Multivariate Cox Regression Analysis Research Articles

The clinical impact of intraoperative bleeding on peritoneal recurrence after surgery for stage II to III colorectal cancer

BackgroundThis study aimed to investigate the risk factors for peritoneal recurrence (PR) in patients with stage II to III colorectal cancer who underwent colorectal surgery. MethodsA retrospective study was conducted on 232 patients who underwent colorectal surgery for stage II to III colorectal cancer. Univariate and multivariate analyses were performed to determine risk factors for PR. ResultsThe overall incidence of PR was 8.2 % (19/232). A univariate Cox regression analysis showed that a higher level of carcinoembryonic antigen (CEA) (P = 0.039), higher levels of carbohydrate antigen 19–9 (CA19-9) (P < 0.001), preoperative bowel obstruction (P = 0.011), tumor invasion of T4 category (P = 0.019), lymph node metastasis (P = 0.016), poorly differentiated, mucinous or signet-ring histological type (P = 0.010), larger amount of intraoperative bleeding (P = 0.002), R1 resection (P = 0.003), anastomotic leakage Clavien-Dindo classification (CD) ≥2 (P = 0.018), longer postoperative stay (P = 0.002), and recurrence of other organs preceding disseminated recurrence (P = 0.004) were observed significantly more frequently in patients with PR than in patients without PR. A multivariate Cox regression analysis revealed that poorly differentiated, mucinous, or signet-ring histological type (HR: 5.067, 95 % CI: 1.192–21.534, P = 0.028) and intraoperative bleeding (HR: 1.003, 95 % CI: 1.000–1.005, P = 0.017) were independent risk factors for PR. Peritoneal recurrence-free survival curves generated using the Kaplan-Meier method gradually worsened with increasing intraoperative bleeding (P < 0.001). In addition, the sub-analyses between stage II and stage III and between ≤ cT3 and cT4 also demonstrated that peritoneal recurrence-free survival worsened with increasing intraoperative bleeding. ConclusionsOur findings suggest that histological type, and intraoperative bleeding are risk factors for PR in patients who undergo colorectal surgery for stage II to III colorectal cancer. In particular, peritoneal recurrence is associated with increased intraoperative bleeding.

Generalized additive mixed model to evaluate the association between ventilatory ratio and mortality in patients: A retrospective cohort study.

Previous studies have indicated that a higher ventilatory ratio (VR) is associated with mortality. However, it is unknown whether dynamic changes in VR over time affect the prognosis of critically ill patients. This study aims to investigate the significance of VR during the progression of the disease in critically ill patients. The Medical Information Mart for Intensive Care III database was searched to identify critically ill patients. The primary outcome was 30-day mortality. Multivariable Cox regression was used to elucidate the relationship between the VR and mortality. Finally, we employed a generalized additive mixed model to compare trends in VR over time between survivors and non-survivors. A total of 8024 patients were enrolled. Multivariable Cox regression analysis identified a baseline VR ≥1.89 as an independent risk factor predicting 30-day mortality (hazard ratio: 2.10, 95% confidence interval: 1.89-2.33, P < .001) and 90-day mortality (hazard ratio: 2.18, 95% confidence interval: 1.97-2.41, P < .001) after adjusting for potential confounders. In the subgroup analyses, the observed association between VR and 30-day mortality showed consistent direction across most subgroups. The generalized additive mixed model results highlighted that the difference in VR between survivors and non-survivors increased by an average of 0.01 per day after adjusting for several covariates. In conclusion, VR dynamically mirrors pathophysiological changes in critically ill patients and its escalation is linked to higher mortality rates. Monitoring VR's dynamic shifts might offer more immediate prognostic information, thus aiding in timely interventions and risk stratification.

Construction and Validation of a Prognostic Prediction Model for Gastric Mucinous Adenocarcinoma Based on the SEER Database

This study focused on the development and validation of a prognostic model to predict overall survival (OS) in patients with gastric mucinous adenocarcinoma (GMA), utilizing data from the SEER database. A cohort of 537 GMA patients was analyzed to identify factors affecting survival, using both univariate and multivariate Cox regression analyses on demographic and clinicopathological variables. The analysis led to the creation of a nomogram model. Findings revealed that TNM staging and the administration of radiotherapy or chemotherapy were significant factors impacting survival outcomes. Specifically, patients at stages T4, N3, and M1 faced a notably higher mortality risk, while those who received radiotherapy and chemotherapy experienced a significant reduction in mortality risk. The model's performance, as indicated by C-indices of 0.73 in the training set and 0.66 in the validation set, suggests robust predictive capability. The area under the curve (AUC) analysis confirmed high accuracy in predicting 1-year, 3-year, and 5-year survival rates, and calibration curves displayed strong agreement between predicted and actual outcomes. Decision curve analysis (DCA) demonstrated that the model exhibited significant clinical utility across various thresholds. Overall, this study presents a reliable prognostic tool for individualized risk stratification and clinical treatment in GMA patients. Future work should focus on enhancing the model by incorporating molecular biological data to increase its predictive accuracy and applicability.

