Multivariate Regression Models Research Articles

Albumin–bilirubin grade as a predictor of survival in hepatocellular carcinoma patients with thrombocytopenia

BACKGROUND The models for assessing liver function, mainly the Child–Pugh (CP), albumin–bilirubin (ALBI), and platelet–ALBI (PALBI) classifications, have been validated for use in estimating the prognosis of hepatocellular carcinoma (HCC) patients. However, thrombocytopenia is a common finding and may influence the prognostic value of the three models in HCC. AIM To investigate and compare the prognostic performance of the above three models in thrombocytopenic HCC patients. METHODS A total of 135 patients with thrombocytopenic HCC who underwent radical surgery were retrospectively analyzed. Preoperative scores on the CP, ALBI and PALBI classifications were estimated accordingly. Kaplan–Meier curves with log-rank tests and Cox regression models were used to explore the significant factors associated with overall survival (OS) and recurrence-free survival (RFS). RESULTS The preoperative platelet counts were significantly different among the CP, ALBI and PALBI groups. After a median follow-up of 28 mo, 39.3% (53/135) of the patients experienced postoperative recurrence, and 36.3% (49/135) died. Univariate analysis suggested that α-fetoprotein levels, tumor size, vascular invasion, and ALBI grade were significant predictors of OS and RFS. According to the multivariate Cox regression model, ALBI was identified as an independent prognostic factor. However, CP and PALBI grades were not statistically significant prognostic indicators. CONCLUSION The ALBI grade, rather than CP or PALBI grade, is a significant prognostic indicator for thrombocytopenic HCC patients.

Effect of peripheral blood inflammatory indicators on the efficacy of immunotherapy in patients with advanced non-small cell lung cancer and chronic obstructive pulmonary disease

Objective: To investigate the impact of peripheral blood inflammatory indicators on the efficacy of immunotherapy in patients with advanced non-small cell lung cancer (NSCLC) complicated with chronic obstructive pulmonary disease (COPD). Methods: A retrospective cohort study was performed to include 178 patients with Ⅲ-Ⅳ NSCLC complicated with COPD who received at least 2 times of immunotherapy in Xinqiao Hospital of the Army Medical University from January 2019 to August 2021. Baseline peripheral blood inflammatory indicators such as interleukin-6 (IL-6), interleukin-8 (IL-8), tumor necrosis factor-α (TNF-α) were collected within 2 weeks before the first treatment, with the last one being on or before February 7, 2022. X-tile software was used to determine the optimal cut-off value of peripheral blood inflammatory indicators. The Cox multivariate regression models were used to analyze the factors affecting progression free survival (PFS) and overall survival (OS). Results: Among the 178 patients, there were 174 males (97.8%) and 4 females (2.2%); the age ranged from 42 to 86 (64.3±8.3) years old.There were 30 cases (16.9%) of immunotherapy monotherapy, 114 cases (64.0%) of immunotherapy combined with chemotherapy, 21 cases (11.8%) of immunotherapy combined with antivascular therapy, and 13 cases (7.3%) of immunotherapy combined with radiotherapy. The median follow-up period was 14.5 months (95%CI: 13.6-15.3 months). The objective response rate (ORR) and disease control rate (DCR) were 44.9% (80/178) and 90.4% (161/178) for the whole group, the median PFS was 14.6 months (95%CI: 11.6-17.6 months), and the median OS was 25.7 months (95%CI: 18.0-33.4 months). The results of Cox multivariate analysis showed that IL-6>9.9 ng/L (HR=5.885, 95%CI: 2.558-13.543, P<0.01), TNF-α>8.8 ng/L (HR=3.213, 95%CI: 1.468-7.032, P=0.003), IL-8>202 ng/L (HR=2.614, 95%CI: 1.054-6.482, P=0.038), systemic immune inflammatory index (SII)>2 003.95 (HR=2.976, 95%CI: 1.647-5.379, P<0.001) were risk factors for PFS, and advanced lung cancer inflammation index (ALI)>171.15 was protective factor for PFS (HR=0.545, 95%CI: 0.344-0.863, P=0.010). IL-6>9.9 ng/L(HR=6.124, 95%CI: 1.950-19.228, P<0.002), lactate dehydrogenase (LDH)>190.7 U/L (HR=2.776, 95%CI: 1.020-7.556, P=0.046), SII>2 003.95 (HR=4.521, 95%CI: 2.241-9.120, P<0.001) were risk factors for OS, and ALI>171.15 was a protective factor for OS (HR=0.434, 95%CI: 0.243-0.778, P=0.005). Conclusion: Baseline high levels of IL-6, TNF-α, IL-8, SII, LDH, and low levels of ALI are risk factors for poor prognosis in patients with advanced NSCLC-COPD receiving immunotherapy.

