Cox Proportional Models Research Articles

Dietary protein intake and PM2.5 on ovarian cancer survival: A prospective cohort study.

Evolving evidence suggests both protein consumption and particulate matter less than 2.5 micrometers (PM2.5) might be related to ovarian cancer (OC) mortality. However, no epidemiological studies have explored their potential interaction. The objective of this study was to explore the association of dietary protein, PM2.5, and their interaction with the survival of OC patients. A prospective cohort study was carried out, which encompassed 658 newly diagnosed OC patients (18-79 years) residing in China. Dietary protein intakes were collected through a food frequency questionnaire examination, including total protein and protein from diverse sources. Average residential PM2.5 concentrations were evaluated using satellite-derived models. We calculated the hazard ratio (HR) and its 95 % confidence interval (CI) by adjusting for multiple variables using Cox proportional risk models. By assessing the relative excess risk due to interaction (RERI) arising from the interplay between PM2.5 exposure and dietary protein intake, we explored the additive interaction between the two. Multiplicative interaction was assessed through a cross-product interaction term. During a median follow-up of 37.60 months, 123 deaths were documented. As for all-cause mortality, the multivariate-adjusted HRs (95 % CIs) in the highest vs. the lowest tertile were 0.57 (0.35-0.93), 0.60 (0.36-0.99), and 0.58 (0.37-0.90) for intakes of fish, egg, as well as fruit/vegetable protein, respectively (all P for trend < 0.05). A positive association between PM2.5 exposure and all-cause mortality was observed (HR=1.52; 95 % CI: 1.13-2.05, per interquartile range increment). Notably, dietary fish, egg, and fruit/vegetable protein modified these associations, as patients with lower intakes had significantly higher PM2.5-related mortality in the cohort (all P for interaction < 0.05). This study provides evidence linking the potential interactions between dietary fish, egg, and fruit/vegetable protein intake and PM2.5 exposure on all-cause mortality of OC patients. Our study demonstrates the importance of adherence to a certain protein diet in reducing PM2.5-related mortality risk for OC patients.

Triglyceride-glucose index in predicting the risk of new-onset diabetes in the general population aged 45 years and older: a national prospective cohort study

ObjectiveInsulin resistance (IR) is often present in diabetes, which imposes a heavy burden on the prevention and treatment of diabetes. Triglyceride glucose index (TyG) is simple, reliable and reproducible in detecting IR, and has great advantages in predicting the risk of diabetes. The aim of this study was to analyze the potential association between TyG and the risk of diabetes in Chinese middle-aged and older adults using a prospective cohort study design.MethodsThis study used longitudinal data from five waves of the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2011, 2013, 2015, 2018, and 2020, involving 5886 participants. We used Cox proportional risk regression modeling to investigate the association between TyG index and the risk of new-onset diabetes, and decision tree analysis to identify high-risk groups for diabetes. Finally, ROC curves were applied in order to construct a predictive model for diabetes.ResultsA total of 1054 (17.9%) participants developed diabetes throughout the 9-year follow-up. Our study utilized a multivariate Cox proportional risk regression model and found a significant correlation between TyG index and diabetes risk. The analysis also revealed a nonlinear relationship between TyG index and diabetes risk.Receiver Operating Characteristic(ROC) curve analysis showed that the Area under the curve(AUC) area of TyG index in predicting the risk of new-onset diabetes was 0.652 (P < 0.05).ConclusionsTyG index can be used as a risk factor for predicting new-onset diabetes in the middle-aged and elderly population in China. In addition, there was a nonlinear relationship between TyG index and diabetes. Improving insulin resistance by regulating glucose and lipid metabolism plays an important role in the primary prevention of diabetes.

The Association Between Metabolic Syndrome and the Risk of Endometrial Cancer in Pre- and Post-Menopausal Women: A UK Biobank Study