Construction of a combined prognostic model for pancreatic ductal adenocarcinoma based on deep learning and digital pathology images

BackgroundDeep learning has made significant advancements in the field of digital pathology, and the integration of multiple models has further improved accuracy. In this study, we aimed to construct a combined prognostic model using deep learning-extracted features from digital pathology images of pancreatic ductal adenocarcinoma (PDAC) alongside clinical predictive indicators and to explore its prognostic value.MethodsA retrospective analysis was conducted on 142 postoperative pathologically confirmed PDAC cases. These cases were divided into training (n = 114) and testing sets (n = 28) at an 8:2 ratio. Tumor whole-slide imaging features were extracted and screened to construct a pathological risk model based on a pre-trained deep learning model. Clinical and pathological data from the training set were used to select independent predictive factors for PDAC and establish a clinical risk model using LASSO, univariate, and multivariate Cox regression analyses. Based on the pathological and clinical risk models, a combined model was developed. The Harrell concordance index (C-index) was computed to assess the predictive performance of each model for PDAC survival prognosis.ResultsFor the training and testing sets, the C-index values for the clinical risk model were 0.76 and 0.75, respectively; for the pathological risk model, they were 0.82 and 0.73, respectively; and for the combined model, they were 0.86 and 0.77, respectively. The combined model exhibited appropriate calibration at 1-, 3-, and 5-year time points, as well as a superior area under the curve of the receiver operating characteristic curve and clinical net benefit compared to the single models.ConclusionsIntegrating the pathological and clinical risk models may provide a higher predictive value for survival prognosis.

A Novel Liver Metastasis Score for Patients Undergoing Surgical Resection of Gastroenteropancreatic Neuroendocrine Tumors: A Multi-institutional Study.

Liver metastasis impacts survival in patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs); however, current guidelines lack consensus on post-resection surveillance and adjuvant therapy. A comprehensive risk stratification tool is needed to guide personalized management. We aimed to develop and validate a predictive model for liver metastasis risk after surgical resection of GEP-NETs that incorporates pathological factors and adjuvant therapy. Patients with GEP-NETs who underwent surgical resection with curative intent at three major Chinese hospitals (2010-2022) were identified. Univariable and multivariable Cox regression analysis identified independent risk factors of liver metastasis. The liver metastasis score (LMS) was developed using weighted risk factors and validated by tenfold cross-validation. Among the 724 patients included in the analytic cohort, liver metastasis occurred in 66 patients (9.1%) at a median of 36 months; patients with liver metastasis had a worse 5-year overall survival (no liver metastasis 63.6% vs. liver metastasis 95.8%; p<0.001). Independent predictors were Ki-67 index (hazard ratio [HR] 10.36 for Ki-67 3-20%, HR 18.30 for Ki-67 >20%, vs. <3%), vascular invasion (HR 5.03), lymph node metastases (HR 2.24), and lack of adjuvant therapy (HR 3.03). The LMS demonstrated excellent discrimination (C-index 0.888) and stratified patients into low, intermediate, and high-risk relative to 5-year risk of liver metastasis: 2.9%, 20.8%, and 49.7%, respectively (p<0.001). The novel LMS effectively predicted the risk of liver metastasis after surgical resection of GEP-NETs. This validated model can help guide personalized surveillance and adjuvant treatment strategies, potentially improving outcomes for high-risk patients.

Identification and validation of a prognostic model based on immune-related genes in ovarian carcinoma.