Multi-Criteria Optimization of SBR-Modified Mortar Incorporating Polyethylene Terephthalate Waste

Thermosetting post-consumer plastics like polyethylene terephthalate (PET) raise serious recycling challenges, leading frequently to disposal through incineration or landfilling. This study assesses the feasibility of cementitious materials containing PET additions including the influence of cement content, water-to-cement ratio (w/c), styrene-butadiene rubber (SBR) polymer additions, and PET volume on the fresh and hardened properties. The mixture proportioning followed the Taguchi methodology, which entailed the utilization of four factors, each possessing three different levels to create an L9 orthogonal matrix. The assessment included diverse performance indicators such as flow, compressive strength, flexural strength, bond strength, water absorption, and resistance to carbonation. Test results revealed that the incorporation of SBR and PET degraded the compressive strength, albeit this can be restored by increasing the cement content and/or reducing w/c. The addition of SBR significantly improved the flexural and bond strengths yet curtailed the water absorption and resistance to carbonation due to increased closed porosity that facilitated the transport properties. The multi-criteria optimization approach (TOPSIS) indicated that superior performance can be achieved using a cement content of 525kg/m3, w/c of 0.55, SBR of 3.5%, and PET incorporation of 4.5%. These parameters were subsequently employed in the development of multivariate regression models, allowing for the prediction of fresh and hardened properties in SBR-PET mortar.

Analysis of multiple factors influencing the survival of patients with advanced gastric cancer.

The aim of this study was to investigate the main factors influencing the survival of patients with advanced gastric cancer. The clinicopathological data of 120 patients with advanced gastric cancer were analyzed retrospectively, and clinical and pathological data were collected. Tumor tissue staging and grading were re-evaluated, and 5-year overall survival was followed up. The classified data were described by percentages, and the continuous data were described by standard deviations or medians. Univariate analysis was performed using the χ2 test or rank-sum test, followed by Kaplan-Meier survival analysis to calculate the median survival time and 5-year cumulative survival. A multivariate Cox regression model was used to evaluate the independent risk factors affecting survival. The test level was α = 0.05. Patients were followed up for 0 to 60 months, the 5-year overall survival rate was 36.2%, and the median survival time was 53.0 ± 1.461 months. K-M and log-rank test results revealed that tumor location, degree of differentiation, depth of invasion, regional lymph node involvement, and postoperative tumor stage were correlated with a decreased 5-year survival rate (P < 0.05). A multivariate Cox risk regression model was used to analyze the degree of histological differentiation (HR = 1.441; 95% CI = 1.049-1.979; P = 0.024), regional lymph node (HR = 1.626; 95% CI = 1.160-2.279; P = 0.005), and pTNM stage (HR = 2.266; 95% CI = 1.335-3.847; P = 0.002), which are independent risk factors for poor survival. Tumor location (P = 0.191), invasion depth (P = 0.579) and tumor size (P = 0.324) were not found to be independent risk factors. The degree of tumor differentiation, regional lymph node metastasis and postoperative pathological stage were found to be independent risk factors for 5-year overall survival in patients with advanced gastric cancer. Standardized and reasonable lymph node dissection and accurate postoperative pathological staging were very important.

Case Report of Arthroscopic Anatomical Bone Glenoid Augmentation with Subscapularis Tendon Protection with A 24 Months Follow-Up and Literature Review of The Current Concepts of Glenoid Bone Augmentation

Background: The purpose of the present study was to examine the association between non-exercise Cardiorespiratory Fitness (eCRF) and all-cause mortality in cancer patients. Methods and Findings: A total of 2,404 participants from the Aerobics Center Longitudinal Study (622 women and 1,782 men) with a cancer diagnosis were followed for mortality. Non-exercise eCRF was calculated in Metabolic Equivalents (METs) with sex-specific algorithms at baseline. Multivariable Cox regression models were used to examine the association between CRF and risk of all-cause mortality. Hazard ratios and 95% confidence intervals were calculated as an index of strength of the association. More than 96% (2,323) of the 2,404 participants survived, while 81 (3.4%) died. In the multivariable adjusted model, each 1-MET increment was associated with a 17% decreased risk of all-cause mortality. Compared with the reference group, those in the middle CRF group had a 58% lower risk of death and those in the upper CRF group had a 78% lower risk of death than those in the lower CRF group (Ptrend=0.0002). Conclusion: CRF estimated using a non-exercise formula (non-exercise eCRF) is inversely associated with all-cause mortality in cancer patients.

