Risk Factors for Falls Among Hospitalized Medical Patients - A Systematic Review and Meta-analysis.

OBJECTIVE: To identify and quantify risk factors for in-hospital falls in medical patients. DATA SOURCES: Six databases (MEDLINE, Embase, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, CINAHL, and Google Scholar) were systematically screened until April 11, 2023, to identify relevant articles. STUDY SELECTION: All titles and abstracts of the retrieved articles were independently screened by 2 researchers who also read the full texts of the remaining articles. Quantitative studies that assessed risk factors for falls among adult patients acutely hospitalized were included in the review. Publications that did not capture internal medicine patients or focused on other specific populations were excluded. DATA EXTRACTION: Information on study characteristics and potential risk factors were systematically extracted. Risk of bias was assessed using the Quality in Prognosis Studies tool. Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Meta-analyses of Observational Studies in Epidemiology guidelines were followed for reporting. DATA SYNTHESIS: The main outcome was any in-hospital falls. Using a random-effects meta-analysis model, association measures for each risk factor reported in 5 or more studies were pooled. Separate analyses according to effect measure and studies adjusted for sex and age at least were performed. Of 5067 records retrieved, 119 original publications from 25 countries were included. In conclusion, 23 potential risk factors were meta-analyzed. Strong evidence with large effect sizes was found for a history of falls (odds ratio [OR], 2.54; 95% confidence interval [CI], 1.63-3.96; I2, 91%), antidepressants (pooled OR, 2.25; 95% CI, 1.92-2.65; I2, 0%), benzodiazepines (OR, 1.97; 95% CI, 1.68-2.31; I2, 0%), hypnotics-sedatives (OR, 1.90; 95% CI, 1.53-2.36; I2, 46%), and antipsychotics (OR, 1.61; 95% CI, 1.33-1.95; I2, 0%). Furthermore, evidence of associations with male sex (OR, 1.22, 95% CI, 0.99-1.50; I2, 65%) and age (OR, 1.17, 95% CI, 1.02-1.35; I2, 72%) were found, but effect sizes were small. CONCLUSIONS: The comprehensive list of risk factors, which specifies the strength of evidence and effect sizes, could assist in the prioritization of preventive measures and interventions.

Association between severity of pulmonary embolism and health-related quality of life.

Background: Health-related quality of life (QoL) impairment is common after pulmonary embolism (PE). Whether the severity of the initial PE has an impact on QoL is unknown. Objectives: To evaluate the association between severity of PE and QoL over time. Methods: We prospectively assessed PE-specific QoL using the Pulmonary Embolism Quality of Life (lower scores indicate better QoL) questionnaire and generic QoL using the Short Form 36 (higher scores indicate better QoL) questionnaire at baseline and 3 and 12 months in older patients with acute PE. We examined whether QoL differed by PE severity based on hemodynamic status, simplified Pulmonary Embolism Severity Index (sPESI), right ventricular function, and high-sensitivity troponin T in mixed-effects models, adjusting for known QoL predictors after PE. Results: Among 546 patients with PE (median age, 74 years), severe vs nonsevere PE based on the sPESI was associated with a worse PE-specific (adjusted mean Pulmonary Embolism Quality of Life score difference of 6.1 [95% CI, 2.4-9.8] at baseline, 7.6 [95% CI, 4.0-11.3] at 3 months, and 6.7 [95% CI, 2.9-10.4] at 12 months) and physical generic QoL (adjusted mean Short Form 36 Physical Component Summary score difference of -3.8 [95% CI, -5.5 to -2.1] at baseline, -4.8 [95% CI, -6.4 to -3.1] at 3 months, and -4.1 [95% CI, -5.8 to -2.3] at 12 months). Elevated troponin levels were also associated with lower PE-specific QoL at 3 months and lower physical generic QoL at 3 and 12 months. QoL did not differ by hemodynamic status or right ventricular function. Conclusion: Severe PE based on the sPESI was consistently associated with worse PE-specific and physical generic QoL over time as compared to nonsevere PE.

Risk Assessment Models for Venous Thromboembolism in Medical Inpatients.