Background: Metabolic syndrome (MetS) is a syndrome that comprises central obesity, increased serum triglyceride (TG) levels, decreased serum HDL cholesterol (HDL) levels, raised blood pressure (BP), and impaired glucose regulation, including prediabetic and diabetic glycaemic levels. Recently, the association with endometrial cancer (EC) has been described but it is unclear if the risk associated with MetS is higher than the individual effect of obesity alone. This study investigates the association between MetS components and differing MetS definitions on EC risk and compares the risk of MetS with the risk posed by obesity alone. It also analyses how MetS affects the risk of EC development in the pre- and post-menopausal subgroups. Methods: A prospective cohort study was undertaken using data from the UK biobank. Multivariable Cox proportional risk models with the time to diagnosis (years) were used to estimate the hazard ratio (HR) and 95% confidence interval (CI) of MetS and its components on the risk of EC. A subgroup analysis was also undertaken for pre- and post-menopausal participants. Kaplan–Meier (KM) was undertaken to assess the difference in the risk of EC development in differing BMI classes, and in pre- and post-menopausal subgroups. Results: A total of 177,005 females from the UK biobank were included in this study. Of those participants who developed EC (n = 1454), waist circumference &gt; 80 cm, BMI &gt; 30 kg/m2, hypertension &gt; 130/80 mmHg, hyperlipidaemia and diabetes (HbA1C &gt; 48 mmol/L were significant predictors of EC development, with waist circumference being the strongest predictor (HR = 2.21; 95% CI: 1.98–2.47, p &lt; 0.001). Comparing the pre- and post-menopausal subgroup, hypertriglyceridaemia and diabetes were the strongest predictors of EC in the pre-menopausal subgroup (HR = 1.53; 95% CI: 1.18–1.99 and HR = 1.51; 95% CI: 1.08–2.12, p &lt; 0.05, respectively). Raised waist circumference was not a significant independent predictor in the pre-menopausal subgroup. A KM curve analysis showed a clear distinction between those with and without MetS in the pre-menopausal group, suggesting a benefit of testing for MetS components in pre-menopausal women with obesity. Conclusions: Components of MetS, both independently and in combination, significantly increase the risk of EC. Screening those with obesity for MetS in their pre-menopausal years may help to identify those at the highest risk.

Correlation between atherogenic index of plasma and cardiovascular disease risk across Cardiovascular–kidney–metabolic syndrome stages 0–3: a nationwide prospective cohort study

BackgroundThe Cardiovascular–kidney–metabolic (CKM) syndrome, a concept recently proposed by the American Heart Association (AHA), highlights the intricate connection between metabolic, renal, and cardiovascular illnesses. Furthermore, the Atherogenic Index of Plasma (AIP), a useful biomarker for evaluating the risk of Cardiovascular Diseases (CVDs), has been associated with the risk of Adverse Cardiovascular Events (ACEs). Nonetheless, its precise function in populations in CKM syndrome Stages 0–3 remains unknown.MethodsThis prospective study analyzed the data of 7,708 eligible participants (aged ≥ 45 years) from the Chinese Longitudinal Research of Ageing (CHARLS), particularly the 2011–2012 baseline survey (Wave 1). The primary exposure variable was AIP—a natural logarithm of the ratio of Triglycerides (TGs) to High-Density Lipoprotein Cholesterol (HDL-C). On the other hand, the primary endpoint was CVD incidence, which was determined based on self-reported past diagnoses. The relationship between AIP and CVD risk in the population in CKM syndrome stages 0–3 was examined using a Cox proportional risk model. Subgroup and mediation analyses were performed to further elucidate the interactions among these factors.ResultsThis study involved 7,708 participants in the CKM syndrome stages 0–3 [Mean age = 58.00 years; Interquartile Range (IQR) = 52.00–65.00 years]. The risk of developing CVD increased significantly with higher AIP levels. Specifically, the risk ratio for each unit increase in AIP was 1.31 (95% CI 1.11–1.55), while the Hazard Ratio (HR) for the group with the highest AIP levels compared to the group with the lowest AIP levels was 1.22 (95% CI 1.08–1.39). Mediation analysis revealed that metabolic syndrome accounted for 12.3% of the association between AIP levels and CVD risk (p = 0.024), highlighting its significance in CVD risk assessment.ConclusionHerein, AIP levels correlated significantly positively with CVD risk in individuals in CKM stages 0–3, with metabolic syndrome as a key mediating factor. These findings suggest that AIP levels could be valuable not only for CVD risk assessment but also for clinical screening.

Mortality-related risk factors of carbapenem-resistant Enterobacteriaceae infection with focus on antimicrobial regimens optimization: a real-world retrospective study in China

