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1.
Arch Bone Jt Surg ; 11(4): 263-269, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37180296

RESUMO

Objectives: In the local and cultural setting of high trauma rates and a reserved outlook on sexual function, this study examines the incidence and underlying factors of sexual dysfunction (SD) following pelvic fractures. Methods: A Multi-center retrospective cohort analysis performed in two general hospitals and one tertiary orthopedic center with collection between 2017 and 2019. Consecutive patients with pelvic fractures between January 2017 and February 2019 were followed up at 18-24 months to screen for new-onset SD using the International Index of Erectile Function-5 (IIEF-5) and Female-Sexual-Function-Index-6 (FSFI-6). Additional variables include age, sex, Young-Burgess classification, urogenital injury, injury severity score, persisting pain, sacroiliac disruption, intervention and if sexual health was discussed or patient referred for sexual healthcare. Results: One-hundred and sixty-five patients (n = 165) were included, (83%) male, (16%) female with a mean age of 35.1 years (Range 18-55). Fracture patterns included lateral compression (LC) (51.5%), anteroposterior compression (APC) (27.7%), and vertical shear (VS) (20.6%). The urogenital injury occurred in 10.3%. The mean IIEF-5 and FSFI-6 scores were 20.8 and 24.7 in males and females, respectively. A total of 40 males (29%) scored below the 21 cut-off scores for SD, while only one female (3.7%) scored below the corresponding score of 19. Of all participants reporting sexual dysfunction, 56% discussed sexual health with their providers, while 46% of these patients were referred for further management. Significant predictive factors for SD using a multivariate logistic regression model include increasing age (OR-1.093, p = 0.006), APC III (OR 88.887, p = 0.006), VS (OR-15.607, p = 0.020), persisting pain (OR 3.600, p = 0.021) and increasing injury severity score (OR 1.184, p <0.001). Conclusion: SD is common among pelvic fractures, and risk factors include APC or VS type fractures, increasing age, increasing injury severity score, and persisting pain. Providers should ensure patients are screened for SD and referred appropriately as patients may not willingly disclose underlying symptoms.

2.
J Clin Orthop Trauma ; 28: 101853, 2022 May.
Artigo em Inglês | MEDLINE | ID: mdl-35402156

RESUMO

Background: The ubiquity of hip fractures pose a substantial burden on public health services worldwide. There is widespread geographical variation in mortality rates and length of stay after hip fractures. The current study investigates both the predictors of; (1) one-year mortality and (2) length of hospital stay (LOS) in adults aged 60 years or older. We aim to identify the risk factors and quantify the extent of influence they have on both outcomes. Methodology: A retrospective multi-center cohort study identified consecutively documented hip fractures between January 2013 and September 2018. A multivariate regression analysis of 603 patients was performed to determine independent factors affecting mortality and total LOS. Results: The study sample included 603 patients with a total one-year mortality rate of 20.6% (n = 124). Predictors of mortality included; longer LOS, increasing age, inability to return to baseline mobility and comorbid burden. The mean overall LOS was 15.1 days, and 22.6 days in the mortality group. Predictors of increased LOS included; previous hip fractures, comorbid burden; diabetic, cerebrovascular disease and smokers. Return to baseline mobility status was associated with reduced LOS. Conclusion: Patients with a longer length of stay, inability to return to baseline mobility status, higher ASA scores, previous hip fractures and longer time to surgery had a higher mortality rate. Determinants of a longer LOS include; increased time to surgery, impeded postoperative mobility status, fixation rather than joint replacement and comorbid burden. A multifaceted approach to preoperative optimization and postoperative recovery is crucial in order to address all possible modifiable factors.

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