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Backgrounds: Lung cancer patients often have multiple comorbidities. This study aimed to determine which comorbidities had an impact on all-cause mortality in lung cancer patients who had undergone surgical treatment.
Methods: This retrospective study reviewed data from all lung cancer patients who underwent lobectomy or segmentectomy at the Lung Cancer Center Munich between 2011 and 2020. We compared numerical outcomes between patients with minimally invasive surgery and patients with thoracotomy using t-test, and categorical outcomes using Chi2-test or fishers exact test when cell counts were < 6. We used multivariate Cox Regression to model the association between comorbidities and overall survival.
Results: 1658 patients (556 minimally invasive,1102 thoracotomy) were included. Across the entire population the comorbidity with the strongest association to death was chronic lymphatic leukemia (HR = 5.15, p = < 0.001), followed by pulmonary fibrosis (HR = 4.06, p = < 0.001), mild liver disease (HR = 2.18, p = 0.02), peripheral arterial disease (HR = 1.48, p = 0.04) and chronic obstructive pulmonary disease (HR = 1.42, p = < 0.01). In the minimally invasive surgery group chronic lymphatic leukemia was most strongly associated with death (HR = 14.31, p = 0.01). This was followed by mild liver disease (HR = 5.01, p = 0.01) and myocardial infarction (HR = 2.45, p = 0.04). Whereas in the thoracotomy group the strongest associations were fibrosis (HR = 4.20, p = < 0.001) and COPD (HR = 1.51,p = < 0.01).
Conclusion: Most of the comorbidities analyzed do not have a major impact on all-cause mortality after lung surgery. Those that do have a high impact tend to have a very low prevalence.
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http://dx.doi.org/10.1186/s12893-025-02995-6 | DOI Listing |
JAMA Netw Open
September 2025
Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Importance: Patients with advanced cancer frequently receive broad-spectrum antibiotics, but changing use patterns across the end-of-life trajectory remain poorly understood.
Objective: To describe the patterns of broad-spectrum antibiotic use across defined end-of-life intervals in patients with advanced cancer.
Design, Setting, And Participants: This nationwide, population-based, retrospective cohort study used data from the South Korean National Health Insurance Service database to examine broad-spectrum antibiotic use among patients with advanced cancer who died between July 1, 2002, and December 31, 2021.
Minerva Surg
September 2025
Unit of Geriatric Medicine, Department of Emergency, Foresea Life Insurance Guangzhou General Hospital, Guangzhou, China -
J Neurooncol
September 2025
Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA.
Purpose: Frailty measures are critical for predicting outcomes in metastatic spine disease (MSD) patients. This study aimed to evaluate frailty measures throughout the disease process.
Methods: This retrospective analysis measured frailty in MSD patients at multiple time points using a modified Metastatic Spinal Tumor Frailty Index (MSTFI).
J Robot Surg
September 2025
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, UT Health San Antonio, 7703 Floyd Curl Drive, 7836, San Antonio, TX, 78229-3900, USA.
To evaluate intraoperative ventilatory mechanics during robotic-assisted hysterectomy in obese women with endometrial cancer and introduce the concept of a physiologic "ceiling effect" in respiratory strain. We conducted a retrospective cohort study of 89 women with biopsy-confirmed endometrial cancer who underwent robotic-assisted total hysterectomy between 2011 and 2015. Intraoperative ventilatory parameters, including plateau airway pressure and static lung compliance, were recorded at five-minute intervals.
View Article and Find Full Text PDFJ Cancer Res Clin Oncol
September 2025
Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Greifswald, Germany.
Purpose: The German sector-based healthcare system poses a major challenge to continuous patient monitoring and long-term follow-up, both essential for generating high-quality, longitudinal real-world data. The national Network for Genomic Medicine (nNGM) bridges the inpatient and outpatient care sectors to provide comprehensive molecular diagnostics and personalized treatment for non-small cell lung cancer (NSCLC) patients in Germany. Building on the established nNGM infrastructure, the DigiNet study aims to evaluate the impact of digitally integrated, personalized care on overall survival (OS) and the optimization of treatment pathways, compared to routine care.
View Article and Find Full Text PDF