Importance: Thromboprophylaxis is recommended for medical inpatients at risk of venous thromboembolism (VTE). Risk assessment models (RAMs) have been developed to stratify VTE risk, but a prospective head-to-head comparison of validated RAMs is lacking. Objectives: To prospectively validate an easy-to-use RAM, the simplified Geneva score, and compare its prognostic performance with previously validated RAMs. Design, Setting, and Participants: This prospective cohort study was conducted from June 18, 2020, to January 4, 2022, with a 90-day follow-up. A total of 4205 consecutive adults admitted to the general internal medicine departments of 3 Swiss university hospitals for hospitalization for more than 24 hours due to acute illness were screened for eligibility; 1352 without therapeutic anticoagulation were included. Exposures: At admission, items of 4 RAMs (ie, the simplified and original Geneva score, the Padua score, and the IMPROVE [International Medical Prevention Registry on Venous Thromboembolism] score) were collected. Patients were stratified into high and low VTE risk groups according to each RAM. Main Outcomes and Measures: Symptomatic VTE within 90 days. Results: Of 1352 medical inpatients (median age, 67 years [IQR, 54-77 years]; 762 men [55.4%]), 28 (2.1%) experienced VTE. Based on the simplified Geneva score, 854 patients (63.2%) were classified as high risk, with a 90-day VTE risk of 2.6% (n = 22; 95% CI, 1.7%-3.9%), and 498 patients (36.8%) were classified as low risk, with a 90-day VTE risk of 1.2% (n = 6; 95% CI, 0.6%-2.6%). Sensitivity of the simplified Geneva score was 78.6% (95% CI, 60.5%-89.8%) and specificity was 37.2% (95% CI, 34.6%-39.8%); the positive likelihood ratio of the simplified Geneva score was 1.25 (95% CI, 1.03-1.52) and the negative likelihood ratio was 0.58 (95% CI, 0.28-1.18). In head-to-head comparisons, sensitivity was highest for the original Geneva score (82.1%; 95% CI, 64.4%-92.1%), while specificity was highest for the IMPROVE score (70.4%; 95% CI, 67.9%-72.8%). After adjusting the VTE risk for thromboprophylaxis use and site, there was no significant difference between the high-risk and low-risk groups based on the simplified Geneva score (subhazard ratio, 2.04 [95% CI, 0.83-5.05]; P = .12) and other RAMs. Discriminative performance was poor for all RAMs, with an area under the receiver operating characteristic curve ranging from 53.8% (95% CI, 51.1%-56.5%) for the original Geneva score to 58.1% (95% CI, 55.4%-60.7%) for the simplified Geneva score. Conclusions and Relevance: This head-to-head comparison of validated RAMs found suboptimal accuracy and prognostic performance of the simplified Geneva score and other RAMs to predict hospital-acquired VTE in medical inpatients. Clinical usefulness of existing RAMs is questionable, highlighting the need for more accurate VTE prediction strategies.

Sex-specific association of cardiovascular drug doses with adverse outcomes in atrial fibrillation.

OBJECTIVES: Sex differences occur in atrial fibrillation (AF), including age at first manifestation, pathophysiology, treatment allocation, complication rates and quality of life. However, optimal doses of cardiovascular pharmacotherapy used in women with AF with or without heart failure (HF) are unclear. We investigated sex-specific associations of beta-blocker and renin-angiotensin system (RAS) inhibitor doses with cardiovascular outcomes in patients with AF or AF with concomitant HF. METHODS: We used data from the prospective Basel Atrial Fibrillation and Swiss Atrial Fibrillation cohorts on patients with AF. The outcome was major adverse cardiovascular events (MACEs), including death, myocardial infarction, stroke, systemic embolisation and HF-related hospitalisation. Predictors of interest were spline (primary analysis) or quartiles (secondary analysis) of beta-blocker or RAS inhibitor dose in per cent of the maximum dose (reference), in interaction with sex. Cox models were adjusted for demographics, comorbidities and comedication. RESULTS: Among 3961 patients (28% women), MACEs occurred in 1113 (28%) patients over a 5-year median follow-up. Distributions of RAS inhibitor and beta-blocker doses were similar in women and men. Cox models revealed no association between beta-blocker dose or RAS inhibitor dose and MACE. In a subgroup of patients with AF and HF, the lowest hazard of MACE was observed in women prescribed 100% of the RAS inhibitor dose. However, there was no association between RAS dose quartiles and MACE. CONCLUSIONS: In this study of patients with AF, doses of beta-blockers and RAS inhibitors did not differ by sex and were not associated with MACE overall.

Characteristics and feedback of adult survivors of childhood cancer seen in Swiss comprehensive follow-up clinics led by general internists: a prospective cohort study.

