Univariate Analysis Research Articles

B-141 Analysis of risk factors and construction of prediction model for pneumonia in patients with pneumoconiosis based on the clinical laboratory indexes

Abstract Background Pneumoconiosis has been the leading industrial disease in China. Pneumonia is one of the common comorbidities for patients with pneumoconiosis, which may lead to the worse condition and poor prognosis. Timely and accurate diagnosis is necessary to retard the pneumonia progression in pneumoconiosis patients. Due to the similarity of clinical features between pneumoconiosis and pneumonia, clinical laboratory tests are needed for assessing the hazard of pneumonia occurrence in patients with pneumoconiosis. Therefore, we aim to explore the risk factors of pneumonia from laboratory test indexes for patients with pneumoconiosis, construct prediction model, and evaluate its feasibility. Methods A total of 243 patients with pneumoconiosis from the General Hospital of Xuzhou Mining Group from September 2021 to August 2023 were selected as the modeling set, which was further separated as the non-pneumonia group and the pneumonia group. Nineteen laboratory test indexes related to inflammation, tumor markers, renal function, and blood routine examination were compared between the two groups. The univariate and multivariate Logistic analysis was used to screen out risk factors and construct the prediction model. Two hundred and twenty-eight patients with pneumoconiosis from General Hospital of Xuzhou Mining Group (Yi'an Branch) were enrolled as the validation set. The predictive efficiency of the model on pneumonia for patients with pneumoconiosis was evaluated through Hosmer-Lemeshow(H-L)test and receiver operating characteristic (ROC) curve. Results C-reactive protein (CRP), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), β2 microglobulin, creatinine, urea, neutrophil percentage, lymphocyte percentage, and lymphocyte count in pneumonia group were significant different from those in non-pneumonia group (<0.05). Logistic regression analysis suggested that CRP (OR=3.883, <0.001), IL-6 (OR=1.217, =0.003), IL-8 (OR=1.215, =0.002) and β2-microglobulin (OR=2.838, =0.002) were independent risk factors for pneumonia in patients with pneumoconiosis. The prediction model was constructed as Logit (P) =1.357×CRP+0.196×IL-6+0.195×IL-8+1.043×β2-microglobulin-9.772. The H-L test demonstrated that there was no significantly difference between predicted values and the true values. The areas under ROC curves of the model in the modeling set and the validation set were 0.909 and 0.848. The sensitivity was 86.8% and 75.6%, and accuracy 82.1% and 79.7%, respectively. Conclusions CRP, IL-6, IL-8, and β2-microglobulin were independent risk factors of pneumonia for pneumoconiosis patients. The risk model constructed by laboratory test indexes showed a good predictive performance, which might provide laboratory evidence for the pneumonia diagnosis in patients with pneumoconiosis.

Ex Vivo Venetoclax Sensitivity Predicts Clinical Response in Acute Myeloid Leukemia in the Prospective VenEx Trial

The BCL2 inhibitor venetoclax has shown promise for treating acute myeloid leukemia (AML). However, identifying patients likely to respond remains a challenge, especially for those with relapsed/refractory (R/R) disease. We evaluated the utility of ex vivo venetoclax sensitivity testing to predict treatment responses to venetoclax-azacitidine in a prospective, multicenter, phase 2 trial conducted by the Finnish AML Group (VenEx, NCT04267081). The trial recruited 104 participants with previously untreated (n=48), R/R (n=39) or previously treated secondary AML (sAML) (n=17). The primary endpoint was complete remission or complete remission with incomplete hematologic recovery (CR/CRi) rate in ex vivo sensitive trial participants during the first three therapy cycles. The key secondary endpoints included the correlations between ex vivo drug sensitivity, responses, and survival. Venetoclax sensitivity was successfully assessed in 102/104 participants, with results available within a median of three days from sampling. In previously untreated AML, ex vivo sensitivity corresponded to an 85% (34/40) CR/CRi rate, with a median overall survival (OS) of 28.7 months, compared to 5.5 months for ex vivo resistant patients (p = 0.002). For R/R/sAML, ex vivo sensitivity resulted in a 62% CR/CRi rate (21/34) and median OS of 9.7 versus 3.3 months for ex vivo resistant patients (p < 0.001). In univariate and multivariate analysis, ex vivo venetoclax sensitivity was the strongest predictor for a favorable treatment response and survival. The VenEx trial demonstrates the feasibility of integrating ex vivo drug testing into clinical practice to identify AML patients, particularly in the R/R setting, who benefit from venetoclax.

Predictors of antenatal care services utilization by pregnant women in Afghanistan: Evidence from the Afghanistan Health Survey 2018.

