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Metabolic factors and hip fracture risk in a large Austrian cohort study.

ABSTRACT: To explore the association of incident hip fractures with metabolic syndrome (MetS) and its single components, we designed a prospective cohort study of hip fracture incidence among 117,053 participants of a population-based health surveillance program in Vorarlberg, the westernmost Austrian province. Incident hip fractures were recorded between 5 and 10 years after inclusion at baseline from 2003 to 2009. Applying Cox proportional hazard models for each MetS component and for a composite z-score for MetS, hazards for fracture were estimated in quintiles, as continuous z-score variables, and as pathological cut off values. Mean age was 50.1 ± 15.6 years at baseline, 5-10 years after which 947 incident hip fractures occurred. An association of a higher composite MetS score with decreased hip fracture risk was observed in women (HR 0.80, 95%-CI 0.88-0.96, p < 0.01) which disappeared upon adjustment for BMI. BMI was inversely associated with hip fracture risk in women and men (HR for the highest compared with the lowest quintile: 0.83 (95%-CI: 0.63-1.10, p trend < 0.05) and 0.55 (95%-CI: 0.38-0.79, p trend < 0.001), respectively). Only in women, hip fracture risk was reduced at high cholesterol levels (HR for the highest relative to the lowest quintile: 0.64, 95%-CI: 0.48-0.84, p trend < 0.05) and in hypercholesterolemic patients (HR 0.82, 95%-CI: 0.67-0.99, p < 0.05), but elevated in hyperglycemic patients (HR 1.33, 95%-CI: 1.05-1.70, p < 0.05). Hypertriglyceridemia was associated with increased male hip fracture risk (HR 1.33, 95%-CI: 1.03-1.72, p < 0.05). The inverse association between the MetS and hip fracture risk is mainly driven by one single component, namely BMI.

SUBMITTER: Dominic E

PROVIDER: S-EPMC6965713 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Metabolic factors and hip fracture risk in a large Austrian cohort study.

Dominic Erlangga E Brozek Wolfgang W Peter Raphael Simon RS Fromm Ella E Ulmer Hanno H Rapp Kilian K Concin Hans H Nagel Gabriele G

Bone reports 20200113

To explore the association of incident hip fractures with metabolic syndrome (MetS) and its single components, we designed a prospective cohort study of hip fracture incidence among 117,053 participants of a population-based health surveillance program in Vorarlberg, the westernmost Austrian province. Incident hip fractures were recorded between 5 and 10 years after inclusion at baseline from 2003 to 2009. Applying Cox proportional hazard models for each MetS component and for a composite z-scor ...[more]

PMID: 31970265

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Project description:ObjectiveTo examine the risk factors for new chronic opioid use in elderly patients who underwent hip fracture surgery.DesignProspective population-based cohort study.Setting and participantsUsing Danish nationwide health registries, we identified all opioid non-user patients aged ≥65 years who had undergone hip fracture surgery from 2005 to 2016 and were alive within the first year following surgery.Main outcome measuresNew chronic opioid use defined by the dispensing of at least two prescription opioids within two of the last three quarters during the first year following surgery.ResultsWe identified 37 202 opioid non-user patients who underwent hip fracture surgery. Of these, 5497 (15%) developed new chronic opioid user within 1 year of surgery. Risk factors for new chronic opioid use were Body Mass Index (BMI) of <18.5 (adjusted OR (aOR) 1.22, 95% CI 1.09 to 1.36), BMI of 25.0-29.9 (aOR 1.12, 95% CI 1.04 to 1.21) and BMI of ≥30 (aOR 1.57, 95% CI 1.40 to 1.76) with BMI 18.6-24.9 as reference, a pertrochanteric/subtrochanteric fracture (aOR 1.27, 95% CI 1.20 to 1.34) with femoral neck fracture as reference, preoperative use (vs no-use) of non-steroidal anti-inflammatory drug (aOR 1.68, 95% CI 1.55 to 1.83), selective serotonin reuptake inhibitor (aOR 1.42, 95% CI 1.32 to 1.53), antidepressants (aOR 1.36, 95% CI 1.24 to 1.49), antipsychotics (aOR 1.21, 95% CI 1.07 to 1.35), corticosteroids (aOR 1.54, 95% CI 1.35 to 1.76), statins (aOR 1.09, 95% CI 1.02 to 1.18), antibiotics (aOR 1.32, 95% CI 1.22 to 1.42), antiosteoporosis drugs (aOR 1.33, 95% CI 1.19 to 1.49) and anticoagulatives (aOR 1.24, 95% CI 1.17 to 1.32). Presence of cardiovascular comorbidities, diabetes, gastrointestinal diseases, dementia, chronic obstructive pulmonary disease or renal diseases was further identified as a risk factor.ConclusionIn this large nationwide cohort study, we identified several risk factors associated with new chronic opioid use after hip fracture surgery among patients who were alive within the first year following surgery. Although not all factors are modifiable preoperative, this will allow clinicians to appropriately counsel patients preoperatively and tailor postoperative treatment.

Project description:IntroductionNon-attendance with scheduled postoperative follow-up visits remains a common issue in orthopaedic clinical research. The objective of this study was to identify the risk factors associated with loss to follow-up among elderly patients with hip-fracture postoperatively.MethodsA retrospective analysis of 1-year post-surgery was performed on patients aged over 60 years who underwent hip-fracture surgery from January 2017 to March 2019. Based on their completion of the appointed follow-up schedule, the patients were classified into 2 groups: the Loss to Follow-up (LTFU) Group and the Follow-up (FU) Group. Clinical outcomes were evaluated by Functional Recovery Score (FRS) questionnaires. Telephone interviews were conducted with patients lost to follow-up to determine the reasons for non-attendance. A comparative analysis of baseline characteristics between the 2 groups was implemented, with further exploration of statistical differences through logistic regression.ResultsA total of 992 patients met the inclusion criteria were included in this study, of which 189 patients, accounting for 19.1%, were lost to follow-up 1 year postoperatively. The mean age of the patients in the LTFU Group was 82.0 years, significantly higher than the 76.0 years observed in the FU Group (P < 0.001). The FRS for the LTFU Group was marginally higher than that of the FU group (84.0 vs 81.0), with no significant difference (P = 0.060). Logistic regression analysis identified several significant predictors of noncompliance, including advanced age at surgery, femoral neck fracture, hip arthroplasty, long distance from residence to hospital, and the reliance on urban-rural public transportation for reaching the hospital.ConclusionPostoperative follow-up loss was prevalent among elderly patients with hip fractures. Our study indicated a constellation of risk factors contributing to noncompliance, including advanced age, transportation difficulties, long travel distance, femoral neck fracture and hip arthroplasty surgery.

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Metabolic factors and hip fracture risk in a large Austrian cohort study.

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Metabolic factors and hip fracture risk in a large Austrian cohort study.

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