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Risk factors for drug-related problems in a general hospital: A large prospective cohort.

ABSTRACT: OBJECTIVE:To identify risk factors for potential Drug-Related Problems (DRP) at admission in hospitalized patients. METHODOLOGY:Prospective cohort study conducted in adults patients hospitalized (May 2016 to May 2018) in a general tertiary care hospital in Brazil. Potential DRP were detected by daily review of 100% of electronic medication orders by hospital pharmacists and classified by the Pharmaceutical Care Network Europe classification system (PCNE version 6.2). For the identification of risk factors of potential DRP, backward stepwise logistic regression was used to identify the set of independent predictors among over 120 variables collected in the initial 48 hours after admission in a training set consisting of 2/3 of the study population. The model was validated in the remaining sample. RESULTS:The study population consisted of 1686 patients aged 52.0+/- 18.3 years-old, 51.4% females, with a median length of stay of 3.24 days, and 4.5% in-hospital mortality. The cumulative incidence of potential DRP was 14.5%. Admission for elective surgery and main diagnosis of disease of the circulatory system were associated with reduced risk of DRP (OR 0.41 and 0.57, respectively, p<0.05). The independent risk factors of DRP are heart rate ≥ 80 bpm (OR 1.41, p = 0.05), prescription of more than seven drugs in day 2 (OR 1.63, p = 0.05), prescription in day 1 of drugs of the Anatomical Therapeutic Chemical Code (ATC) class A (alimentary tract and metabolism, OR 2.24, p = 0.003), prescription in day 2 of two or more ATC class A drugs (OR = 3.52, p<0.001), and in day 1 of ATC class J drugs (antiinfectives for systemic use, OR 1.97, p = 0.001). In the validation set, the c-statistic of the predictive model was 0.65, the sensitivity was 56.1% and the specificity was 65.2%. CONCLUSION:This study identified seven independent risk factors of potential DRP in patients hospitalized in a general hospital that have fair predictive performance for utilization in clinical practice.

SUBMITTER: Saldanha V

PROVIDER: S-EPMC7199929 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BACKGROUND: Over recent years increased emphasis has been given to performance monitoring of NHS hospitals, including overall number of hospital readmissions, which however are often sub-optimally adjusted for case-mix. We therefore conducted a study to examine the effect of various patient and disease factors on the risk of emergency medical readmission. METHODS: The study setting was a District General Hospital in Greater Manchester and the study period was 4.5-years. All index emergency medical admission during the study period leading to a live discharge were included in the study (n = 20,209). A multivariable proportional hazards modelling was used, based on Hospital Episodes Statistics data, to examine the influence of various baseline factors on readmission risk. Deprivation status was measured with the Townsend deprivation index score. Hazard ratios (HR) and associated 95% confidence intervals (CI) of unplanned emergency medical admission by sex, age group, admission method, diagnostic group, number of coded co-morbidities, length of stay and patient's deprivation status quartile, were calculated. RESULTS: Significant independent predictors of readmission risk at 12 months were male sex (HR 1.13, CI: 1.07-1.2), age (age >75 (HR 1.57, CI 1.45-1.7), number of coded co-morbidities (HR for >4 coded co-morbidities: 1.49 CI: 1.26-1.76), admission via GP referral (HR 0.93, CI 0.88-0.99) and primary diagnosis of heart failure (HR 1.33, CI: 1.16-1.53) and chronic obstructive pulmonary disease/asthma (HR 1.34, CI: 1.21-1.48). Higher level of deprivation was also significantly and independently associated and with increased emergency medical readmission risk at three (HR for the most deprived quartile 1.21, CI: 1.08-1.35), six (HR 1.21, CI: 1.1-1.33) and twelve months (HR 1.25, CI: 1.16-1.36). CONCLUSIONS: There is a potential for improving health and reducing demand for emergency medical admissions with more effective management of patients with heart failure and chronic obstructive airways disease/asthma. There is also a potential for improving health and reducing demand if reasons for increased readmission risk in more deprived patients are understood. The potential influence of deprivation status on readmission risk should be acknowledged, and NHS performance indicators adjustment for deprivation case-mix would be prudent.

Project description:IntroductionDrug-related problems can affect the treatment outcomes of hospitalized patients and outpatients that lead to morbidity and mortality. Despite this, there were scanty of studies among patients with infectious diseases in Ethiopia. As the result, this study was tried to assess the magnitude and determinants of drug therapy problems among infectious disease patients admitted to the medical wards of Wollega University Referral Hospital.MethodsA prospective observational study was conducted from May to August 2019. The prevalence and types of drug- related therapy problems were studied using the Pharmaceutical Care Network Europe Foundation classification system, and adverse drug reaction was assessed by using the Naranjo algorithm. Multivariable logistic regression analysis was used to determine the predictors of drug-related problems, and a significant association was declared if p-value < 0.05.ResultOf the 172 study participants, 106 (61.6%) were males, and the patient's mean age was 39.1 ± 14.31 years. Over the study period, 123 (71.51%) patients had drug-related problems. Need for additional drug therapy was the widely occurred drug-related problem that accounts for 107 (22.77%), and the most common drug-associated with the drug therapy problem was ceftriaxone (77 (44.77%)). This inappropriate use of ceftriaxone might be due to the preference of physicians to prescribe this broad spectrum antibiotic in which it was prescribed for the majority of the infectious disease etiology. Polypharmacy (adjusted odds ratio (AOR) = 2.505, 95% confidence interval (CI): 1.863-11.131), length of hospital stay ⩾ 7 days (AOR = 4.396, 95% CI: 1.964-7.310), and presence of co-morbidity (AOR = 2.107, 95% CI: 1.185-4.158, p = 0.016) were determinants of drug-related problems.ConclusionThe magnitude of drug-related problems was found to be high. Hence, the clinical pharmacy service should be established to tackle inappropriate indications, ineffective drug therapy, and adverse drug events in the study area.