The impact of corneal higher-order aberrations on dynamic visual acuity post cataract surgery

PurposeTo explore the influence of corneal higher-order aberrations (HOAs) on dynamic visual acuity (DVA) post cataract surgery.MethodsA total of 27 patients with 45 eyes following cataract surgery were included in this study. The postoperative monocular object-moving DVA at the velocity of 20, 40, and 80 degrees per second (dps) were examined at 1 month. The total corneal HOAs were measured with Scheimpflug-based corneal topography. The correlation between postoperative DVA and HOAs was analyzed.ResultsSignificant difference was shown among DVA at different velocities (P &amp;lt; 0.001). The 20 dps DVA was significantly better than 40 (P &amp;lt; 0.001) and 80 (P &amp;lt; 0.001) dps DVA. No significant difference was observed between 40 and 80 dps DVA (P = 0.420). The vertical coma and the root mean square (RMS) of coma (RMScoma) were statistically correlated with 80 dps DVA (P &amp;lt; 0.05). The vertical trefoil, RMStrefoil and total RMSHOA were statistically correlated with 40 and 80 dps DVA (P &amp;lt; 0.05). The spherical aberration was not significantly associated with postoperative DVA (P &amp;gt; 0.05 for all velocites). The multivariate linear regression model revealed that age was a significant influential factor for 20 dps DVA (P = 0.002), and RMStrefoil (4 mm) and age were significantly associated with 40 and 80 dps DVA (P ≤ 0.01).ConclusionThe research demonstrated that larger corneal HOAs, especially coma and trefoil aberrations were significantly associated with worse high-speed DVA, but not spherical aberration post cataract surgery.

Viral load suppression and its predictor among HIV seropositive people who receive enhanced adherence counseling at public health institutions in Bahir Dar, Northwest Ethiopia. Retrospective follow-up study.

For those HIV seropositive people with high viral loads, the World Health Organization recommends more counseling before changing ART regimens. A high viral load can lead to increased HIV transmission and lower survival rates. Clients with viral loads above 1000 copies/mL should receive enhanced adherence counseling for 3-6 months before switching. Despite enhanced adherence counseling programs, most countries struggle with viral load suppression. Little is known about viral load suppression in Ethiopia and the research area after counseling. This study aims to assess viral load suppression and its predictors among HIV-positive individuals receiving enhanced adherence counseling in Bahir Dar, Northwest Ethiopia, in 2022. An institution-based retrospective follow-up study was conducted among randomly selected 546 clients on Enhanced Adherence Counseling at public health facilities in Bahir Dar city. The Epicollect5 mobile application was used to collect the data, which was then exported to Stata version 14 for analysis. A Log-Binomial regression model was fitted for each explanatory variable. Variables having a p-value <0.25 in bivariate analysis were entered into a multivariable Log-Binomial regression model. Finally, an adjusted risk ratio with a 95% confidence interval and a p-value <0.05 was used to measure the strength of the prediction. Following enhanced adherence counseling, 312 (57.1%) people had their viral load suppressed. Absence of recurrent OI (ARR 1.40; CI 1.03-1.91), EAC stay less than 3 months (ARR 1.54; CI 1.19-1.99), EAC stay 3-6 months (ARR 1.38; CI 1.12-1.69), once-daily ARV dose regimen (ARR 1.28; CI 1.03-1.58), baseline viral load of 2879.00 copies/ml (ARR 1.30, CI 1.06-1.60), being orthodox Tewahido Christian (ARR 0.37; CI 0.18-0.75) were significant predictors of viral load suppression after Enhanced Adherence Counseling. Most importantly, this study found that most people had suppressed viral loads after receiving enhanced adherence counseling. Significant predictors of viral load suppression included recurrent OI, length of stay on EAC, daily ARV dosing regimen, baseline viral load, and religion. Clients with a high baseline viral load and those who experience recurring opportunistic infections should get extra care during EAC sessions.