A novel valuable prognostic model has been developed on the basis of immune-related genes (IRGs), which could be used to estimate overall survival (OS) in ovarian cancer (OC) patients in The Cancer Genome Atlas (TCGA) dataset and the International Cancer Genome Consortium (ICGC) dataset. This prognostic model was engineered by employing LASSO regression in training cohort (TCGA dataset). The corresponding growth predictive values of this model for individualized survival was evaluated using survival analysis, receiver operating characteristic curve (ROC curve), and risk curve analysis. Combined with clinical characteristics, a model risk score nomogram for OS was well built. Thereafter, depended on the model risk score, patients were divided into high and low risk subgroups. The survival difference between these subgroups was measured using Kaplan-Meier survival method. In addition, correlations containing pathway enrichment, treatment, immune cell infiltration and the prognostic model were also analyzed. We established the ovarian cancer cell line W038 for this study and identified the performances of GBP1P1 knockdown on a series of activities including cellular proliferation, apoptosis, migration, and invasion of W038 cells in vitro. We constructed a 25-genes prognostic model (TNFAIP8L3, PI3, TMEM181, GBP1P1 (LOC400759), STX18, KIF26B, MRPS11, CACNA1C, PACSIN3, GMPR, MANF, PYGB, SNRPA1, ST7L, ZBP1, BMPR1B-DT, STAC2, LINC02585, LYPD6, NSG1, ACOT13, FAM120B, LEFTY1, SULT1A2, FZD3). The areas under the curves (AUC) of 1, 2 and 3 years were 0.806, 0.773 and 0.762, in the TCGA cohort, respectively. Besides, the effectiveness of the model was verified using ICGC testing data. Univariate and multivariate Cox regression analysis exposes the risk score as an independent prognosis predictor for OS both in the TCGA and ICGC cohort. In summary, we utilized comprehensive bioinformatics analysis to build an effective prognostic gene model for OC patients. These bioinformatic results suggested that GBP1P1 could act as a novel biomarker for OC. GBP1P1 knockdown substantially inhibited the proliferation, migration, and invasion of W038 cells in vitro, and increased the percentage of apoptotic W038 cells. The analyses of genetic status of patients with 25-genes model might improve the ability to predict the prognosis of patients with OC and help to select patients suit able to therapies. Immune-related gene GBP1P1 might serve as prognostic biomarker for OC.

Sex differences in cardiovascular outcomes in patients with acute pancreatitis.

The risk of cardiovascular disease increases in patients with acute pancreatitis. However, it remains unknown whether this increase varies between males and females. To assess sex differences in cardiovascular outcomes among acute pancreatitis patients during long-term follow-up. Participants were recruited from the UK-biobank, which is a population-based cohort study consisting of 502 368 individuals aged 40-69 years old. Cardiovascular outcomes were defined as major cardiovascular and cerebrovascular adverse events (MACCE), encompassing all-cause death, myocardial infarction, and stroke. We compared sex difference in MACCE incidence using incidence rate per 1,000 person-years. The association between sex and MACCE risk was assessed using Cox proportional hazards models and win-ratio method, adjusted for demographic, lifestyle, metabolic factors and medication use. A total of 1371 participants with acute pancreatitis were included, 42.5% were male. Over a median follow-up of 13.9 years, 226 MACCE cases occurred. The incidence rate of MACCE for male was 16.44, compared to 9.80 in female. Multivariate Cox regression analysis indicated a higher risk of MACCE in male compared to female (HR 1.80 [95% CI 1.36-2.38]). Adjusted HR for all-cause mortality, myocardial infarction, and stroke were 1.49, 2.75, and 1.67, respectively. The adjusted win ratio by inverse probability of treatment weighting was 0.55 (P <0.001), suggesting a worse outcome in male acute pancreatitis patients. Male experienced more adverse cardiovascular outcomes than female in the long follow-up after acute pancreatitis, suggesting a need for sex-specific management strategies in acute pancreatitis patients.

Predictive value of early-stage postoperative albumin-bilirubin grade on the overall survival of hepatocellular carcinoma patients undergoing resection.

The albumin-bilirubin (ALBI) and ΔALBI grades have attracted substantial attention for their ability to predict the overall survival (OS) of patients with hepatocellular carcinoma (HCC). This retrospective study aimed to evaluate the predictive value of the ALBI grade at different time points for the OS of patients with HCC who underwent surgical resection. The clinical data of patients with HCC who underwent radical resection in our hospital were collected and analyzed. The survival rate was analyzed using the Kaplan-Meier method and log-rank test. The risk factors influencing OS were identified via univariate and multivariate Cox regression analyses. A total of 104 patients with HCC were included in this study. The 1-, 3-, and 5-year OS rates of these patients were 91.3%, 64.0%, and 60.2%, respectively. The OS rates were significantly higher in patients with early-stage postoperative ALBI grade 2 than in those with grade 3 (P < 0.001); however, the preoperative ALBI grade, later-stage postoperative ALBI grade, ΔALBI grade (early stage), or ΔALBI grade (later stage) did not affect the OS rate. Furthermore, resection of ≥3 Couinaud liver segments [hazard ratio (HR) = 4.74; 95% confidence interval (CI), 2.32-9.67; P < 0.001], occurrence of postoperative complications (HR = 2.95; 95% CI, 1.38-6.31; P = 0.005), and early-stage postoperative ALBI grade 3 (HR = 2.50; 95% CI, 1.18-5.31; P = 0.02) were identified as independent risk factors for the OS of patients with HCC. Early-stage postoperative ALBI grade can be used to predict the OS of patients with HCC who have undergone radical hepatectomy. Early-stage postoperative ALBI grade 3, resection of ≥3 Couinaud liver segments, and occurrence of postoperative complications are independent risk factors affecting the OS of these patients.