ObjectivesTo determine the mortality-related risk factors for carbapenem-resistant Enterobacteriaceae (CRE) infection in hospitalized patients and to compare the clinical efficacy of different antimicrobial regimen.MethodsData were retrospectively collected from a 3,500-bed regional medical center between January 2021 and June 2022. Mortality-related risk factors were analyzed by the Cox proportional regression model for multivariate analysis.Results120 patients were included and the all-cause mortality was 20.8% (25/120). Multivariate analysis showed that age (HR = 1.035, 95%CI: 1.002–1.070, P = 0.036), SOFA score (HR = 1.169,95%CI: 1.066–1.281, P = 0.001), central venous catheter (HR = 3.858, 95%CI: 1.411–10.547, P = 0.009), the length of hospital stay (HR = 0.868, 95% CI: 0.806–0.936, P = 0.000) and combination therapy (HR = 3.152, 95%CI: 1.205–8.245, P = 0.019) were independent mortality risk factors after CRE infection. All patients received definitive therapy and 65.0% (78/120) received sensitive drug treatment. Among those 65.4% (51/78) received combination therapy and 34.6% (27/78) received monotherapy. Subgroup analysis of the non-sepsis group showed significantly lower mortality in monotherapy than in combination therapy (0% versus 22.2%, P = 0.034). Patients who received carbapenem-containing therapy had significantly higher mortality than those who received carbapenem-sparing therapy (31.3% versus 13.9%, P = 0.022). CAZ-AVI-containing therapy presented a lower mortality (19.0%) and a higher 7-day microbiological clearance (47.6%) compared to other antimicrobial regimens, but there were no statistical significance (P>0.05).ConclusionsPatients with older age, higher SOFA score, central venous catheter, shorter hospital stay after CRE infection may had poor outcomes. Since patients with non-sepsis have a lower mortality rate from monotherapy, combination antibiotic treatment should not be routinely recommended. Patients who received CAZ-AVI-containing therapy presented a lower mortality compared to other antimicrobial regimens without statistical significance, further larger sample size is needed for verification.

Association of Influenza Vaccination During Pregnancy with Health Outcomes in Mothers and Children: A Population-Based Cohort Study.

Immunization rates of maternal influenza vaccination during pregnancy remain suboptimal, with concerns about potential harm to the mothers and their offspring. We conducted a population-based cohort study, using mother-child linked database in Korea: (a) maternal cohort between December 2019, and March 2022; (b) neonatal cohort between September 2020, and June 2021. Exposure was defined as influenza vaccination during pregnancy. Study outcomes included gestational outcomes, vaccine-related adverse events, and other health outcomes in mothers and childbirth and immune-related health outcomes in children. After 1-to-1 propensity score matching using diverse potential confounders, effect estimates with 95% confidence intervals were estimated using the log-binomial model for cumulative outcomes and the Cox proportional model for time-to-event outcomes. After 1-to-1 propensity score matching, we identified 174,008 and 53,344 pairs for the maternal and neonatal cohorts, respectively. In the maternal cohort, influenza vaccination during pregnancy was not associated with preeclampsia, antenatal bleeding, and various adverse outcomes, including neurological, vascular, blood, and lymphatic system disorders, except for marginally elevated risks of gestational diabetes mellitus (effect estimate 1.06, 95% confidence interval 1.05 to 1.08) and postpartum hemorrhage (1.05, 1.01 to 1.08). In the neonatal cohort, maternal influenza vaccination did not increase risks of childbirth (e.g., preterm/low birth weight, congenital malformations, mortality) and immune-related outcomes, except for a slightly increased risk of lower respiratory tract infection (1.06, 1.007 to 1.12). In this population-based cohort study, influenza vaccination during pregnancy was not associated with an increased risk of a range of adverse outcomes in mothers and their offspring.

DOP086 Burden of depression and anxiety among patients with pediatric-onset Inflammatory Bowel Diseases: A nationwide study from the epi-IIRN

Abstract Background Data regarding burden of depression and anxiety in pediatric-onset inflammatory bowel diseases (PIBD) are limited. We aimed to study the prevalence of depression and anxiety in a nationwide cohort of PIBD Methods Data were retrieved from the epi-IIRN, a nationwide cohort of the 4 Israeli Health Maintenance Organizations covering 98% of the population from 2005. We matched PIBD children to non-IBD controls for calculating time to depression/anxiety. Patients with depression/anxiety prior to IBD diagnosis were excluded. Poor disease course (PDC) was defined as IBD-related surgery, steroid-dependency, or need for more than one biologic class. A time-dependent Cox-proportional-hazard-ratio model was fit to examine predictors of the development of depression/anxiety over time. Inverse probability weights (IPW) were calculated to estimate the probability that an individual will develop depression at each time point within an individual follow up period Results In total, 4,960 PIBD cases were included [mean age 13.4±3.8 years; 3,304 (67%) with Crohn's disease (CD) and 1,656 (33%) ulcerative colitis (UC)], translating into 32,700 person-years of follow-up. These were individually matched to 4,806 non-IBD children. In a univariable Cox proportional regression model, PIBD was associated with overall anxiety/depression compared to controls (HR=1.9 95%CI 1.7-2.2). The probability of depression/anxiety was higher in PIBD patients vs controls at 3 (6% vs 2.5%) and 10 years (17.5% vs 10.2%; p&amp;lt;0.001, Figure 1). There were no differences in the probability of depression/anxiety between patients with UC and CD (HR=0.96 95%CI 0.81-1.1, p=0.62). In multivariable Cox proportional regression model in patients with CD; perianal disease [HR=1.5 (95%CI 1.3-2)], need for &amp;gt;1 biologic class, [HR=1.6 (95%CI 1.03-2.63)], and hospitalizations [HR=1.4 (95%CI 1.1-1.9)] were associated with developing anxiety/depression. Risk for anxiety/depression was lower among patients after CD related surgery compared with those who did not undergo surgery [HR 0.5 (95%CI 0.28-0.99)]. For patients with UC, steroid dependency was associated with anxiety/depression [HR 1.5, (95%CI 1.05-2.1)]. Figure 1 (Depression free survival probability) Conclusion Our study highlights the substantial burden of depression/anxiety in PIBD and identifies risk factors for these conditions. These findings emphasize the need for mental health monitoring and early intervention in this vulnerable population

