Importance of kidney function, number of chronic conditions and medications for hospitalisation in elderly in Blekinge County, Sweden: a case-control study.

OBJECTIVES: To study the association between risk for hospitalisation in an elderly population related to renal function, number of chronic diseases and number of prescribed drugs. DESIGN: A case-control study. Persons hospitalised were included and their controls were obtained from electronic hospital medical records. If data were lacking on creatinine levels, multiple imputation was used. SETTING: Blekinge County in southwestern Sweden. PARTICIPANTS: Study of individuals aged 75 years or older in 2013. We identified a total of 2,941 patients with a first hospitalisation. Of these, 81 were excluded, 78 due to incomplete data and 3 because of lack of control persons. Controls were matched to the same sex and birth year, which resulted in 5720 persons. PRIMARY AND SECONDARY OUTCOME MEASURES: To analyse the OR for hospitalisation conditional logistic regression was used. RESULTS: A total of 695 persons lacked creatinine value. Using imputation values comparing persons with estimated glomerular filtration rate (eGFR) <30 mL/min/1.73 m2 with ≥30 univariate analyses showed an increased OR 2.35 (95% CI 1.83 to 3.03). Adjusted analyses demonstrated an OR of 1.90 (95% CI 1.46 to 2.47). Comparing eGFR<45 mL/min/1.73 m2 against ≥45 univariate analyses showed OR 1.38 (95% CI 1.22 to 1.57). Adjusted analyses OR for the same group were 1.17 (95% CI 1.03 to 1.33). In both models, the OR for five or more chronic conditions and five or more medications showed a statistically increased risk for hospitalisation. CONCLUSIONS: There is a need for systems using data collected in routine care to follow elderly patients to minimise avoidable hospitalisations that can cause adverse effects. Renal function, number of chronic conditions and medications are factors that are of significant importance. This study demonstrates the complexity of this patient group.

Use of potentially inappropriate medication and polypharmacy in older adults: a repeated cross-sectional study.

BACKGROUND: With age, the number of chronic conditions increases along with the use of medications. For several years, polypharmacy has been found to be on the increase in western societies. Polypharmacy is associated with an increased risk of adverse drug events (ADE). Medications called potentially inappropriate medications (PIM) have also been found to increase the risk of ADEs in an older population. In this study, which we conducted during a national information campaign to reduce PIM, we analysed the prevalence of PIM in an older adult population and in different strata of the variables age, gender, number of chronic conditions and polypharmacy and how that prevalence changed over time. METHODS: This is a registry-based repeated cross-sectional study including two cohorts. Individuals aged 75 or older listed at a primary care centre in Blekinge on the 31st March 2011 (cohort 1, 15,361 individuals) or on the 31st December 2013 (cohort 2, 15,945 individuals) were included in the respective cohorts. Using a chi2 test, the two cohorts were compared on the variables age, gender, number of chronic conditions and polypharmacy. Use of five or more medications at the same time was the definition for polypharmacy. RESULTS: Use of PIM decreased from 10.60 to 7.04% (p-value < 0.001) between 2011 and 2013, while prevalence of five to seven chronic conditions increased from 20.55 to 23.66% (p-value < 0.001). Use of PIM decreased in all strata of the variables age, gender number of chronic conditions and polypharmacy. Except for age 80-84 and males, where it increased, prevalence of polypharmacy was stable in all strata of the variables. CONCLUSIONS: Use of potentially inappropriate medications had decreased in all variables between 2011 and 2013; this shows the possibility to reduce PIM with a focused effort. Polypharmacy does not increase significantly compared to the rest of the population.

Importance of potentially inappropriate medications, number of chronic conditions and medications for the risk of hospitalisation in elderly in Sweden: a case-control study.

OBJECTIVES: This study aimed to investigate the importance of potentially inappropriate medications, number of medications and chronic conditions for the risk of hospitalisation among an elderly population. DESIGN: This is a case-control study. SETTING: Population-based study in 2013 of all individuals aged 75 years and older (17 203) in the county of Blekinge in the southeast of Sweden. PARTICIPANTS: A total of 2941 individuals were included who had at least one hospitalisation to a medical, geriatric and palliative, or orthopaedic ward during 2013. From this total, 81 were excluded because of incomplete data or absence of controls. In total, 5720 patients were included and formed 2860 risk sets matched on age and gender. PRIMARY AND SECONDARY OUTCOME MEASURES: Conditional logistic regression was used to analyse the odds for hospitalisation according to use of potentially inappropriate medication (PIM), number of chronic conditions and medicines using univariate and multivariate models. PIM was defined as long-acting benzodiazepines, tramadol, propiomazine and medicines with anticholinergic effect. RESULTS: The univariate analysis for use of PIM showed a significant association with hospitalisation (OR 1.54, 95% CI 1.30 to 1.83). For the number of chronic conditions, the OR was increased and was significant from two or more chronic conditions, and for the number of medicines from the use of five or more medicines, in the univariate analysis. Use of PIM has no association with hospitalisation in the full model. The number of chronic conditions and medicines in the full models continued to have strong associations for hospitalisation, from five to seven chronic conditions (OR 1.86, 95% CI 1.49 to 2.33) and use of five to nine medicines (OR 1.46, 95% CI 1.21 to 1.77) at the same time. CONCLUSION: The number of chronic conditions and medications are important for the odds of hospitalisation, while the use of PIM, according to the definition used in this study, was no significant in the full model.