Recent Cannabis Use and Accelerometer-Measured Physical Activity and Sedentary Behavior Among Young-to-Midlife Adults: An Analysis of the National Health and Nutrition Examination Survey from 2011 to 2014.

Introduction: Cannabis use has been associated with reduced physical activity and increased sedentary behavior in adolescents. In adults, however, there is no conclusive evidence of such an association, and existing studies have primarily relied on self-reported activity measures. As cannabis use increases globally, a deeper understanding of its relationship with activity levels may inform clinical counseling and guidelines. This study investigated the association between recent cannabis use and accelerometer-measured activity. Methods: Data were obtained from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2014. We included adults in the United States who responded to a cannabis questionnaire and had at least 4 days of activity data from an ActiGraph GT3X+ accelerometer, which comprised participants from 18 to 59 years. The primary exposure was any self-reported cannabis use in the past 30 days. The primary outcome was daily sedentary time and secondary outcomes were daily light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA). Analyses were performed with multivariable quasi-Poisson regression models. Results: Of 4666 included adults, 658 (14.1%) reported recent cannabis use. After covariate adjustment, recent cannabis use was not associated with daily sedentary time (adjusted incidence rate ratio [aIRR] 0.99, 95% confidence interval [CI]: 0.98-1.01) or daily MVPA time (aIRR 1.01, 95% CI: 0.98-1.04). Daily LPA time was 4% greater with recent cannabis use (aIRR 1.04, 95% CI: 1.01-1.06). Conclusion: Recent cannabis use in young to midlife adults was not associated with accelerometer-measured sedentary or MVPA time, but it was associated with a marginal increase in LPA time of unclear clinical significance. Our findings provide evidence against existing concerns that cannabis use independently promotes sedentary behavior and decreases physical activity. Future prospective studies are needed to determine if these findings generalize to specific populations using cannabis including chronic pain patients.

Hospital Readmissions in Patients Supported with Durable Centrifugal-Flow Left Ventricular Assist Devices

Background: Centrifugal-flow left ventricular assist devices (CF-LVADs) have improved morbidity and mortality for their recipients. Hospital readmissions remain common, negatively impacting quality of life and survival. We sought to identify risk factors associated with hospital readmissions among patients with CF-LVADs. Methods: Consecutive patients receiving a CF-LVAD between February 2011 and March 2021 were retrospectively evaluated using prospectively maintained institutional databases. Hospital readmissions within three years post-LVAD implantation were dichotomized into heart failure (HF)/LVAD-related or non-HF/LVAD-related readmissions. Multivariable Cox regression models augmented using a machine learning algorithm, the least absolute shrinkage and selection operator (LASSO) method, for variable selection were used to estimate associations between HF/LVAD-related readmissions and pre-, intra- and post-operative clinical variables. Results: A total of 204 CF-LVAD recipients were included, of which 138 (67.7%) had at least one HF/LVAD-related readmission. HF/LVAD-related readmissions accounted for 74.4% (436/586) of total readmissions. The main reasons for HF/LVAD-related readmissions were major bleeding, major infection, HF exacerbation, and neurological dysfunction. Using pre-LVAD variables, HF/LVAD-related readmissions were associated with substance use, previous cardiac surgery, HF duration, pre-LVAD inotrope dependence, percutaneous LVAD/VA-ECMO support, LVAD type, and the left ventricular ejection fraction in multivariable analysis (Harrell’s concordance c-statistic; 0.629). After adding intra- and post-operative variables in the multivariable model, LVAD implant hospitalization length of stay was an additional predictor of readmission. Conclusions: Using machine learning-based techniques, we generated models identifying pre-, intra-, and post-operative variables associated with a higher likelihood of rehospitalizations among patients on CF-LVAD support. These models could provide guidance in identifying patients with increased readmission risk for whom clinical strategies to mitigate this risk may further improve LVAD recipient outcomes.

Effect of chemotherapy on prognosis in patients with primary pancreatic signet ring cell carcinoma: A large real-world study based on machine learning.