P0248 Insomnia as a determinant of poor IBD disease course

Abstract Background Insomnia is one of the most common sleep disorders, affecting up to 30% of the adult population worldwide. Sleep disorders can have a marked impact on immune functions and inflammation, including in patients with inflammatory bowel diseases (IBD) in both active and inactive disease states. Whether insomnia preceding IBD flares affects clinical outcomes is unknown. We examined the association between insomnia and IBD-related outcomes in adults diagnosed with of Crohn’s disease (CD) or ulcerative colitis (UC). Methods A retrospective, real-world, cohort study utilizing the Lynx MD’s electronic medical record dataset, provided by a US-based community gastroenterology practice. Deidentified patient charts were analyzed to identify patients with a confirmed diagnosis of IBD (either CD or UC). Eligibility criteria included: ≥3 diagnoses of IBD, ≥1 diagnoses of IBD and: histopathologic diagnosis of IBD; or IBD related surgery; or ≥ 3 months of treatment with standard accepted therapies for IBD; and ≥3 years of follow-up. IBD-related events of hospitalization and/or surgery were recorded. The cohort was classified into two groups based on insomnia diagnosis, prior to IBD related hospitalizations or surgeries. We implemented Cox Proportional Regression models to estimate Hazard Ratios for the IBD-related outcomes. Results Among 20,011 patients with IBD, 10,775 (54%) were women, at a mean age of 48.2 ± 18.2 years old, 11,842 (59%) were diagnosed with UC and 8,169 (41%) with CD. Over 3,100 patients (16%) were diagnosed with insomnia prior to the first IBD related hospitalization or surgery. In an unadjusted model, insomnia was significantly associated with IBD-related hospitalizations - hazard ratio (HR) of 1.43 (95% CI 1.28, 1.59) and IBD related surgeries - HR of 1.42 (95% CI 1.12, 1.81). After adjustment for age, sex, race, body mass index, anxiety and type of IBD (CD vs. UC), IBD-affected patients with insomnia had a higher HR of hospitalization and surgery: HR of 1.35 (95% CI 1.2,1.51) and 1.29 (95% CI 1.01,1.66), respectively, compared to those without insomnia. Conclusion In a large real-life dataset of patients with IBD, we found higher rates of IBD-related hospitalizations and surgeries among patients with comorbid insomnia, suggesting that insomnia may be associated with a more severe course of IBD.

Exploring the Effects of Opioid-Related Drugs on the Clinical Outcome of Prostate Cancer Patients Via Integrated Bioinformatics Analysis.

Opioids are the primary regimens for perioperative analgesia with controversial effects on oncological survival. The underlying mechanism remains unexplored. This study developed survival-related gene co-expression networks based on RNA-seq and clinical characteristics from TCGA cohort. Two survival-related networks were identified, and drug-induced transcriptional profiles were predicted. Immune cell infiltration algorithm, least absolute shrinkage and selection operator (LASSO) regression, and cox proportional models were executed to explore the correlation between opioid-related drugs and prostate cancer patient prognosis. The opioid receptor agonists, represented by tramadol, were evidenced for anti-survival effects on prostate cancer by facilitating the DNA replication and cell cycle, and immune cell infiltration. Conversely, opioid receptor antagonists showed pro-survival effects. A novel prognostic model containing CNIH2, MCCC1, and Gleason scores was established and validated in two independent cohorts. This study revealed opioids' effect on prostate cancer progression, and provided a novel model to predict these regulations in clinical outcomes.