The combined predictive power of the atherogenic index of plasma and serum glycated albumin for cardiovascular events in postmenopausal patients with acute coronary syndrome after percutaneous coronary intervention

BackgroundGlycated Albumin (GA) and atherogenic index of plasma (AIP) are two important biomarkers that respectively reflect lipid and glucose levels. Previous research has revealed their roles in cardiovascular diseases (CVD) and diabetes. However, their combined predictive ability in forecasting cardiovascular events (CVE) after percutaneous coronary intervention (PCI) among postmenopausal acute coronary syndrome (ACS) patients remains insufficiently studied.MethodsBased on the levels of AIP (AIP-L and AIP-H) and GA (GA-L and GA-H), four groups were used to categorize the patients. The CVE assessed included cardiac death, nonfatal myocardial infarction (MI) and nonfatal stroke. To evaluate the relationship between AIP, GA, and CVE, multivariate Cox regression analyses were performed.Results98 patients (7.5%) experienced CVE during follow-up. AIP and GA were revealed as strong independent predictors of CVE through multivariate analysis (AIP: HR 3.324, 95%CI 1.732–6.365, P = 0.004; GA: HR 1.098, 95% CI 1.023–1.177, P = 0.009). In comparison to those in the initial group (AIP-L and GA-L), the fourth group (AIP-H and GA-H) of patients exhibited the greatest CVE risk (HR 2.929, 95% CI 1.206–5.117, P = 0.018). Derived from the model of baseline risk, the combination of AIP + GA significantly enhanced the AUC, meanwhile combining AIP and GA levels maximized prognostic accuracy in the baseline risk model.ConclusionsThis study found that the combined measurement of AIP and GA significantly enhanced the predictive capability for CVE following PCI in postmenopausal ACS patients. By integrating these two biomarkers, it became possible to more accurately identify high-risk individuals and provided clinicians with new predictive tools for postmenopausal ACS patients in risk assessment and management.

Outcomes for Patients with Metastatic Castration-Resistant Prostate Cancer and Liver Metastasis Receiving [177Lu]Lu-PSMA-617.

It is well known that patients with liver metastasis from metastatic castration-resistant prostate cancer have poor or only transient responses to many forms of systemic therapy. Data on outcomes after treatment with [177Lu]Lu-PSMA-617 (LuPSMA) are scarce. The VISION trial reports a hazard ratio for overall survival (OS) in the subgroup of patients with liver metastasis without disclosing the absolute duration of survival. Using real-world clinical data, we examined this important subgroup of patients, describing prostate-specific antigen (PSA) response and OS. Methods: A single-institution database was assembled to include all patients receiving LuPSMA at Mayo Clinic in Rochester, Minnesota, for whom treatment was initiated between March 2022 and March 2023. Baseline clinicopathologic and imaging characteristics were abstracted. Patients were then categorized by presence or absence of liver metastasis on pretreatment prostate-specific membrane antigen (PSMA) PET. PSA response and OS for the 2 groups (liver metastasis vs. no liver metastasis) were compared using χ2 testing and the Kaplan-Meier method, respectively. A multivariate Cox regression analysis was performed, including established prognostic factors. Finally, those with pretreatment circulating tumor DNA as determined in an 83-gene panel were assessed for the presence of pathogenic and likely pathogenic alterations. These findings were summarized using descriptive statistics and compared between the 2 cohorts using the Fisher exact test. Results: The overall cohort consisted of 273 patients, including 43 (15.75%) with liver metastasis on pretreatment PSMA PET/CT. The median number of cycles received was 3 (range, 1-6) for patients with liver metastasis and 5 (range, 1-6) for those without hepatic involvement. The 50% or greater reduction in PSA from baseline response rate was lower for those with liver metastasis than for those without (30.23% [13/43] vs 49.77% [106/213], P = 0.019). At a median follow-up of 10 mo (interquartile range, 9-13 mo), there was a significant difference in median OS (8.35 mo vs. not reached, P < 0.001). On multivariate analysis, the presence of liver metastasis was independently associated with shorter survival (hazard ratio, 4.06; P < 0.001). Conclusion: Our data suggest that the presence of liver metastasis predicts poorer outcomes in patients receiving LuPSMA treatment. Alternative and combination approaches should be explored to maximize the antitumor activity of radiopharmaceutical therapy in the liver.