Primary pancreatic signet ring cell carcinoma (PSRCC), an extremely rare histologic variant of pancreatic cancer, has a poor prognosis. This study aimed to investigate the prognostic value of chemotherapy in PSRCC. Patients with PSRCC between 2000 and 2019 were identified using the Surveillance Epidemiology and End Results (SEER) database. The main outcomes in this study were cancer-specific survival (CSS) and overall survival (OS). The baseline characteristics of patients were compared using Pearson's Chi-square test. Kaplan-Meier analysis was used to generate the survival curves. Least absolute shrinkage and selection operator (LASSO), univariate and multivariate Cox regression models, and Random Survival Forest model were used to analyze the prognostic variables for OS and CSS. The variance inflation factors (VIFs) were used to analyze whether there was an overfitting problem. A total of 588 patients were identified. Chemotherapy was an independent prognostic factor for OS and CSS, and significantly associated with OS (HR = 0.33, 95% CI = 0.27-0.40, P <0.001) and CSS (HR = 0.32, 95% CI = 0.26-0.39, P <0.001). Chemotherapy showed beneficial effects on OS and CSS in patients with PSRCC and should be recommended in clinical practice.

Health insurance among survivors of childhood cancer following affordable care act implementation.

The Affordable Care Act (ACA) increased private non-employer health insurance options, expanded Medicaid eligibility, and provided pre-existing health conditions protections. We evaluated insurance coverage among long-term adult survivors of childhood cancer pre/post-ACA implementation. Using the multicenter Childhood Cancer Survivor Study, we included participants from two cross-sectional surveys: pre-ACA (2007-2009; survivors: N = 7,505; siblings: N = 2,175) and post-ACA (2017-2019; survivors: N = 4,030; siblings: N = 987). A subset completed both surveys (1,840 survivors; 646 siblings). Multivariable regression models compared post-ACA insurance coverage and type (private/public/uninsured) between survivors and siblings and identified associated demographic and clinical factors. Multinomial models compared gaining and losing insurance vs staying the same among survivors and siblings who participated in both surveys. The proportion with insurance was higher post-ACA (survivors pre-ACA 89.1% to post-ACA 92.0% [+2.9%]; siblings pre-ACA 90.9% to post-ACA 95.3% [+4.4%]). Post-ACA insurance coverage was greater among those age 18-25 (survivors: 15.8% vs < 2.3% ages 26+; siblings +17.8% vs < 4.2% ages 26+). Survivors were more likely to have public insurance than siblings post-ACA (18.4% vs 6.9%; odds ratios [OR]=1.7, 95%CI 1.1-2.6). Survivors with severe chronic conditions (OR = 4.7, 95%CI 3.0-7.3) and those living in Medicaid expansion states (OR = 2.4, 95%CI 1.7-3.4) had increased odds of public insurance coverage post-ACA. Among the subset completing both surveys, low/mid income survivors (<$60,000) experienced both insurance losses and gains in reference to highest household income survivors (≥$100,000), relative to odds of keeping the same insurance status. Post-ACA, more childhood cancer survivors and siblings had health insurance, although disparities remain in coverage.

Extracellular volume-based scoring system for tracking tumor progression in pancreatic cancer patients receiving intraoperative radiotherapy

ObjectivesTo investigate the value of extracellular volume (ECV) derived from portal-venous phase (PVP) in predicting prognosis in locally advanced pancreatic cancer (LAPC) patients receiving intraoperative radiotherapy (IORT) with initial stable disease (SD) and to construct a risk-scoring system based on ECV and clinical-radiological features.Materials and methodsOne hundred and three patients with LAPC who received IORT demonstrating SD were enrolled and underwent multiphasic contrast-enhanced CT (CECT) before and after IORT. ECV maps were generated from unenhanced and PVP CT images. Clinical and CT imaging features were analyzed. The independent predictors of progression-free survival (PFS) determined by multivariate Cox regression model were used to construct the risk-scoring system. Time-dependent receiver operating characteristic (ROC) curve analysis and the Kaplan–Meier method were used to evaluate the predictive performance of the scoring system.ResultsMultivariable analysis revealed that ECV, rim-enhancement, peripancreatic fat infiltration, and carbohydrate antigen 19-9 (CA19-9) response were significant predictors of PFS (all p < 0.05). Time-dependent ROC of the risk-scoring system showed a satisfactory predictive performance for disease progression with area under the curve (AUC) all above 0.70. High-risk patients (risk score ≥ 2) progress significantly faster than low-risk patients (risk score < 2) (p < 0.001).ConclusionECV derived from PVP of conventional CECT was an independent predictor for progression in LAPC patients assessed as SD after IORT. The scoring system integrating ECV, radiological features, and CA19-9 response can be used as a practical tool for stratifying prognosis in these patients, assisting clinicians in developing an appropriate treatment approach.Critical relevance statementThe scoring system integrating ECV fraction, radiological features, and CA19-9 response can track tumor progression in patients with LAPC receiving IORT, aiding clinicians in choosing individual treatment strategies and improving their prognosis.Key PointsPredicting the progression of LAPC in patients receiving IORT is important.Our ECV-based scoring system can risk stratifying patients with initial SD.Appropriate prognostication can assist clinicians in developing appropriate treatment approaches.Graphical