A lower atherogenic index of plasma was associated with a higher incidence of sarcopenia

Sarcopenia is an age-related muscle senescence disease that leads to functional limitations, physical disability and premature death in older adults. Atherogenic index of plasma (AIP) is a novel indicator of atherosclerotic status based on triglycerides and high-density lipoprotein cholesterol. The aim of this study was to investigate the association between AIP and new-onset sarcopenia and its components among middle-aged and older adults in a Chinese community. This cohort study included 7,992 participants who were free of sarcopenia in 2011 in the China Health and Retirement Longitudinal Study and were followed up in 2013 and 2015. Sarcopenia was assessed using the recommendations of the Asian Working Group for Sarcopenia 2019. Longitudinal associations between AIP and sarcopenia and its components were assessed using Cox proportional risk regression modeling. The results showed that AIP was negatively associated with sarcopenia [HR and 95% CI: 0.73 (0.62–0.86)]; with muscle mass [β and 95%CI: 0.49 (0.4–0.57)], skeletal muscle mass index [β and 95%CI: 0.17 (0.15–0.2)], and grip strength [β and 95% CI: 0.17 (0.15–0.2)] being positively correlated. A lower AIP was associated with a lower muscle mass and handgrip strength and higher incidence of sarcopenia. Regular measurement of AIP in the middle-aged and older population in the community can help in the early diagnosis and intervention of sarcopenia.

Sarcopenia is not associated with hypertension, but sarcopenic obesity increases risk of hypertension: a 7-year cohort study

BackgroundSarcopenia, sarcopenic obesity, and hypertension are all widespread public health problems in middle-aged and older populations, and their association is controversial. The purpose of this study is to analyze the relationship between obesity, sarcopenia, and sarcopenic obesity with hypertension in a middle-aged and older community population in China through a large-scale longitudinal design.MethodsIn this cohort study with 7 years of follow-up, the study population was drawn from participants in the China Health and Retirement Longitudinal Study (CHARLS) in 2011 and followed up in 2013, 2015, and 2018. The diagnostic criteria for sarcopenia were based on the consensus recommendations issued by the Asian Working Group for Sarcopenia (AWGS) in 2019. The diagnosis of obesity is based on body mass index and waist circumference. Sarcopenic obesity is defined as the coexistence of sarcopenia and obesity. Cox proportional risk regression models were used to analyze the association of obesity, sarcopenia, and sarcopenic obesity with hypertension.ResultsA total of 7,301 participants with a mean age of 58 ± 8.8 were enrolled in the study, and 51.9% females. A total of 1,957 participants had a new onset of hypertension after 7 years of follow-up. In a multifactorial analysis, obesity and sarcopenic obesity were associated with hypertension; hazard ratios (HRs) and 95% confidence intervals (CIs) were 1.67 (1.43 ~ 1.96), p &amp;lt; 0.001, and 1.61 (1.09 ~ 2.37), p = 0.017. Sarcopenia and hypertension were not significantly associated; the HR and 95% CI were 1.17 (0.9 ~ 1.52), p = 0.23.ConclusionThere is no significant correlation between sarcopenia and hypertension, but obesity and sarcopenic obesity increase the risk of hypertension. Targeted management of middle-aged and older people with sarcopenic obesity is needed in public health efforts.

Social isolation and loneliness increase the risk of coronary heart disease: Insights from a prospective cohort study.

Social isolation and loneliness are associated with an increased risk of various diseases and all-cause mortality. Coronary heart disease (CHD) is the main cause of heart disease deaths worldwide, which affects people's quality of life and longevity. However, the causal relationship between social isolation, loneliness, and CHD remains uncertain. This study aims to explore the potential impacts of social isolation and loneliness on the risk of CHD, thereby helping identify those most susceptible to these conditions. A total of 442,811 individuals (mean and sd of age=56.24±8.07, 55.8% women, 91.5% white) were included in the study. The UK Biobank cohort study documented 25,120 CHD cases during a mean follow-up of 14.77 years. The relationship between loneliness, social isolation and CHD were first examined using the COX proportional risk model. A two-sample Mendelian randomization (MR) study was then conducted to further the association. We found that the hazard ratio (95% CI) of coronary heart disease (CHD) when comparing the most socially isolated groups to the least was 1.15 (1.05-1.26; P=0.0017). Additionally, the hazard ratio (95% CI) for comparing the presence of loneliness to its absence was 1.15 (1.10-1.20; P<0.001).Subgroup analyses showed that the risk of CHD was higher in individuals with low sleep quality who experienced social isolation and in women who experienced loneliness. MR analyses further revealed that individuals who felt lonely (OR=1.03; 95% CI: 1.01,1.06) and those less involved in sports/social activities (OR=1.02; 95% CI: 1.00,1.04) had a higher likelihood of developing CHD. MR provided further evidence supporting the causal relationship between social isolation, loneliness and CHD risk. Our findings suggest a significant association between social isolation, loneliness and increased risk of coronary heart disease. These findings suggest that both social isolation and loneliness are critical risk factors for CHD.