Effect of Prone Position Ventilation in Patients with Severe Craniocerebral Injury Complicated with Pulmonary Infection

Objective: To investigate the effects of prone ventilation in patients with severe traumatic brain injury combined with pulmonary infection. Methods: A total of 100 patients with severe traumatic brain injury combined with pulmonary infection in the hospital were randomly divided into a prone ventilation group and a conventional ventilation group, with 50 patients in each group. The Glasgow Coma Scale (GCS) score, APACHE II score, sputum culture results, oxygenation indicators, and prognosis were compared between the two groups. Data were processed using SPSS 25.0 statistical software, and t-tests and chi-square tests were used to compare continuous and categorical variables, respectively. Results: The experimental group showed better oxygenation indicators, a lower positive rate of sputum cultures, and reduced intracranial pressure compared to the control group (all P &lt; 0.05). Multivariate Cox regression analysis indicated that GCS score, APACHE II score, and prone ventilation were independent risk factors affecting patient prognosis (all P &lt; 0.05). Conclusion: Prone ventilation can improve oxygenation, reduce the risk of pulmonary infection, and decrease intracranial pressure in patients with severe traumatic brain injury combined with pulmonary infection, thereby improving patient prognosis. GCS score and APACHE II score can serve as important indicators for prognostic evaluation.

Baseline inflammatory status affects the prognostic impact of statins in patients with peripheral arterial disease

BackgroundStatins bring favourable effects on the clinical prognosis of patients with atherosclerotic disease partly through their anti-inflammatory properties. However, this effect has not been fully verified in patients with peripheral arterial disease (PAD). We aimed to test whether statins exert different prognostic effects depending on the degrees of inflammation in patients with PAD. MethodsThis study was a sub-analysis of a multicenter prospective cohort of 2321 consecutive patients with PAD who received endovascular therapy (EVT). After excluding patients without information on C-reactive protein (CRP) levels at the time of index EVT, 1974 patients (1021 statin users and 953 non-users) were classified into four groups depending on CRP levels: low CRP (<0.1 mg/dL), intermediate-low CRP (0.1–0.3 mg/dL), intermediate-high CRP (0.3–1.0 mg/dL), and high CRP (>1.0 mg/dL). A composite of death, stroke, myocardial infarction, and major amputation as the primary endpoint was compared between statin users and non-users in each CRP category. ResultsDuring the median observation period of 316 days, the primary composite endpoint occurred in 112 (11.0 %) statin users and 178 (18.7 %) non-users (log-rank test, p < 0.001). However, statin therapy was associated with significantly lower event rates only in the intermediate-high- and high-CRP categories (p = 0.02 and p = 0.008, respectively). Multivariable Cox regression analysis revealed that statin use was independently associated with the primary endpoint only in the high-CRP category (adjusted hazard ratio: 0.64 [95 % confidence interval: 0.41–0.98]). ConclusionStatins may exert favourable prognostic effects in patients with PAD and highly elevated CRP levels.

Association of plain water intake with risk of all-cause and cause-specific mortality in individuals with non-alcoholic fatty liver disease or metabolic dysfunction-associated steatotic liver disease.

Non-alcoholic fatty liver disease (NAFLD) or metabolic dysfunction-associated steatotic liver disease (MASLD)-related mortality have increased dramatically in past decades. Our study aims to investigate the association between plain water and this prevalent metabolic disease, as water plays a crucial role in regulating metabolic processes. A total of 3,543/3,428 individuals with NAFLD/MASLD were included in this study from National Health and Nutrition Examination Survey (NHANES). Daily plain water intake was recorded, and mortality status was tracked until December 31, 2019. Multivariate Cox regression models and restricted cubic spline (RCS) regression models were used to assess the association between plain water intake and long-term all-cause as well as cause-specific mortality among participants with NAFLD/MASLD. Furthermore, we investigated the relationship between substituting other beverages with plain water intake and the risk of mortality. The multivariate Cox regression analyses revealed a significant association between higher plain water intake and lower all-cause mortality, cerebrovascular diseases mortality, and cancer mortality in both NAFLD or MASLD patients. Dose-response analyses revealed a non-linear trend between plain water intake and mortality among NAFLD/MASLD patients. Additionally, replacing sugar or artificial beverages with plain water was linked to reduced all-cause mortality, cerebrovascular diseases mortality, and cancer mortality in patients with NAFLD/MASLD. Higher plain water intake is independently linked to lower risk of all-cause, cerebrovascular diseases mortality, and cancer mortality in NAFLD/MASLD patients. Increasing plain water intake may be an effective way for these patients to reduce their risk of mortality.