Project description:BackgroundAlthough opioids are initiated on hospital discharge in millions of older adults each year, there are no studies examining patient- and prescribing-related risk factors for opioid-related adverse drug events (ADEs) after hospital discharge among medical patients.MethodsA retrospective cohort study of a national sample of Medicare beneficiaries aged 65 years and older, hospitalized for a medical reason, with at least one claim for an opioid within 2 days of hospital discharge. We excluded patients receiving hospice care and patients admitted from or discharged to a facility. We used administrative billing codes and medication claims to define potential opioid-related ADEs within 30 days of hospital discharge, and competing risks regression to identify risk factors for these events.ResultsAmong 22,879 medical hospitalizations (median age 74, 36.9% female) with an opioid claim within 2 days of hospital discharge, a potential opioid-related ADE occurred in 1604 (7.0%). Independent risk factors included age of 80 years and older (HR 1.18, 95% CI 1.05-1.33); clinical conditions, including kidney disease (HR 1.22, 95% CI 1.08-1.37), dementia/delirium (HR 1.38, 95% CI 1.22-1.56), anxiety disorder (HR 1.20, 95% CI 1.06-1.36), opioid use disorder (HR 1.20, 95% CI 1.03-1.39), intestinal disorders (HR 1.31, 95% CI 1.15-1.49), pancreaticobiliary disorders (HR 1.32, 95% CI 1.09-1.61), and musculoskeletal and nervous system injuries (HR 1.35, 95% CI 1.17-1.54); red flags for opioid misuse (HR 1.37, 95% CI 1.04-1.80); opioid use in the 30 days before hospitalization (HR 1.20, 95% CI 1.08-1.34); and prescription of long-acting opioids (HR 1.34, 95% CI 1.06-1.70).ConclusionsPotential opioid-related ADEs occurred within 30 days of hospital discharge in 7.0% of older adults discharged from a medical hospitalization with an opioid prescription. Identified risk factors can be used to inform physician decision-making, conversations with older adults about risk, and development and targeting of harm reduction strategies.

Project description:Background and objectivesVitamin D has been indicated to play an important role in the optimal function of the cardiovascular system. However, with limited evidence, it remains unclear whether vitamin D status transition during childhood would affect cardiometabolic risk factors. Thus, we aimed to identify the associations of the longitudinal trajectory of vitamin D status with cardiometabolic risk factors in children.MethodsA total of 10,482 participants with complete follow-up records from a large population-based prospective cohort study were included in this analysis. The 25-hydroxyvitamin D [25(OH)D] concentrations, blood pressure, blood lipids, and fasting blood glucose were determined. Vitamin D deficiency was defined as serum 25(OH)D concentrations below 30 nmol/L according to the Institute of Medicine recommendations. Based on the vitamin D status at baseline and follow-up, we identified four possible trajectories: (1) persistent non-deficiency (reference); (2) baseline non-deficiency to follow-up deficiency; (3) baseline deficiency to follow-up non-deficiency; (4) persistent deficiency. The relationships between cardiometabolic risk factors and vitamin D trajectories were evaluated using adjusted risk ratios (RRs).ResultsOverall, 35.1 and 24.2% of participants had vitamin D deficiency at the baseline and follow-up, respectively, and 15.1% were under the condition of persistent vitamin D deficiency. Compared to children with persistent non-deficiency, those who shifted from non-deficiency at baseline to deficiency at follow-up had a 2.09-fold (95% CI: 1.36, 3.23) increased risk of high triglyceride (TG). Besides, children with altered vitamin D status from deficiency to non-deficiency during follow-up were still at a significantly higher risk of high total cholesterol (TC) than the reference group [RR (95% CI): 1.39 (1.04, 1.86)]. Finally, children with persistent vitamin D deficiency were at the highest risks of high TC [RR (95% CI): 1.61 (1.18, 2.19), P trend < 0.001], high low-density lipoprotein cholesterol (LDL-C) [RR (95% CI): 1.53 (1.04, 2.27), P trend = 0.046], and high TG [RR (95% CI): 1.96 (1.34, 2.87), P trend = 0.003].ConclusionOur results suggest that persistent vitamin D deficiency might increase the risk of dyslipidemia in children, and vitamin D deficiency could have has short- and long-term effects on TG and TC, respectively.

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Risk factors for drug-related problems in a general hospital: A large prospective cohort.

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