Poor utilization of maternal healthcare services remains a public health concern in most low and middle-income countries (LMICs), including Afghanistan. Late, inadequate, or no utilization of antenatal care (ANC) services pose a great concern. This study assessed the predictors of ANC service utilization among Afghan pregnant women, using secondary data from the Afghanistan Health Survey 2018 (AHS2018). In this study, we used data from 10,855 ever-married women, aged 13-49 years, who gave birth in the two years prior to the survey or those women who were currently pregnant. The outcome variable was defined as a binary variable on ANC utilization (≥1 ANC visit equals 1, and zero otherwise). We fitted a binary logistic regression model and examined the associations between ANC utilization and explanatory variables, providing findings based on univariate and multivariate analysis. STATA version 17 was employed for the data analysis. Overall, 63.2%, 22.0%, and 3.1% of women had at least one ANC visit, ≥4 ANC visits, and ≥8 ANC visits during their last pregnancy, respectively. Higher odds of ANC utilization were observed in women who could read and write (AOR = 1.55, 95%CI: 1.36-1.77), whose husbands could read and write (AOR = 1.42, 95%CI: 1.29-1.56), who knew 1 sign (AOR = 1.93, 95%CI: 1.74-2.14), 2 signs (AOR = 2.43, 95%CI: 2.17-2.71) and ≥ 3 signs (AOR = 1.55, 95%CI: 1.36-1.77) of complicated pregnancy, and those with almost daily access to radio (AOR = 1.19, 95%CI: 1.08-1.327) and TV (AOR = 1.92, 95%CI: 1.73-2.13). We also found that women with one (AOR = 0.64, 95%CI: 0.49-0.84) and more than one (AOR = 0.60, 95%CI: 0.47-0.76) parity status, those for whom in-laws and others decided for their birthplace [(AOR = 0.85, 95%CI: 0.74-0.97) and (AOR = 0.63, 95%CI: 0.55-0.72), respectively], and those that resided in rural areas (AOR = 0.89, 95%CI: 0.79-1.00) had reduced odds of ANC utilization. ANC service utilization is unacceptably low by pregnant women in Afghanistan. The predictors of ANC utilization identified by the study should be considered in the design of future interventions to enhance antenatal care utilization in Afghanistan.

Leukocyte Indices as Markers of Inflammation and Predictors of Outcome in Heart Failure with Preserved Ejection Fraction

Background: The pathophysiology of heart failure (HF) with preserved ejection fraction (HFpEF) is suggested to be influenced by inflammation. Leukocyte indices, including the neutrophil–lymphocyte ratio (NLR), the monocyte–lymphocyte ratio (MLR), and the pan-immune inflammation value (PIV), can be utilized as biomarkers of systemic inflammation. Their prognostic utility is yet to be fully understood. Methods: Between December 2010 and May 2023, patients presenting to a tertiary referral center for HFpEF were included into a prospective registry. The association of the NLR, MLR, and PIV with the composite endpoint of all-cause mortality and HF-related hospitalization was tested utilizing Cox regression analysis. Results: In total, 479 patients (median 74.3, interquartile range (IQR): 69.22–78.3 years, 27.8% male) were included. Patients were observed for 43 (IQR: 11–70) months, during which a total of 267 (55.7%) patients met the primary endpoint. In a univariate Cox regression analysis, an above-the-median NLR implied a hazard ratio (HR) of 1.76 (95%-confidence interval (CI): 1.38–2.24, p &lt; 0.001), an MLR of 1.46 (95%-CI: 1.14–1.86, p = 0.003), and a PIV of 1.67, 95%-CI: 1.30–2.13, p &lt; 0.001) for the composite endpoint. After adjustment in a step-wise model, the NLR (HR: 1.81, 95%-CI: 1.22–2.69, p = 0.003), the MLR (HR: 1.57, 95%-CI: 1.06–2.34, p = 0.026), and the PIV (HR: 1.64, 95%-CI: 1.10–2.46, p = 0.015) remained significantly associated with the combined endpoint. Conclusions: The NLR, the MLR, and the PIV are simple biomarkers independently associated with outcomes in patients with HFpEF.

A Novel Mitochondrial-Related Gene Signature for the Prediction of Prognosis and Therapeutic Efficacy in Lower-Grade Glioma.

Lower-grade glioma (LGG) is a common primary brain tumor with a highly heterogeneous clinical presentation, and its prognosis cannot be accurately predicted by current histopathology. It has been found that mitochondria play an important role in hypoxia, angiogenesis, and energy metabolism in glioma, and mitochondrial function may have an important impact on LGG prognosis. The goal of this study was to develop a novel prognostic model based on Mitochondrial-related genes (MRGs). We first analyzed the somatic alterations profiles of MRGs in patients with LGG and found that somatic alterations were common in LGG and correlated with prognosis. Using RNA-seq data from TCGA and CGGA, 12 prognosis-related MRGs were identified to construct a mitochondrial activation score (MiAS) model by combining univariate regression and LASSO regression analysis. The model and nomogram were evaluated using the area under the ROC curve with AUC = 0.910. The model was closely correlated with the clinical characteristics of LGG patients and performed well in predicting the prognosis of LGG patients with significantly shorter overall survival (OS) time in the high-MiAS group. GSVA and GSEA results showed that oxidative stress, pro-cancer, and immune-related pathways were significantly enriched in the high-MiAS group. CIBERSORT results showed that MiAS was significantly associated with immune cell infiltration in LGG. Macrophage M1 and follicular helper T cells had increased infiltration in the high-MiAS group. TIDE predicted a better immunotherapy outcome in patients in the low-MiAS group. Finally, using data from the CTRPv2 and GDSC2 datasets to assess chemotherapy response in LGG, it was predicted that the chemotherapeutic agents AZD6482, MG-132, and PLX-4720 might be potential agents for patients in the high-MiAS group of LGG. In addition, we performed in vitro experiments and found that knockdown of OCIAD2 expression reduced the abilities of glioma cells to proliferate, migrate, and invade. In contrast, overexpression of OCIAD2 enhanced these abilities of glioma cells. This study found that MRGs were correlated with LGG patient prognosis, which is expected to provide new treatment strategies for LGG patients with different MiAS.