Clinical results of helical tomotherapy for high-grade gliomas

Introduction Radiotherapy-related damage of normal tissue inevitably influences the treatment outcomes in the context of high-grade gliomas (HGGs) treatment. We reported the survival outcomes and toxicities of patients with HGG treated with helical tomotherapy (HT) and the prognostic factors were analyzed. Materials and methods A total of 67 patients (29 had grade III and 38 had grade IV HGGs) who received HT between January 2016 and June 2020 were analyzed. Overall survival (OS) and progression-free survival (PFS) from the beginning of HT and OS from surgery were assessed, and toxicity and disease control were described briefly. Results For patients with grade III HGGs, median OS (mOS) and median PFS (mPFS) from the beginning of HT were 68.933 and 62.967 months, respectively. For patients with grade IV HGGs, mOS and mPFS from the beginning of HT were 19.667 and 7.23 months, respectively. No grade ≥3 acute or late nonhematologic toxicities were observed. Multivariable Cox regression analysis showed that methylguanine methyltransferase (MGMT) methylated status, age, number of lesions, WHO grade, and monocyte count for PFS were significant. Age, monocyte count, and isocitrate dehydrogenase (IDH) status for OS. Conclusion Treatment of HGGs with HT appears to be potentially effective and safe. HT is promising for glioblastomas (GBM), especially complex cases with infratentorial involvement or multiple lesions. This study highlighted the potential clinical significance of systemic inflammation indicators in predicting survival and disease progression.

Chest Wall Hydatid Disease: Surgical management and risk Factors for Recurrence and Mortality

Background Hydatidosis of the thoracic wall differs from other hydatid localizations in its pathophysiology, diagnostic, and therapeutic management. It is a little-studied entity. The objectives of our work were to describe its surgical management and to analyze the factors that may influence recurrence and mortality. Methods A retrospective, descriptive, longitudinal, and multicenter study on four university hospital surgical centers of Tunis, from January 1995 to December 2022 including operated hydatid cysts of the thoracic wall. Overall survival (OS) and cumulative recurrence rates were calculated. Univariate and multivariable Cox regression analyses were performed to identify recurrence and mortality risk factors. Results Forty-nine patients were included. The mean age was 41 ± 17 years [8-76]. The main presenting sign was thoracic parietal swelling (n=22). Chest ultrasound and CT scan showed multivesicular formation in 17 and 33 cases, respectively. Muscle involvement was in the intercostal (n=4), paravertebral (n=13), and pectoralis major (n=3) muscles. Bone involvement was vertebral (n=11), costal (n=12), costo-vertebral (n=21) and sternal (n=2). A posterolateral thoracotomy was performed (n=20). Surgical excision at various levels of the chest wall with spinal stabilization (n=15) was performed. Sixty-three percent of the patients received antiparasitic medical treatment. Recurrence occurred in 37% of cases. Four patients died from hydatidosis-related complications. Factors could be independently associated with recurrence such as male gender, and vertebral involvement. The presence of a visceral hydatid cyst located at a distance from the parietal lesion at the time of diagnosis and the occurrence of postoperative infectious complications could increase mortality. Conclusions Chest wall hydatidosis represents a rare medical condition where surgery remains the preferred treatment modality. However, it carries a substantial burden of morbidity and mortality, influenced by various factors. Further large-scale studies are necessary to gain a deeper understanding of these factors and to optimize management strategies accordingly.

Influence of Right and Left Bundle Branch Block in Patients With Cardiogenic Shock and Cardiac Arrest.