Increased Incidence of Surgical Intervention for Otitis Media With Effusion Among Patients With Type 2 Inflammatory Diseases.

Otitis media with effusion (OME) is associated with comorbidities such as allergic rhinitis, gastroesophageal reflux disease, asthma, and more. Many of these comorbidities can be caused by type 2 inflammation (T2I). This study aims to determine the risk of undergoing OME surgery in patients with and without T2I disease. To determine whether T2I disease is associated with an increased incidence of OME surgery. This retrospective, matched-cohort study involved the retrospective recruitment of patients with T2I disease (n= 31,603) and non-T2I disease (n= 31,603) from 2010 to 2019, using the Taiwan National Health Insurance Research Database. Statistical analyses were performed using t tests, Cox proportional regression models, Kaplan-Meier estimators, and log-rank tests. Among patients with OME, those with T2I disease had a greater risk of undergoing OME surgery, with an adjusted hazard ratio of 9.84 (95% confidence interval [CI], 8.90-10.88), than those without T2I disease. The adjusted relative risk for the number of OME surgeries in patients with T2I disease was 11.14 (95% CI, 10.30-12.05). Kaplan-Meier analysis showed consistently higher cumulative incidence curves in patients with T2I disease throughout the follow-up period (log-rank test: P < .001). OME patients with T2I disease had a significantly higher incidence of undergoing surgery due to failed conservative treatment, indicating that T2I may play an important role in middle ear disorders. Further research on this topic should be considered significant and worthy of investigation.

A New Risk Score Based on Lipid Indicators for Patients with Advanced Hepatocellular Carcinoma.

The prognosis is extremely troubling in advanced hepatocellular carcinoma (HCC). Prognostic scores have been developed. Yet, the positive predictive values might appear inadequate. This retrospective study aimed to develop a quick and efficient risk score to assess prognosis and clinical response. A total of 391hCC patients were enrolled and were divided into training and validation groups between 2015 and 2024. Patients were separated into high-risk and low-risk groups using X-tile software. Using the COX proportional risk model analysis method, we then created a risk score and examined them using Kaplan-Meier, time-dependent receiver operating characteristics (ROC) curve, and nomogram analysis. In predicting overall survival (OS), free fatty acid/high-density lipoprotein cholesterol (FFHL), tumor size, and BCLC stage were independent prognostic variables. A new risk score was developed just above and used as a prognostic factor (p < 0.001 in the training and validation groups) and had a high time-dependent ROC for progress-free survival (PFS) (area under the curve [AUC] 0.688-0.789 in the training group; AUC 0.592-0.741 in the validation group) and OS (AUC 0.812-0.918 in the training group; AUC 0.692-0.981 in the validation group). In comparison to the best overall response (BOR), the score offered a more accurate evaluation of durable clinical benefit (DCB) (p < 0.001 in the training and validation group; p = 0.061 vs 0.001 in the training and validation group). A new score based on lipid markers is a useful tool for evaluating prognosis and distinguishing patients with DCB.

Impact of White Blood Cell Count After Percutaneous Coronary Intervention on Long-Term Prognosis in Patients with Unstable Angina Pectoris: A Single-Center Retrospective Observational Cohort Study.

An association between white blood cell count (WBC-C) before percutaneous coronary intervention (PCI) and prognosis has been established in patients undergoing PCI. However, the effect of WBC-C after PCI on the long-term prognosis of patients with unstable angina pectoris (UA) is unclear. A retrospective cohort study was conducted in 1811 consecutive patients with UA. The changes of WBC and subgroup counts before and in the early postoperative stages after PCI were observed by paired Wilcoxon signed-rank test. The Kaplan-Meier method and COX proportional regression model were used to evaluate the association between the incidence of 5-year endpoint events and post-PCI leukocytosis. Leukocytosis and neutrocytosis within 24hours after PCI were observed in majority of patients with UA, while lymphocyte count significantly decreased after PCI in those patients. There were no significant differences in 5-year all-cause mortality and major adverse cardiovascular and cerebrovascular events (MACCE) between patients in the post-PCI leukocytosis and the control group. However, the 5-year incidence of major adverse cardiovascular events (MACE) was significantly increased in the post-PCI leukocytosis group (p = 0.017, Log rank test). Leukocytosis after PCI was independently associated with the occurrence of MACE (hazard ratio: 1.36; 95% confidence interval: 1.06-1.75; p = 0.015). Peripheral WBC and neutrophil counts within 24hours after PCI significantly increased in response to PCI in patients with UA, while lymphocyte count significantly decreased after PCI in those patients. The post-PCI leukocytosis offered predictive value for an increased risk of MACE for up to 5 years in patients with UA.