Fear of Childbirth Impairs Breastfeeding Success Independent of Mode of Birth.

Background: The good qualities of breastfeeding are well known. The aim of this study was to closely examine the impact of specific maternal, prenatal, obstetric, and early neonatal factors on the success of breastfeeding. Materials and Methods: We used data from the Kuopio Birth Cohort study and analyzed 2,521 online questionnaires, which were answered by women 1 year after giving birth. Breastfeeding variables were divided into successful breastfeeding (breastfeeding exclusively with one's own breast milk ≥4 months or breastfeeding with formula ≥6 months) and poor breastfeeding (breastfeeding exclusively with one's own milk <4 months and duration of all breastfeeding <6 months) for univariate and multivariable analyses. Results: In this study, 97.8% (N = 2,466) reported breastfeeding their newborns for ≥1 postnatal week, and 75.2% (N = 1,896) breastfed newborns for ≥6 months. The rate of breastfeeding for ≥6 months increased from 71.3% to 84.7% between 2013 and 2020. In the multivariable analysis, poor breastfeeding success was associated most significantly with smoking during pregnancy (adjusted odds ratio [aOR] 4.64; 95% confidence interval [CI] 2.75-7.81), twin pregnancy (aOR 4.13; 95% CI: 2.10-8.15), maternal obesity (body mass index > 35) (aOR 3.27; 95% CI: 2.15-4.99), fear of childbirth (aOR 2.80; 95% CI: 1.89-4.13), and birth during the period of 2013-2014 (aOR 2.94; 95% CI: 2.08-4.14) or 2015-2016 (aOR 2.62; 95% CI: 1.85-3.70). Other significant factors related to poor success were younger maternal age, nonmarried family relationships, passive or quitting smoking before or in the first trimester, any hypertensive disorder during pregnancy, birth by nonelective cesarean, and lowest or highest quartiles of birth weight. Conclusions: Mother's fear of childbirth is strongly associated with the poor breastfeeding success even after controlling for mode of birth.

Predictors of mastectomy in breast cancer patients with complete remission of primary tumor after neoadjuvant therapy: A retrospective study

IntroductionNeoadjuvant therapy (NAT) should increase the rate of breast-conserving surgery (BCS) in non-metastatic breast cancer (BC) patients, especially in those achieving tumor shrinkage. Still, the conversion from a pre-planned mastectomy to BCS in patients responding to NAT is not a widespread standard. We aimed to identify factors influencing surgical choices in this setting. Materials and methodsWe retrospectively collected data of BC patients with complete remission of primitive tumor (ypT0) after NAT, treated with BCS or mastectomy in two Italian breast units. Predictors of mastectomy were explored using logistic regression. Distant recurrence and event-free survival were assessed in the BCS and mastectomy cohort. Results243 patients were included, 147 (60.5 %) treated with BCS and 96 (39.5 %) treated with mastectomy. In the mastectomy group, there were more centrally-located, multiple and larger tumors. At univariate regression analysis, central location, baseline tumor extension on ultrasound (US) and magnetic resonance imaging (MRI), multiple foci and clinical stage were significantly associated with the chance of receiving mastectomy. At multivariate analysis, only baseline focality on US and extension on MRI retained significance as predictors of mastectomy. Distant recurrence and event-free survival were significantly longer in patients undergoing BCS. ConclusionBaseline tumor extension and focality were the main predictors of mastectomy in patients with ypT0 after NAT. However, BCS did not negatively affect survival outcomes in our cohort. An effort should be made to avoid potentially unnecessary mastectomy in this population, aiming at minimizing surgery-associated toxicities and improving patients’ quality of life.

Association Between Moyamoya Revascularization Surgery and Neurologic Events During Pregnancy: Systematic Review.