The study investigates the prognostic impact of right bundle branch block (RBBB) and left bundle branch block (LBBB) in patients with cardiogenic shock (CS) compared with no bundle branch block (BBB). In patients with heart failure, existence of RBBB and LBBB has influence on prognosis. Prospective registry-study. ICU of a tertiary academic hospital in Germany. Adult patients with CS. None. Consecutive patients with CS were included. The prognostic impact of RBBB and LBBB on 30-day all-cause mortality was tested within the entire cohort and in the subgroup of CS patients with cardiac arrest at admission. The final study cohort comprised 248 patients. Patients with RBBB showed the highest 30-day all-cause mortality followed by LBBB and no BBB (72.5% vs. 52.9% vs. 50.0%; log-rank p = 0.015). These findings were consistent even after solely including CS patients with cardiac arrest (90.0% vs. 73.3% vs. 62.2%; log-rank p = 0.008). After adjustment for lactate, norepinephrine, troponin I, Acute Physiology Score, Society of Cardiovascular Angiography & Interventions shock stage, and heart rate in a multivariable Cox regression analysis, RBBB still revealed a negative impact on 30-day all-cause mortality (hazard ratio [HR], 1.807; 95% CI, 1.107-2.947; p = 0.018), whereas LBBB was not associated with 30-day all-cause mortality. In this multivariable Cox regression model lactate (HR, 1.065; 95% CI, 1.018-1.115; p = 0.006), troponin I (HR, 1.003; 95% CI, 1.001-1.005; p = 0.001), and Acute Physiology Score (HR, 1.033; 95% CI, 1.001-1.066; p = 0.041) were as well associated with 30-day all-cause mortality. Finally, no association of RBBB was found with the incidence of liver or severe renal failure. Besides the Acute Physiology Score, lactate, and troponin levels, RBBB was associated with an increased 30-day all-cause mortality in consecutive CS patients with and without cardiac arrest, whereas LBBB showed no prognostic impact.

The association between age at natural menopause and risk of asthma among postmenopausal women from the Canadian Longitudinal Study on Aging.

This study aimed to investigate the association between age at natural menopause and incidence of asthma among postmenopausal Canadian women. Women between the ages of 45-85 yr were followed for a 10-yr period. Analysis was restricted to naturally postmenopausal women who are nonsmokers and did not have asthma prior to menopause. Age at natural menopause was examined using the following categories: 40-44, 45-49, 50-54 (reference), and ≥55. Survival analysis was utilized to determine time to onset of asthma. Multivariable Cox regression analysis was performed to assess the relationship between age at natural menopause and asthma after adjusting for covariates. The multivariable Cox regression analysis showed a 30% decreased risk of asthma in women with age at natural menopause of 40-44 yr compared with age at natural menopause of 50-54 yr with a hazard ratio of 0.7 (95% confidence interval: 0.49-0.95). Women with later ages at natural menopause may be at increased risk for asthma.

Comprehensive Analysis of Prognostic Alternative Splicing Signatures in Tumor Immune Infiltration in Bladder Cancer.

Bladder cancer exhibits substantial heterogeneity encompassing genetic expressions and histological features. This heterogeneity is predominantly attributed to alternative splicing (AS) and AS-regulated splicing factors (SFs), which, in turn, influence bladder cancer development, progression, and response to treatment. This study aimed to explore the immune landscape of aberrant AS in bladder cancer and establish the prognostic signatures for survival prediction. Bladder cancer-related RNA-Seq, transcriptome, and corresponding clinical information were downloaded from The Cancer Genome Atlas (TCGA). Gene set enrichment analysis (GSEA) was used to identify significantly enriched pathways of cancer-related AS events. The underlying interactions among differentially expressed genes (DEGs) and cancer-related AS events were assessed by a protein-protein interaction network. Univariate and multivariate Cox regression analyses were performed to identify crucial prognostic DEGs that co-occurred with cancer-related AS events (DEGAS) for overall survival. The area under the curve (AUC) of receiver operating characteristic (ROC) curves was used to assess the efficiency of the prognostic signatures. The CIBERSORT algorithm was used to explore the abundance of immune infiltrating cells. A total of 3755 cancer-related AS events and 3110 DEGs in bladder cancer were identified. Among them, 379 DEGs co-occurred with cancer-related AS events (DEGAS), of which 102 DEGAS were associated with 14 dysregulated SFs. GSEA and KEGG analysis showed that cancer-related AS events were predominantly enriched in pathways related to immunity, tumorigenesis, and treatment difficulties of bladder cancer. Multivariate Cox regression analysis identified 8 DEGAS (CABP1, KCNN2, TNFRSF13B, PCDH7, SNRPA1, APOLD1, CX3CL1, and DENND5A) significantly associated with OS, and they were further integrated into the prediction model with good AUCs at 3-year, 5-year and 7-year ROC curves (all>0.7). Immune infiltration analysis revealed the significant enrichment of three immune cell types (B cells naïve, dendritic cells resting, and dendritic cell activated) in high-risk bladder cancer patients. This study not only unveiled comprehensive prognostic signatures of AS events in bladder cancer but also established a robust prognostic model based on survival-related DEGAS. These aberrant AS events, dysregulated SFs, and the identified 8 DEGAS may have significant clinical potential as therapeutic targets for bladder cancer.

