding 95% confidence intervals (CI) overall and stratified by age, type of hospital (university hospital vs regional hospital), type of hospital contact (inpatient, outpatient or emergency room), calendar year group (2011-2013, 2014-2017), and department (department of urology, geriatrics, endocrinology or emergency room). RESULTS: Medical records were available for all 200 sampled patients. We found an overall positive predictive value (PPV) of 95% (95% CI: 89-98%) for benign prostatic hyperplasia and 98% (95% CI: 93-99%) for acute urinary retention. The PPVs were consistent across age, type of hospital, type of hospital contact, calendar year group, and department. CONCLUSION: The PPVs of ICD-10 codes for benign prostatic hyperplasia and acute urinary retention recorded in the Danish National Patient Registry are high.