The management of moyamoya disease during pregnancy and recommendations for the mode of delivery remain controversial. We investigated factors associated with neurologic events during pregnancy in women with moyamoya disease and its association with prepregnancy surgical revascularization. We performed a literature search from January 1, 1970, through September 30, 2021, using Embase, Web of Science, Medline, and Cochrane to identify cases of moyamoya disease with pregnancy. Primary outcome was neurologic events during pregnancy and were subcategorized into antepartum, intrapartum (within 24 hours of delivery), and postpartum events. Univariate and multivariate regression analyses using pooled results were performed to assess risk factors associated with neurologic events. Fifty-two relevant studies with 182 individuals diagnosed with moyamoya before pregnancy, and 229 pregnancies were included in the study. 59% underwent surgical revascularization before pregnancy. Of the 229 pregnancies, 22 (9.6%) patients had ischemic events and 3 (1.3%) had hemorrhagic events. In addition, there were 7 (3%) seizures and 4 (1.7%) other neurologic events not associated with ischemia or hemorrhage. There were fewer neurologic events during pregnancy in patients treated with surgery than those without surgery (11% surgical vs 24% medical, P = .009). Multivariable regression analysis demonstrated prior surgical revascularization as the only factor associated with lower number of neurologic events during pregnancy (odds ratio 0.42 [95% CI 0.19-0.96]). Mode of delivery (vaginal vs cesarean section) was not associated with a difference in overall intrapartum and postpartum neurologic events. We found that prior revascularization surgery was the only factor associated with fewer neurologic events during pregnancy in women with moyamoya disease. Mode of delivery was not associated with increased neurologic events during or after delivery.

Factors related to cardiac rupture after acute myocardial infarction

BackgroundCardiac rupture (CR) after acute myocardial infarction (AMI) is a fatal mechanical complication. The early identification of factors related to CR in high-risk cases may reduce mortality. The purpose of our study was to discover relevant risk factors for CR after AMI and in-hospital mortality from CR.MethodsIn this study, we enrolled 1,699 AMI cases from October 2013 to May 2020. A total of 51 cases were diagnosed with CR. Clinical diagnostic information was recorded and analyzed retrospectively. We randomly matched these cases with AMI patients without CR in a 1:4 ratio. Univariate and multivariate logistic regression and stratifying analysis were used to identify risk factors for CR. Univariate and multivariate Cox regression hazard analysis and stratifying analysis were used to assess predictors of in-hospital mortality from CR.ResultsThe incidence of CR after AMI was 3.0% and in-hospital mortality was approximately 57%. Multivariate logistic regression analysis identified that white blood cell count, neutrophil percentage, anterior myocardial infarction, a Killip class of &amp;gt;II, and albumin level were independently associated with CR (p &amp;lt; 0.05). Stratifying analysis showed that age, systolic blood pressure, and bicarbonate were independent risk factors for female CR (p &amp;lt; 0.05) but not male CR. Triglyceride and cardiac troponin I were independent risk factors for male CR (p &amp;lt; 0.05) but not female CR. Anterior myocardial infarction, a Killip class of &amp;gt;II, and neutrophil percentage were independent risk factors for male and female CR (p &amp;lt; 0.05). Multivariate Cox regression analysis showed that the time from symptom to CR and the site of CR were independent predictors for in-hospital mortality from CR (p &amp;lt; 0.05). Stratification analysis indicated that risk factors did not differ based on gender, but platelet counts were predictors for in-hospital mortality in female and male CR.ConclusionLow albumin, a high white blood cell count, neutrophil percentage, anterior myocardial infarction, and a Killip class of &amp;gt;II were independent and significant predictors for CR. However, risk factors are different in male and female CR. The time from symptom to CR, the site of CR, and platelet counts were independent predictors for in-hospital mortality from CR. These may be helpful in the early and accurate identification of high-risk patients with CR and the assessment of prognosis. In addition, gender differences should be considered.

Efficacy of Preoperative Autologous Blood Donation for Surgical Treatment of Thoracic Spinal Stenosis: A Propensity-Matched Cohort Study.

Thoracic spinal stenosis (TSS) surgeries necessitate a substantial amount of allogeneic blood resources. However, the efficacy of preoperative autologous blood donation (PABD) in TSS surgery has not been clearly evaluated. Therefore, we aimed to evaluate the efficacy of PABD for TSS surgery. This study is a retrospective study. Totally 397 patients who underwent TSS surgeries at our institution from January 2019 to June 2023 were included. Propensity score matching (PSM) was used to make the PABD and Non-PABD groups comparable at baseline. Regarding outcome measures, the incidence and amount of allogeneic blood transfusion, changes in postoperative hemoglobin and hematocrit levels, occurrence of postoperative complications, medical costs, drainage time, length of hospital stay, and postoperative neurological function were analyzed. The outcomes were compared between the matched PABD (n = 79) and Non-PABD (n = 79) groups. Univariate analysis methods were used for statistical analysis, including independent samples t-test, Wilcoxon rank-sum test, and chi-square test. The incidence of allogeneic blood transfusion (8.9% vs. 25.3%, p = 0.006) and volume of intraoperative red blood cell (RBC) transfusion (10.12 ± 54.52 vs. 122.78 ± 275.00 mL, p < 0.001) in the PABD group were significantly lower than those in the Non-PABD group. The PABD group had significantly higher average postoperative hemoglobin and hematocrit levels than the Non-PABD group at 1, 3, and 5 days after surgery (p < 0.05). Similarly, the PABD group exhibited a smaller reduction in hemoglobin and hematocrit levels compared with the Non-PABD group on 1, 3, and 5 days postoperatively. There were no significant intergroup differences in terms of transfusion-related complications, medical expenses, neurological function, length of hospital stay, or drainage time. Notably, PABD was an independent protective factor of allogeneic transfusion in the multivariate regression analysis (OR = 0.334, 95%CI = 0.051-0.966). PABD can effectively reduce the incidence of allogeneic blood transfusion and amount of allogeneic blood in TSS surgeries with safety. It also significantly improved the postoperative hemoglobin and hematocrit levels. Under the premise of clear indications, PABD is worth promoting for the surgical treatment of TSS.