First-line carboplatin-based chemotherapy may be beneficial for HER2-low advanced breast cancer: A retrospective analysis

For patients with human epidermal growth factor receptor 2 (HER2)-low advanced breast cancer who had failed to meet with anthracycline or taxane, the application of HER2-targeted antibody-drug conjugates as second-line therapy could improve patients' outcomes, but it is unclear whether carboplatin-based first-line therapy will benefit these patients. This retrospective study was designed to explore whether carboplatin based first-line treatment could improve outcomes in HER2-low advanced breast cancer, and to analyze potential factors affecting efficacy and prognosis. 103 patients with HER2-negative metastatic breast cancer were treated with carboplatin based first-line therapy. The differences in progression-free survival (PFS), objective response rate (ORR), and adverse events were analyzed in different HER2 expression subgroups. The risk ratio (HR) and 95% confidence interval (CI) for PFS were estimated using Cox proportional risk models. The ORR for the whole group was 42.72% and the median PFS (mPFS) was 7.93 months (m). The ORR of HER2-low patients was significantly higher than HER2-zero patients (56.4% vs 27.1%, P = .003), and HER2-zero was an independent risk factor of ORR (OR 3.478, 95%CI 1.516–7.977, P = .003), especially in the HR-negative subgroup. The mPFS was significantly longer in patients with low neutrophil-to-lymphocyte ratio (NLR) scores than those with high NLR scores (P &lt; .001). Multivariate analysis showed that young breast cancer (age &lt; 40) (P = .006) and high NLR values (P = .001) were prognostic risk factors affecting mPFS. The main grade 3 to 4 adverse reactions were neutropenia (15.53%), anemia (15.53%), and leukopenia (11.65%). The first-line carboplatin-based chemotherapy is quite active and tolerable in patients with HER2-low advanced breast cancer, that higher response rates can be achieved. In cases where CDK4/6 inhibitors are inappropriate for use due to resistance to endocrine therapy or the urgent need for short-term clinical response, chemotherapy remains important. When it is necessary to consider the accessibility of antibody-drug conjugates and the economics of patients, carboplatin-based chemotherapy may be provided to HER2-low patients as a more convenient, cost-effective and efficient option on the front line. Forecasting the efficacy and prognosis via inflammatory index such as NLR before the commencement of the treatment could enhance the precision and efficiency of carboplatin-based regimens.

Exposure to green space, nighttime light, air pollution, and noise and cardiovascular disease risk: a prospective cohort study.

Current literature lacks information regarding impacts of green spaces on susceptibility to cardiovascular disease (CVD) related to harmful environmental exposures. The UK Biobank cohort study was utilized to investigate whether green spaces can mitigate risks associated with air pollutants, nighttime light, noise, and traffic intensity. Latent Profile Analysis was performed on green spaces and adverse environmental exposures in order to assess individual level exposure. Cox proportional risk models were employed to calculate hazard ratios for the risk of cerebrovascular diseases related to individual and joint adverse environmental exposures. Among participants in domestic garden group (DGG, higher proportion of domestic garden and lower proportion of other green space), adverse environmental exposures was associated with increased risks of cerebrovascular disease. However, these associations were no longer observed in other green space group (GSG, lower proportion of domestic garden and higher proportion of other green space). Interestingly the opposite effect occurred in participants with heart failure (HF) onset, where adverse environmental exposures were associated with increased risk of HF in GSG, and these associations were no longer observed in DGG. Domestic gardens may mitigate the risk of HF caused by adverse environmental exposures, and natural and water environments may offset the risk of cerebrovascular disease. Consequently, there are policy implications for improving urban green space planning to maximize their protective effects.