Outcomes of patients with acute severe autoimmune hepatitis: Predictors of non-response to corticosteroids and need for liver transplantation.

Acute severe autoimmune hepatitis (AS-AIH) is an evolving concept and the outcomes and optimal treatment have been less studied. In this study, we aimed to investigate the outcomes of patients with AS-AIH and predictors of non-response to corticosteroid therapy and need for liver transplantation. In a retrospective cohort, we included patients with AS-AIH admitted to our liver center. We defined AS-AIH based on the international autoimmune hepatitis group score as acute presentation of AIH with an international normalized ratio (INR)≥1.5 and without liver cirrhosis and hepatic encephalopathy. All patients received high dose corticosteroid therapy. Treatment response was defined as liver transplant free survival at 4months after presentation. Factors associated with response to corticosteroids and survival of patients were studied. In total, 61 patients with AS-AIH were included. Forty-seven patients responded to corticosteroid therapy. In the multivariate regression model, baseline INR (odds ratio [OR]: 0.184; 95% confidence interval [CI]: 0.048-0.699; p=0.013) and delayed versus early initiation of corticosteroid (after vs. before 5days of presentation) (OR: 0.189; 95% CI: 0.039-0.919; p=0.039) were independent predictors of clinical non-response to corticosteroid therapy. In the multivariable Cox regression model, baseline INR level (OR: 2.542; 95% CI: 1.188-5.440; p=0.016) and delayed initiation of corticosteroids (OR: 3.578; 95% CI: 1.084-11.812; p=0.036) were independent predictors of liver transplant free survival at 6months after diagnosis. Delayed initiation of corticosteroid therapy might be predictive of clinical non-response to medical therapy and need for liver transplantation in patients with AS-AIH.

NSAID PRESCRIPTION SURVEY IN INTEGRATED TRADITIONAL AND WESTERN MEDICINE TREATMENT: ASSESSING GASTROINTESTINAL AND CARDIOVASCULAR RISKS

Introduction: Non-steroidal anti-inflammatory drug (NSAID) usage should be carefully considered based on gastrointestinal (GI) and cardiovascular (CV) risks. In light of restricted evidence, this study aims to assess the prescription of NSAIDs concerning the GI and CV risks in the integrated treatment of Traditional medicine (TM) and Western medicine (WM). Materials and method: A retrospective cross-sectional study was conducted on 393 medical records of inpatients using NSAIDs in 2022 at the Traditional Medicine Hospital of Ho Chi Minh City. GI and CV risks, as well as information regarding NSAID prescriptions, were recorded. A multivariable regression model was employed to identify factors associated with the prescription of NSAID groups. Results: NSAIDs were primarily prescribed for musculoskeletal and connective tissue disorders (87.28%). Approximately half of the cases exhibited moderate to high GI risk (47.59%), while for CV risk, there were 68.95% with moderate to very high risk. COX-2 inhibitors were the most commonly prescribed (94.66%), even when considering GI and CV risks separately. In the majority, NSAID prescriptions aligned with both risks according to American College of Gastroenterology (ACG) guidelines (73.79%). The prescription of NSAID groups was significantly influenced by patient gender, ailment type, and physician education (p&lt;0.05), but not by GI and CV risks (p&gt;0.05). Conclusion: Patients receiving NSAIDs in integrated TM and WM treatment often faced an increased GI and CV risk, with the majority adhering to ACG guidelines. However, GI and CV risks were not significantly considered for NSAID group selections. Multi-center studies should be conducted.

Ductal carcinoma in situ and cause-specific mortality among younger and older postmenopausal women: the Women's Health Initiative.