Bankruptcy Prediction and Performance: the Influence of Quality Certification on Portuguese SMEs

Objective: To observe the existence of a relationship between quality certification and performance and bankruptcy prediction for Portuguese SMEs. Theoretical Reference: The search for quality and its certification, via the International Standard Organization (ISO), theoretically, is related to the going concern assumption, making it possible to enhance the company's economic and financial sustainability. Method: Multisectoral Multivariate Discriminant Analysis (ADM) models, considered the most efficient, were selected for application, as well as the commonly used Univariate Analysis indicators. In Bureau Van Dijk's SABI Database, we collected Portuguese SMEs, with financial information from 2014 to 2018, certified in the scope of quality, ISO 9000 or 9001, on 12/31/2018, of these, we focused on those with main activity in NACE D - Electricity, Gas, Steam, Hot and Cold Water and Cold Air or G - Wholesale and Retail Trade, Repair of Motor Vehicles and Motorcycles as they are the most important. The Sector Average Company was also collected for the same NACE via Banco de Portugal Sector Tables. Then, having applied the models and indicators under study, we compared the results obtained between them, in order to observe the possible effect of quality certification on financial performance. Results and Discussion: No implication of quality certification in improving or optimizing the performance or economic-financial position of entities is identified. Implications of the Research: Uncover the influence of quality certification on the economic-financial position of companies, allowing for deeper investigation into bankruptcy, sustainability and value creation. Originality/Value: The specificities of the sectors and business size, crises and increasing closures make it vital to identify what will influence performance and sustainability, as no studies have been identified on this topic, focusing on Portuguese SMEs, certified via ISO 9000 or 9001.

The effect of work-family conflict on employee well-being among physicians: the mediating role of job satisfaction and work engagement

BackgroundWork-family conflict among physicians has many adverse consequences, like reduced work engagement and impaired well-being. However, relatively little research has been conducted on the impact of work-family conflict on specific pathways of physician well-being. The aim of this study was to determine the relationship between work-family conflict and employee well-being among physicians and to explore the mediating role of job satisfaction and work engagement in this relationship.MethodsUsing data from a cross-sectional survey of 2,480 physicians in Jilin Province, China, partial least squares structural equation modeling (PLS-SEM) was applied in this study to examine the direct and indirect effects of work-family conflict on employee well-being and to assess the mediating roles of job satisfaction and work engagement therein.ResultsThe employee well-being score of physicians in Jilin Province was 5.16 ± 1.20. The univariate analysis results indicated significant disparities in employee well-being scores across different age groups, marital statuses, and professional titles. Work-family conflict was significantly negatively associated with employee well-being, while job satisfaction and work engagement were significantly positively associated with employee well-being. In addition, job satisfaction and work engagement were found to mediate the association between work-family conflict and employee well-being, and work engagement was considered to mediate the association between job satisfaction and employee well-being.ConclusionsOur study confirms that work-family conflict negatively affects physicians’ employee well-being. Moreover, our investigation revealed that the association between work-family conflict and employee well-being is influenced by both job satisfaction and work engagement and that work engagement plays a mediating role in the link between job satisfaction and employee well-being. Therefore, we propose that hospital administrators should rationally allocate organizational resources and develop manageable schedules to enhance physicians’ employee well-being.

Outcomes of Trabeculectomy and Predictors of Success in Patients of African Ancestry with Primary Open Angle Glaucoma.

