Background And Objectives: Sex concordance may impact the therapeutic relationship and provider-patient interactions. We sought to define the association of surgeon-patient sex concordance on postoperative patient outcomes following complex cancer surgery.
Methods: Patients who underwent surgery for lung, breast, hepato-pancreato-biliary, or colorectal cancer between 2014 and 2020 were identified from the Medicare Standard Analytic Files. The impact of surgeon-patient sex concordance or discordance on achieving an optimal postoperative textbook outcome (TO) was assessed using multivariable logistic regression.
Results: Among 495 628 patients, 241 938 (48.8%) patients were sex concordant with their surgeon while 253 690 (51.2%) patients were sex discordant. Sex discordance between surgeon and patient was associated with a decreased likelihood to achieve a postoperative TO (odds ratio [OR]: 0.95, 95% CI: 0.93-0.97; p < 0.001). Sex discordance was associated with a higher risk of complications (OR: 1.05, 95% CI: 1.03-1.07; p < 0.001) and 90-day mortality (OR: 1.05, 95% CI: 1.01-1.09; p = 0.011). Of note, male patients treated by female surgeons (OR: 0.96, 95% CI: 0.93-0.99; p = 0.017) had a similar lower likelihood to achieve a TO as female patients treated by male surgeons (OR: 0.90, 95% CI: 0.86-0.93; p < 0.001).
Conclusions: Sex discordance was associated with a reduced likelihood of achieving an "optimal" postoperative course following complex cancer surgery.
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http://dx.doi.org/10.1002/jso.27527 | DOI Listing |
BMJ Open Respir Res
January 2025
Division of Respiratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Introduction: Persistent lung abnormalities following COVID-19 infection are common. Similar parenchymal changes are observed in idiopathic pulmonary fibrosis (IPF). We investigated whether common genetic risk factors in IPF are associated with developing lung parenchymal abnormalities following severe COVID-19 disease.
View Article and Find Full Text PDFZhonghua Liu Xing Bing Xue Za Zhi
January 2025
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing100191, China.
To describe the distribution characteristics of alcohol consumption in adult twins in the Chinese National Twin Registry (CNTR), and further explore the influence of genetic factors on alcohol consumption in adult twins. The subjects of the study were twins registered by CNTR in 11 project areas across China from 2010 to 2018. A total of 56 966 twins (28 483 pairs) aged 18 years and above who answered questions about drinking behavior were included, and the random effect model was used to describe the population and regional distribution characteristics of alcohol consumption.
View Article and Find Full Text PDFJ Am Med Dir Assoc
January 2025
School of Public Health, Shunde Women and Children's Hospital, Guangdong Medical University, Dongguan, China; Precision Key Laboratory of Public Health, Guangdong Medical University, Dongguan, China. Electronic address:
Objectives: The 3 most frequently utilized frailty assessment measures are the Fried criteria, FRAIL scale, and Frailty Index (FI). This study aimed to compare predictive capabilities of these 3 measures regarding all-cause mortality in the United States and to identify the key predictive variables.
Design: Cross-sectional study.
BMJ Open
January 2025
Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands
Objectives: Aneurysmal subarachnoid haemorrhage (ASAH) is a severe stroke type, preventable by screening for intracranial aneurysms followed by treatment in high-risk individuals. We aimed to develop and validate a risk prediction model for ASAH in the general population to identify high-risk individuals.
Design: We used the population-based prospective cohort studies of the United Kingdom (UK) Biobank for model development and the Trøndelag Health (HUNT) Study for model validation.
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