Is use of fall risk-increasing drugs in an elderly population associated with an increased risk of hip fracture, after adjustment for multimorbidity level: a cohort study.

BACKGROUND: Risk factors for hip fracture are well studied because of the negative impact on patients and the community, with mortality in the first year being almost 30% in the elderly. Age, gender and fall risk-increasing drugs, identified by the National Board of Health and Welfare in Sweden, are well known risk factors for hip fracture, but how multimorbidity level affects the risk of hip fracture during use of fall risk-increasing drugs is to our knowledge not as well studied. This study explored the relationship between use of fall risk-increasing drugs in combination with multimorbidity level and risk of hip fracture in an elderly population. METHODS: Data were from Östergötland County, Sweden, and comprised the total population in the county aged 75 years and older during 2006. The odds ratio (OR) for hip fracture during use of fall risk-increasing drugs was calculated by multivariate logistic regression, adjusted for age, gender and individual multimorbidity level. Multimorbidity level was estimated with the Johns Hopkins ACG Case-Mix System and grouped into six Resource Utilization Bands (RUBs 0-5). RESULTS: 2.07% of the study population (N = 38,407) had a hip fracture during 2007. Patients using opioids (OR 1.56, 95% CI 1.34-1.82), dopaminergic agents (OR 1.78, 95% CI 1.24-2.55), anxiolytics (OR 1.31, 95% CI 1.11-1.54), antidepressants (OR 1.66, 95% CI 1.42-1.95) or hypnotics/sedatives (OR 1.31, 95% CI 1.13-1.52) had increased ORs for hip fracture after adjustment for age, gender and multimorbidity level. Vasodilators used in cardiac diseases, antihypertensive agents, diuretics, beta-blocking agents, calcium channel blockers and renin-angiotensin system inhibitors were not associated with an increased OR for hip fracture after adjustment for age, gender and multimorbidity level. CONCLUSIONS: Use of fall risk-increasing drugs such as opioids, dopaminergic agents, anxiolytics, antidepressants and hypnotics/sedatives increases the risk of hip fracture after adjustment for age, gender and multimorbidity level. Fall risk-increasing drugs, high age, female gender and multimorbidity level, can be used to identify high-risk patients who could benefit from a medication review to reduce the risk of hip fracture.

Licit prescription drug use in a Swedish population according to age, gender and socioeconomic status after adjusting for level of multi-morbidity.

BACKGROUND: There is a great variability in licit prescription drug use in the population and among patients. Factors other than purely medical ones have proven to be of importance for the prescribing of licit drugs. For example, individuals with a high age, female gender and low socioeconomic status are more likely to use licit prescription drugs. However, these results have not been adjusted for multi-morbidity level. In this study we investigate the odds of using licit prescription drugs among individuals in the population and the rate of licit prescription drug use among patients depending on gender, age and socioeconomic status after adjustment for multi-morbidity level. METHODS: The study was carried out on the total population aged 20 years or older in Östergötland county with about 400 000 inhabitants in year 2006. The Johns Hopkins ACG Case-mix was used as a proxy for the individual level of multi-morbidity in the population to which we have related the odds ratio for individuals and incidence rate ratio (IRR) for patients of using licit prescription drugs, defined daily doses (DDDs) and total costs of licit prescription drugs after adjusting for age, gender and socioeconomic factors (educational and income level). RESULTS: After adjustment for multi-morbidity level male individuals had less than half the odds of using licit prescription drugs (OR 0.41 (95% CI 0.40-0.42)) compared to female individuals. Among the patients, males had higher total costs (IRR 1.14 (95% CI 1.13-1.15)). Individuals above 80 years had nine times the odds of using licit prescription drugs (OR 9.09 (95% CI 8.33-10.00)) despite adjustment for multi-morbidity. Patients in the highest education and income level had the lowest DDDs (IRR 0.78 (95% CI 0.76-0.80), IRR 0.73 (95% CI 0.71-0.74)) after adjustment for multi-morbidity level. CONCLUSIONS: This paper shows that there is a great variability in licit prescription drug use associated with gender, age and socioeconomic status, which is not dependent on level of multi-morbidity.