To investigate outcomes of trabeculectomy ab externo in African ancestry primary open-angle glaucoma (POAG) patients, and to analyze the impact of demographic and phenotypic factors on surgical success and complication rates. A retrospective case-control study enrolled 63 eyes of 55 POAG cases who underwent trabeculectomy ab externo. Data on demographics, family glaucoma history, surgical specifics, and pre/postoperative measures (intraocular pressure, visual acuity, visual field, medication usage, complications within one year) were collected. Analysis included linear/logistic regression models adjusting for inter-eye correlation. Trabeculectomy yielded success without additional medication in 46%, qualified success with medication in 22%, and surgical failure necessitating further intervention in 32% within one year. Subjects experienced reduction in intraocular pressure (IOP) (46%), daily glaucoma medication (73%), and eye drop usage (67%) 1-year post-trabeculectomy (all P<0.001). However, there was a postoperative decline of 56% in visual acuity (VA) (P<0.001) and a significant worsening of visual field parameters, including a 14% decrease in mean deviation (P=0.02) and a 19% decrease in visual field index (P=0.004). Top of FormBottom of Form59% of patient eyes experienced complications within one year of surgery. Univariate analysis of predictive factors for surgical outcomes revealed that younger age at surgery (P=0.01) and family history of glaucoma (P=0.046) were predictive of lower rates of surgical success. Multivariable analysis revealed worse preoperative VA (OR 0.79 per 0.1 LogMAR increases, P=0.02) was associated with lower likelihood of surgical success. This study underscores the low rates of trabeculectomy success and high rates of complications in an African ancestry population with POAG. While the procedure exhibited positive effects on IOP control and medication reduction, our analysis found that multiple factors, particularly age, family history, and worse preoperative VA play crucial roles in influencing surgical success. Trabeculectomy in African ancestry individuals with primary open-angle glaucoma shows a 46% success rate and frequent complications, indicating that younger age and family history are significant predictors of surgical failure in this high-risk population.

Development of a novel prediction model for carriage of BRCA1/2 pathogenic variant in Japanese patients with breast cancer based on Japanese organization of hereditary breast and ovarian cancer registry data.

With the increasing demand for BRCA genetic testing, most existing prediction models were developed using data from individuals of European descent. This study aimed to identify clinicopathological factors of hereditary breast and ovarian cancer (HBOC) syndrome and develop the first Japanese-specific prediction model for BRCA pathogenic variant carriers in Japan. We utilized data from 3072 Japanese patients with breast cancer aggregated by the Japanese Organization of Hereditary Breast and Ovarian Cancer registry. Prediction models were developed using 70% of the overall dataset and validated using the remaining 30%. Factors associated with the BRCA pathogenic variant status were identified using logistic univariate analysis, and significant factors were further analyzed using logistic multivariate analysis to develop prediction models for BRCA1/2 (BRCA1 and/or BRCA2), BRCA1, and BRCA2 pathogenic variants. BRCA1 showed associations with aggressive clinicopathological factors such as triple-negative breast cancer and nuclear grade 3. Moreover, the prediction model showed a high area under the curve (AUC) of 0.879. By contrast, BRCA2 exhibited fewer characteristic associated factors, and the AUC of the model was 0.669. Common factors shared by BRCA1/2, BRCA1, and BRCA2 were the age at diagnosis of breast cancer and the youngest age of relatives with breast cancer. Consistent with previous research, early-onset breast cancer appeared to be strongly associated with HBOC. We successfully developed prediction models for BRCA1/2, BRCA1, and BRCA2 pathogenic variants. By accurately stratifying patients' risk and guiding targeted screening and preventative interventions, these models will contribute to improved management and outcomes of HBOC.

Prognosis of hepatocellular carcinoma using the albumin to alkaline phosphatase ratio, literature review, and meta-analysis

Background: Data about the impact of albumin-to-alkaline phosphatase ratio (AAPR) on prognosis in hepatocellular cancer (HCC) patients are inconclusive and conflicting. Methods: The authors systematically searched literatures from seven databases (PubMed, Medline, Web of Science, Cochrane Library, Embase, Google Scholar, and CINAHL), updated to September 2023. Hazard ratios (HRs) and 95% CIs were pooled and synthesized using Comprehensive Meta-Analysis version 3 in order to assess the overall impact of AAPR on patient’s prognosis. Results: In total, 8 studies involving 13 cohorts with 3774 cases were included. Pooled results from both univariate and multivariate analyses revealed that higher AAPR was an independent prognostic factor for overall survival (HR=0.429, 95% CI: 0.361–0.509, P=0.001; HR=0.476, 95% CI: 0.421–0.538, P=0.001; respectively). Similarly, pooled multivariate results showed that higher AAPR was associated with better disease-free survival (HR=0.558, 95% CI: 0.452–0.688, P=0.001). Moreover, pooled results from both univariate and multivariate analyses revealed that higher AAPR was an independent prognostic factor for recurrence-free survival (HR=0.540, 95% CI: 0.420–0.694, P=0.001; HR=0.647, 95% CI: 0.494–0.848, P=0.002; respectively). Subgroups analysis showed that elevated AAPR still significantly correlated with better overall survival across the confounding factors. Moreover, sensitivity analysis suggested the robustness of these findings and no publication bias was detected. Conclusions: In summary, higher AAPR could be considered as a reliable prognostic factor in patients with HCC, which could be used as a routine inspection of HCC patients to individualized prognosis prediction and clinical decision making.