Whether DCIS is associated with higher breast cancer-specific and all-cause mortality is unclear with few studies in older women. Therefore, we examined DCIS and breast cancer-specific, cardiovascular (CVD)-specific, and all-cause mortality among Women's Health Initiative (WHI) Clinical Trial participants overall and by age (< 70 versus ≥ 70 years). Of 68,132 WHI participants, included were 781 postmenopausal women with incident DCIS and 781 matched controls. Serial screening mammography was mandated with high adherence. DCIS cases were confirmed by central medical record review. Adjusted multivariable Cox proportional hazard regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI). Kaplan Meier (KM) plots were used to assess 10-year and 20-year mortality rates. After 20.3 years total, and 13.2 years median post-diagnosis follow-up, compared to controls, DCIS was associated with higher breast cancer-specific mortality (HR 3.29; CI = 1.32-8.22, P = 0.01). The absolute difference in 20-year breast cancer mortality was 1.2% without DCIS and 3.4% after DCIS, log-rank P = 0.026. Findings were similar by age (< 70 versus ≥ 70 years) with no interaction (P interaction = 0.80). Incident DCIS was not associated with CVD-specific mortality (HR 0.77; CI-0.54-1.09, P = 0.14) or with all-cause mortality (HR 0.96; CI = 0.80-1.16, P = 0.68) with similar findings by age. In postmenopausal women, incident DCIS was associated with over three-fold higher breast cancer-specific mortality, with similar findings in younger and older postmenopausal women. These finding suggest caution in using age to adjust DCIS clinical management or research strategies.

Association between maternal and fetal inflammatory biomarkers and offspring weight and BMI during the first year of life in pregnancies with GDM: MySweetheart study

BackgroundGestational Diabetes Mellitus (GDM) is frequently associated with chronic, low-grade inflammation. Whether this environment affects offspring anthropometry during early childhood remains to be elucidated. The aim of this study was to investigate the associations between maternal and fetal (cord blood-umbilical artery) inflammatory biomarkers and offspring weight and BMI up to 1 year in pregnancies with GDM.MethodsIn this prospective secondary analysis of the MySweetheart study, we included 193 women with GDM and their offspring. Maternal and fetal (N=39) predictors included serum levels of inflammatory biomarkers including CRP, IL-6, and TNF-α at 24-32 weeks of gestational age (GA) and in the cord blood. Offspring outcomes were small and large for gestational age (SGA, LGA), sex- and age-adjusted weight, and BMI at birth and at 1 year. Univariate and multivariate regression models were performed. Associations were adjusted for maternal pre-pregnancy BMI, age, and ethnicity.ResultsMean maternal age was 33.6 ± 4.8 years, and pre-pregnancy BMI 25.9 ± 5.6 kg/m2. Their mean gestational age at the 1st GDM visit was 29 ± 2.4 weeks. Gestational age at delivery was 39.7 ± 1.1 weeks, with a mean birthweight of 3.4 ± 0.46 kg; 11.8% of offspring were LGA and 10.8% were SGA. At 1 year of age, mean offspring weight was 9.8 ± 1.2 kg and BMI z-score 0.23 ± 1.1 kg/m2. In the models including only maternal predictors, TNF-α at 24-32 weeks of GA was positively associated with SGA and inversely with offspring weight and BMI at birth and at 1 year (p ≤0.034). In the models including only fetal predictors and the combined model, CRP was inversely associated with BMI at 1 year (p ≤0.020).ConclusionsIn women with GDM, maternal and fetal inflammatory biomarkers distinctively influenced offspring anthropometry during the first year of life, independent of maternal age, prepregnancy BMI and ethnicity. These results suggest that low-grade inflammation during pregnancy may affect the developing offspring by leading to a decrease in weight and BMI and may have implications for future personalized follow-up of women with GDM and their offspring.

Race/Ethnicity Analysis of Vascular Alterations in Optical Coherence Tomography Angiography in Diabetic Patients