OBJECTIVES: In our study, we aimed to characterise adult childhood cancer survivors (ACCS), assess their health issues, gauge health-related quality of life (HRQOL) and evaluate visit satisfaction. DESIGN: Prospective cohort study using data from clinical visits and questionnaires. SETTING: Interdisciplinary follow-up programme for ACCS based on the long-term follow-up (LTFU) guidelines of the Children's Oncology Group and overseen by internists in two Swiss hospitals. PARTICIPANTS: ACCS attending our LTFU clinics between April 2017 and January 2022 were eligible. INTERVENTIONS: We documented medical history, current health status and assessed HRQOL using Short Form-36 V.2, comparing it with Swiss general population (SGP) norms (T mean=50, SD=10; age stratified). 3 months post visit, a feedback questionnaire was distributed. MAIN RESULTS: Among 102 ACCS (mean age: 32 years (range: 18-62 years), 68% women), 43 had no prior follow-up (36 ACCS>28 years, 7 ACCS≤28 years). A notable 94% had health issues, affecting an average of 6.1 (SD=3.3) organ systems. HRQOL was lower in ACCS>28 years than the SGP>28 years (physical: 44.8 (SD=11.65) vs 49.3 (SD=10.29), p=0.016; mental: 44.4 (SD=13.78) vs 50.53 (SD=9.92), p=0.004). Older ACCS (>28 years) reported inferior physical (44.8 vs 50.1 (SD=9.30), p=0.017) and mental HRQOL (44.4 vs 50.3 (SD=7.20), p=0.009) than younger ACCS. The majority of respondents reported high levels of satisfaction with the consultation, exceeding 90%. CONCLUSION: ACCS attending LTFU clinics face diverse health issues impacting multiple organ systems and exhibit lower HRQOL compared with the SGP. Thus, internist-led LTFU clinics are crucial for optimising follow-up care.

Haemoglobin thresholds for transfusion: how are we doing in the era of Choosing Wisely? A retrospective cohort study.

INTRODUCTION:  Clinical practice guidelines and the Choosing Wisely initiative launched in 2012 recommend a haemoglobin (Hb) threshold of 70-80 g/lfor red blood cell (RBC) transfusions in stable hospitalised patients. Data on transfusion practices and their trends in medical inpatients are limited. To address this gap, we investigated transfusion practices and their trends in general internal medicine and other clinics. METHODS: This retrospective cohort study analysed data from all hospitalisations with RBC transfusions at a Swiss university hospital between 2012 and 2019. We included all first transfusion episodes if pretransfusion Hb was available. The primary endpoint was mean pretransfusion Hb; secondary endpoints included potentially inadequate transfusions (i.e., transfusions at Hb ≥80 g/l) and receipt of a single RBC unit. Trends in mean pretransfusion Hb over time were estimated using generalised estimating equations, and risk factors for potentially inadequate transfusions were identified using multivariable adjusted generalised estimating equations models. RESULTS:  Of 14,598 hospitalisations with RBC transfusions, 1980 (13.6%) were discharged from general internal medicine. From 2012 to 2019, mean pretransfusion Hb decreased from 74.0 g/l to 68.8 g/l in general internal medicine (mean annual decrease -0.76 g/l, 95% confidence interval [CI] -0.51 to -1.02) and from 78.2 g/l to 72.7 g/l in other clinics (mean annual decrease -0.69, 95% CI -0.62 to -0.77; p for interaction 0.53). The overall proportion of potentially inadequate transfusions was 17.8% in general internal medicine and 24.1% in other clinics (p <0.001) and decreased over the study period from 26.9% to 5.5% in general internal medicine and from 37.0% to 15.2% in other clinics. In contrast, the proportion of cases receiving a single RBC unit increased (39.5% to 81.4% in general internal medicine, 42.7% to 66.1% in other clinics). Older age (adjusted odds ratio [aOR] 1.45, 95% CI 1.32-1.58 for ≥65 vs <65 years), having surgery (aOR 1.24, 95% CI 1.14-1.36), acute haemorrhage (aOR 1.16, 95% CI 1.02-1.33), chronic heart failure (aOR 1.17, 95% CI 1.04-1.32), ischaemic heart diseases (aOR 1.27, 95% CI 1.15-1.41), chronic pulmonary diseases (aOR 1.24, 95% CI 1.08-1.42), malignancy (aOR 1.11, 95% CI 1.01-1.21), and rheumatic disease (aOR 1.27, 95% CI 1.01-1.59) were risk factors for potentially inadequate transfusions. CONCLUSIONS:  More restrictive transfusion practices were adopted in general internal medicine and other clinics over time, suggesting that guideline recommendations and the Choosing Wisely initiative may have been increasingly followed. Interventions to reduce potentially inadequate transfusions should target providers who care for older patients and those with surgery or chronic cardiac and pulmonary diseases.