Lymph node ratio–based model for predicting survival and assessing the benefit of adjuvant chemotherapy in postoperative duodenal adenocarcinoma

BackgroundThis study aimed to evaluate the prognostic significance of lymph node ratio in postoperative duodenal adenocarcinoma and develop a nomogram-based model for prognosis assessment and treatment optimization. MethodsClinical information of patients with duodenal adenocarcinoma were retrieved from the Surveillance, Epidemiology, and End Results database, and prognostic factors were identified by univariate and multivariable analyses. Prognostic factors influencing patient outcomes were identified using univariate and multivariable Cox analyses. Subsequently, a novel nomogram and risk stratification system were developed based on these identified factors. ResultsA total of 943 eligible patients were included, with 656 in the training cohort and 287 in the validation cohort. Lymph node ratio ≥0.12 were associated with poorer overall survival (hazard ratio 1.562, 95% confidence interval 1.195–2.041, and P = .001 for lymph node ratio = 0.12–0.30; hazard ratio 2.431, 95% confidence interval 1.847–3.199, and P < .001 for lymph node ratio >0.30). Prognostic factors including age at diagnosis, race, T stage, lymph node ratio, and tumor size were integrated into the nomogram. Patients in the low-risk group demonstrated significantly better overall survival compared with those in the high-risk group. Additionally, adjuvant chemotherapy significantly improved overall survival in the high-risk subgroup, whereas low-risk patients might be exempt from adjuvant chemotherapy. ConclusionsThis study represented the pioneering endeavor in introducing a lymph node ratio–based nomogram model for prognosis stratification and adjuvant chemotherapy decision-making protocol for patients with duodenal adenocarcinoma, thereby guiding personalized treatment strategies and minimizing overtreatment.

Unravel the distinct effects of adiposity at different life stages on COVID-19 susceptibility and severity: A life-course Mendelian randomization study.

Childhood obesity is widely recognized as a risk factor for numerous health conditions, particularly cardiovascular disease. However, it remains unclear whether childhood adiposity directly affects the risk of COVID-19 in later life. We aimed to investigate the causal effects of early life adiposity on COVID-19 susceptibility and severity. We used genetic instruments from large-scale genome-wide association studies to examine the relationships between birth weight, childhood and adulthood adiposity indicators (including body mass index [BMI], obesity, and body size), and COVID-19 outcomes. Univariable and multivariable Mendelian randomization (MR) analyses were used to obtain the causal estimates. Univariable MR analyses found that childhood BMI and obesity were positively associated with COVID-19 risk and severity in adulthood, however, the significant associations were attenuated to null after further adjusting for adulthood adiposity indicators in multivariable MR analyses. In contrast, our analysis revealed strong evidence of a genetically predicted effect of childhood obesity on COVID-19 hospitalization (OR 1.08, 95% CI: 1.01-1.15, p = 2.12E-2), which remained robust even after adjusting for adulthood obesity and potential lifestyle confounders. Our results highlight the importance of promoting healthy weight management throughout life to reduce the risk of COVID-19.

Construction and Validation of a Prognostic Model Based on Pyroptosis-related Genes in Bladder Cancer.

Bladder cancer (BCa) is a highly prevalent disease with a poor prognosis. There is no better forecasting method for it yet. Current studies demonstrate that pyroptosis is involved in the development and progression of various cancers. This study employed bioinformatics techniques to analyze the data of BCa patients obtained from the TCGA and GEO databases in order to construct a prognostic risk model. The TCGA dataset was used for the training set, and the multiple external datasets (including GSE13507, GSE31684, GSE48075, IMvigor210, and GSE32894) were applied as the validation sets. Prognostic-associated pyroptosis genes screened by univariate Cox regression analysis were utilized to construct the lasso Cox regression model. GO and KEGG analysis results identified the selected genes that are primarily involved in the inflammation and cell death processes. The related patients were grouped into low- and high-risk groups. Kaplan-Meier survival analysis was performed to compare survival differences between the risk groups. The accuracy of this risk prediction model was assessed by ROC. We also applied the Human Protein Atlas (HPA) to detect the protein expression of these genes. Subsequently, qRT-PCR was performed to verify the expression of these model genes. There are 29 pyroptosis-related genes with significant expression differences between BCa and corresponding adjacent tissues, and 11 genes (SH2D2A, CHMP4C, MRFAP1L1, GBP2, EHBP1, RAD9A, ANXA1, TMEM109, HEYL, APOL2, ORMDL1) were picked by univariate and LASSO Cox regression analysis. Immunological cell infiltration and ssGSEA results further indicated that the low and high-risk groups were substantially correlated with the immune status of BCa patients. According to TCGA and multiple external datasets, Kaplan-Meier survival curves showed the overall survival rate of the high-risk group to be decreased. ROC curves showed the model established to be accurate and reliable. Moreover, the HPA database also demonstrated the verification of the modeled genes' expression in BCa and normal bladder tissue using the HPA database. qRT-PCR results also suggested the up-regulated EHBP1 and down-regulated RAD9A mRNA expression levels to be confirmed in 15 pairs of BCa and corresponding adjacent tissues. This study presents the development and validation of a novel gene signature associated with pyroptosis, which holds the potential for predicting patient outcomes in BCa and providing insights into the immune microenvironment of BCa.

Assessment of Left Ventricular Functional Impairment in Patients With Chronic Kidney Disease Using Three-Dimensional Speckle Tracking Imaging.