A multidimensional analysis of the impact of obesity on immune checkpoint inhibitor therapy efficacy

BackgroundObesity is a well-known risk factor for developing malignant tumors and promoting tumor cell growth and spread. However, recent studies have shown that obese cancer patients, who typically have a worse prognosis than nonobese cancer patients, show a significant improvement in survival after receiving immune checkpoint inhibitor (ICI) therapy. This phenomenon is known as the “obesity paradox”. However, this phenomenon is influenced by tumor type and sex. Therefore, this study aimed to explore the impact of obesity on immunotherapy efficacy from multiple perspectives, aiming to verify this paradox and provide new scientific evidence on the effect of obesity on ICI efficacy.MethodsThis retrospective study evaluated the data of patients who received ICI therapy between June 2019 and August 2023. Automatic segmentation of skeletal muscle, subcutaneous fat, and visceral fat was performed using Slice-O-Matic software, and the corresponding skeletal muscle index (SMI), subcutaneous fat index (SFI) and visceral fat index (VFI) were calculated. The neutrophil-to-lymphocyte ratio (NLR) was determined by dividing the neutrophil count by the lymphocyte count. Univariate and multivariate Cox regression analyses were used to evaluate the correlation between body mass index (BMI), body composition parameters, and the NLR with overall survival (OS) and progression-free survival (PFS) in obese patients receiving ICI therapy.ResultsWe analyzed 219 patients with a median age of 60 years (IQR 53–69 years; 155 men and 64 women). Obese patients, particularly those with visceral fat accumulation, exhibited extended OS after ICI therapy (log­rank P = 0.027). Cox multivariate analysis revealed that the NLR (HR = 1.036; 95% CI: 0.996 to 1.078; P = 0.002) was independently associated with OS. Patients with a high NLR had worse OS than those with a low NLR.ConclusionsThis study corroborates the veracity of the "obesity paradox" under specific conditions and identifies NLR as an independent prognostic factor, with elevated NLR indicative of a poor prognosis.

Is pulmonary vascular remodeling an intermediate link between hyperglycemia and adverse outcomes in patients with idiopathic pulmonary arterial hypertension? Insights from a multi-center cohort study

BackgroundHyperglycemia upon admission is associated with poor prognosis of many cardiovascular diseases. However, the relationship of stress hyperglycemia ratio (SHR), admission blood glucose (ABG), and hemoglobin A1c (HbA1c) with pulmonary hypertension has not been reported. This study aimed to explore the association of hyperglycemia indices with disease severity and long-term adverse outcomes in patients with idiopathic pulmonary arterial hypertension (IPAH).MethodsThis multi-center cohort study included 625 consecutive patients diagnosed with or treated for IPAH between January 2015 and June 2023. SHR was calculated using the followings: ABG (mmol/L)/(1.59 × HbA1c [%] − 2.59). The primary endpoint was defined as clinical worsening events. Multivariable Cox regression and restricted cubic spline analyses were employed to evaluate the association of SHR, ABG, and HbA1c with endpoint events. The mediating effect of pulmonary hemodynamics was evaluated to investigate the potential mechanism between hyperglycemia and clinical outcomes.ResultsDuring a mean follow-up period of 3.8 years, 219 (35.0%) patients experienced all-cause death or clinical worsening events. Hyperglycemia indices correlated with well-validated variables that reflected the severity of IPAH, such as the World Health Organization functional class, 6-min walk distance, and N-terminal pro-brain natriuretic peptide levels. Multivariable Cox regression analyses indicated that SHR (hazard ratio [HR] 1.328, 95% confidence intervals [CI]: 1.185, 1.489 per 0.1-unit increment, P < 0.001) and ABG (HR 1.317, 95% CI: 1.134, 1.529 per 1.0-unit increment, P < 0.001) were independent predictors of primary endpoint events. Mediation analysis indicated that pulmonary vascular resistance mediated 5.65% and 14.62% of the associations between SHR and ABG and clinical worsening events, respectively. The addition of SHR significantly improved reclassification, discrimination ability, and model fit beyond the clinical risk prediction model.ConclusionsSHR is positively associated with clinical worsening in patients with IPAH. The association appeared to be partially mediated through the pathway of pulmonary vascular remodeling, indicating that SHR may serve as a valuable indicator for providing additional risk information.