ABSTRACT Purpose Racial and ethnic minorities have a higher prevalence of diabetic retinopathy (DR) and present at advanced stages of disease. In an urban hospital population, we investigated microvascular differences in optical coherence tomography angiography (OCTA) between racial/ethnic groups while adjusting for socioeconomic status (SES). Methods 3 × 3 mm2 macular OCTA scans were obtained for analysis of foveal avascular zone (FAZ) area, FAZ perimeter as well as superficial (SCP) and deep capillary plexus (DCP) vessel density (VD), vessel length density (VLD), and adjusted flow index (AFI). SES was measured using the Area Deprivation Index. Multivariable regression models were used to adjust estimates for relevant confounders. Results 217 non-diabetic and 1,809 diabetic patients were included in the study, consisting of 42.2% Hispanic, 24.9% non-Hispanic (NH) Asian, 6.8% NH Black, 9.7% NH White and 16.3% Other patients. NH White was used as the reference group. Hispanic, NH Asian, and NH Black patients had significantly greater FAZ areas and FAZ perimeters, and lower DCP VD and VLD, among both non-diabetic and diabetic patients (Benjamini-Hochberg adjusted P-values <0.05). The addition of SES scores in the models did not modify any regressions significantly. Conclusions In patients with and without diabetes, racial and ethnic minorities have significant retinal microvasculature differences when compared to NH White patients, regardless of SES. These differences are pronounced in DCP and may predispose racial/ethnic minorities to worse outcomes in DR, thus widening disparities in ophthalmic care.

Characterization of the least squares estimator: Mis-specified multivariate isotonic regression model with dependent errors

This article investigates some nice properties of the least squares estimator of multivariate isotonic regression function (denoted as LSEMIR), when the model is mis-specified, and the errors are β \beta -mixing stationary random variables. Under mild conditions, it is observed that the least squares estimator converges uniformly to a certain monotone function, which is closest to the original function in an appropriate sense.

Postoperative radiotherapy does not improve survival in patients with Masaoka-Koga stage IIB thymomas: A propensity score matching study based on the SEER database.

This study, based on a population, explored the prognostic value of postoperative radiotherapy (PORT) for Masaoka-Koga IIB stage thymomas. Patients diagnosed with thymoma from 2004 to 2017 in the Surveillance, Epidemiology, and End Results (SEER) database were included in the retrospective study. Through propensity score matching, the baseline characteristics of the patients were successfully matched to mitigate the selection bias of PORT. Survival rates and survival curves were compared between the PORT and non-PORT groups, with potential confounding factors addressed using a multivariate Cox regression model. In this study, 785 cases of IIB stage thymoma were included from the SEER database, and 303 patients were successfully matched between PORT and non-PORT groups through propensity score matching, with no significant differences in baseline characteristics. In the PORT and non-PORT groups, 10-year overall survival rates were 65.2% versus 59.6%, and cancer-specific survival rates were 87.0% vs. 84.4%, PORT did not yield statistically significant improvements in overall survival (P = .275) or cancer-specific survival (P = .336) for stage IIB thymomas. Based on the SEER database, the results of our study indicated that PORT does not confer a significant survival benefit for IIB stage thymomas.

Gender-specific associations between sleep quality, sleep duration and cognitive functioning among older Indians: findings from WHO-SAGE study

BackgroundSleep is an essential component of human health and well-being, playing a crucial role in several cognitive processes, including attention, memory, and executive function. In this study, we aimed to examine the association between sleep quality, sleep duration and cognitive functioning among older men and women in India.MethodsData come from the World Health Organization’s Study on global AGEing and adult health (WHO-SAGE), India wave-2, which was conducted in 2015 in six selected states of India, representing different country regions. The sample included 6,396 older adults aged 50 years and above. We used multivariable linear regression models to examine the associations between sleep quality, sleep duration and cognitive function, separately among older men and women.ResultsOlder men and women with poor sleep and short duration sleep had lower mean scores of cognition than their peers with good sleep and age-appropriate sleep duration. Poor sleep (aCoef: -5.09, CI: -8.66, -1.51) and short duration sleep (aCoef: -5.43, CI: -7.77, -3.10) were negatively associated with cognitive functioning among older men and the associations remained significant among older men with poor sleep (aCoef: -2.39, CI: -3.78, -1.00) and short duration sleep (aCoef: -4.39, CI: -6.46, -2.31) after adjusting for a large number of socio-demographic, health and behavioral factors. Similarly, poor sleep (aCoef: -3.15, CI: -5.79, -0.52) and short duration sleep (aCoef: -2.72, CI: -4.64, -0.81) were associated with cognitive functioning among older women, however, the associations were insignificant when the potential confounders were adjusted.ConclusionsThis study provides evidence for the significant association between sleep health and cognitive functioning in older Indian adults, especially older men, with poor sleep quality and insufficient sleep duration being detrimental to their cognitive health. Healthcare providers should routinely screen for sleep quality and age-appropriate sleep duration in their older adult patients and consider sex/gender-tailored sleep interventions as part of cognitive health management strategies.