Chronic kidney disease (CKD) is strongly linked to the incidence and mortality of cardiovascular diseases (CVDs), with left ventricular myocardial damage being the most prevalent. This study aimed to assess left ventricle (LV) dysfunction using three-dimensional speckle tracking imaging (3D-STI) in CKD patients. A total of 110 CKD patients and 55 healthy volunteers underwent echocardiography. CKD patients were divided into CKD1 group and CKD2 group based on the estimated glomerular filtration rate (eGFR). Assessing cardiac function via two-dimensional speckle tracking echocardiography (2D-STE) and three-dimensional speckle tracking echocardiography (3D-STE) parameters, with strain presented in absolute terms. Collecting and comparing clinical and echocardiographic parameters from three groups, assessing 3D-STI's value in evaluating LV functional impairment in CKD patients via correlation and receiver operating characteristic (ROC) curve analyses, and identifying risk factors for CKD progression to end-stage renal disease (ESRD) through univariate and multivariate analyses. In CKD2 group, 2D-left ventricular ejection fraction (LVEF), 3D-LVEF, 2D left ventricular global longitudinal strain (2D-LVGLS), 3D-LVGLS, and 3D-left ventricular global circumferential peak strain (LVGCS) significantly worsen compared to the control and CKD1 groups, with statistically significant distinctions between the latter two (all p < 0.05). The absolute value of 3D-LVGLS shows a robust correlation with N-terminal pro-B-type natriuretic peptide (NT-proBNP) and serum creatinine (Scr) (r = -0.598, -0.649, both p < 0.001). ROC curve analysis indicates higher diagnostic efficacy of 3D-LVGLS and 3D-LVGCS for LV systolic function than 2D-LVGLS. Univariate and multivariate analyses reveal an independent association of 3D-LVGLS with the progression to ESRD in CKD. 3D-LVGLS and 3D-LVGCS effectively detect LV dysfunction in CKD patients. Specifically, 3D-LVGLS demonstrates a robust correlation with NT-proBNP and Scr and is independently linked to CKD progressing to ESRD.

Prediction and validation of pathologic complete response for locally advanced rectal cancer under neoadjuvant chemoradiotherapy based on a novel predictor using interpretable machine learning

BackgroundPrecise evaluation of pathological complete response (pCR) is essential for determining the prognosis of patients with locally advanced rectal cancer (LARC) undergoing neoadjuvant chemoradiotherapy (NCRT) and can offer clues for the selection of subsequent treatment strategies. Most current predictive models for pCR focus primarily on pre-treatment factors, neglecting the dynamic systemic changes that occur during neoadjuvant chemoradiotherapy, and are constrained by low accuracy and lack of integrity. PurposeThis study devised a novel predictor of pCR using dynamic alterations in systemic inflammation-nutritional marker indexes (SINI) during neoadjuvant therapy and developed a machine-learning model to predict pCR. MethodsTwo cohorts of patients with LARC from center one from 2012 to 2017 and from center two from 2020 to 2023 were integrated for analysis. This study compared dynamic changes in blood indexes before and after neoadjuvant therapy and surgical operation. A least absolute shrinkage and selection operator (LASSO) regression analysis was conducted to mitigate collinearity and identify key indexes, constructing the SINI. Univariate and multiple logistic regression analyses were used to identify the independent risk factors associated with pCR. Additionally, 10 machine learning algorithms were employed to develop predictive models to assess risk. The hyperparameters of the machine learning models were optimized using a random search and 10-fold cross-validation. The models were assessed by examining various metrics, including the area under the receiver operating characteristic curves (AUC), the area under the precision-recall curve (AUPRC), decision curve analysis, calibration curves, and the precision and accuracy of the internal and external validation cohorts. Additionally, Shapley’s additive explanations (SHAP) were employed to interpret the machine learning models. ResultsThe study cohort comprised 677 patients from the center one and 224 patients from the center two. Six key indexes were identified, and a predictive index, SINI, was constructed. Univariate and multiple logistic regression analyses revealed that SINI, clinical T-stage, clinical N-stage, tumor size, and the distance from the anal verge were independent risk factors for pCR in patients with LARC following NCRT. The mean AUC value of the extreme gradient boosting (XGB) model in the 10-fold cross-validation of the training set was 0.877. The XGB model demonstrated superior performance in the internal and external validation sets. Specifically, in the internal test set, the XGB model achieved an AUC of 0.86, AUPRC of 0.707, accuracy of 0.82, and precision of 0.80. In the external validation set, the XGB model exhibited an AUC of 0.83, AUPRC of 0.702, accuracy of 0.81, and precision of 0.81. Additionally, the predictions generated by the XGB model were analyzed using SHAP. ConclusionThis study involved developing and validating an XGB model using SINI to predict pCR in patients with LARC. Besides, a SINI-based machine learning model shows promise in accurately predicting pCR following NCRT in patients with resectable LARC, offering valuable insights for personalized treatment approaches.