Bioinformatics-based modeling of lung squamous cell carcinoma prognosis and prediction of immunotherapy response

Lung squamous cell carcinoma (LUSC) is a subtype of non-small cell lung cancer. It has a grim prognosis for patients, primarily because the disease often remains asymptomatic in its early stages. As a result, it is frequently diagnosed at an advanced stage, limiting treatment options. This underscores the importance of studying potential biomarkers and developing personalized treatment strategies. In this study, we used an advanced bioinformatics approach, integrating two authoritative databases, NCBI's GEO and TCGA, to perform a large-scale cross-platform gene expression analysis. To deeply mine the gene expression data of a large number of lung squamous carcinoma samples, we used a screening strategy based on median absolute deviation to select genes that differed significantly in multiple datasets. The expression variations of these genes between normal and cancerous tissues provided us with valuable clues revealing key molecules that may be involved in the disease process. Through rigorous statistical tests, we identified 36 genes that were significantly associated with patient survival, and further constructed a model using Cox proportional risk model containing 11 key genes (MRPL40, GABPB1AS1, PTPN3, SNCA, PYGB, RAP1, VDR, PHPT1, KIAA0100, TBC1D30, CYP7B1) in a risk prediction model. The prediction model not only reflects the strong correlation between gene expression and LUSC prognosis, but also provides clinicians with an effective tool to predict patients' survival prospects. In the future, this model is expected to guide the development of individualized treatment plans, thereby improving the quality of life and overall prognosis of patients.

Combining the Albumin-to-fibrinogen ratio and pathologic factors predicts survival in surgically treated patients with esophageal squamous cell carcinoma

Abstract Objectives The primary objectives of this research were to examine the prognostic significance of the albumin-to-fibrinogen ratio (AFR) in patients who have undergone surgery for esophageal squamous cell carcinoma (ESCC) and to develop an easily implementable predictive model with clinical utility. Methods The present study retrospectively analyzed the clinical data of 414 patients who underwent R0 resection after being diagnosed with stage I–III ESCC. The prognostic value of AFR was evaluated using Kaplan-Meier survival curves and COX proportional risk regression modeling, and the effectiveness of AFR compared with other inflammatory markers was evaluated. Additionally, a nomogram prediction model was developed, and its accuracy was evaluated using the receiver operating characteristic (ROC) curves, decision curve analysis (DCA), and calibration curves. Results AFR was significantly correlated with tumor length, T-stage, N-stage, pathological stage, and vascular infiltration (p&lt;0.05 for all). The multivariate analysis results demonstrated that AFR was an independent prognostic factor that affected patient outcomes, whereas other inflammatory and nutritional biomarkers did not. Furthermore, the overall C-index of the nomogram risk prediction model was 0.737 (95 %-CI: 0.700–0.776). The calibration curves showed that the 3- and 5-year overall survival (OS) probabilities predicted by the nomogram were consistent with actual observations. Moreover, the DCA and ROC curves showed that our model had better clinical utility. Conclusions Preoperative AFR, a clinical indicator based on inflammation and nutrition, plays a clear role in the predictions of patient prognosis. The prognostic prediction model incorporating pathological factors and AFR demonstrates simplicity, efficacy, and exceptional accuracy.

Comparative Prognostic Value of Glomerular Filtration Rate, Serum Cystatin C, Beta-2-Microglobulin and Albuminuria for Death and Chronic Kidney Disease Progression.

Serum creatinine and albuminuria are the core of most CKD prediction and progression risk models. Several biomarkers have been introduced to improve these results such as beta-2-microglobulin (B2M) and cystatin C (CysC). Nevertheless, few clinical comparisons of these biomarkers are available. We have compared serum B2M levels with albuminuria, CysC levels, and the CKD-EPI GFR equations. A sample of 434 patients were studied: 234 males and 200 females, the mean age was 58.3 ± 15.0 years, and 33.4% have diabetes mellitus. In all patients, plasma B2M, CysC, creatinine, and urinary albumin excretion were analyzed. EGFR was calculated using CKD-EPI equations for creatinine, CysC, and creatinine-CysC. The risk of death and CKD progression was evaluated using ROC curves and Cox proportional hazards survivorship models. For mortality, the highest area under the curve (AUC) was for CysC (0.775, 0.676-0.875). The lowest sensitivity was shown by eGFR (creatinine) (0.298, 0.195-0.401, p < 0.001), eGFR (CysC) (0.216, 0.118-0.314, p < 0.001), and eGFR (creatinine + CysS) (0.218, 0.124-0.312, p < 0.001). For progression to advanced CKD, the highest AUC was for CysC (0.908, 0.862-0.954). The lowest sensitivity was shown by eGFR (creatinine) (0.184, 0.106-0.261, p < 0.001), eGFR (CysC) (0.095, 0.048-0.14, p < 0.001), and eGFR (creatinine+ CysC) (0.087, 0.040-0.134, p < 0.001). CysC, after age, was the second-best marker of life risk. Contrariwise, for CKD progression, CysC, and albuminuria were the best markers. The best biomarker of mortality and risk of progression to CKD was CysC. Albuminuria and B2M were the next best options to be used. The lowest sensitivity was shown by estimated eGFR.