OBJECTIVE: To explore the efficacy of a Thalassemia risk assessment software for the screening of thalassemia mutation carriers and distribution of thalassemia genotypes detected by screening. METHODS: A total of 6 040 individuals were evaluated at Leshan Maternal and Child Health Care Hospital between 2022 and 2024 using the commonly used clinical thalassemia risk assessment method and the thalassemia screening software, respectively, and the performance indicators of the two methods were compared and analyzed against the result of thalassemia gene testing. This study was approved by the Ethics Committee of our hospital (Ethics No.: LfyLL[2022]005). RESULTS: The high-risk rate by the thalassemia screening software was 11.19%, with a sensitivity of 95.12%, specificity of 93.28%, positive predictive value of 43.20%, negative predictive value of 99.72%, and the area under the ROC curve (AUC) was 0.942. The thalassemia gene detection rate of the high-risk samples screened was 4.83%. The high-risk screening rate of the conventional method was 2.50%, with a sensitivity of 51.22%, specificity of 93.28%, positive predictive value of 80.79%, negative predictive value of 97.40%, and the AUC was 0.754. The thalassemia gene detection rate of the high-risk samples was 2.02%. CONCLUSION The software can effectively detect thalassemia carriers and significantly reduce the missed detection compared with conventional method, thereby significantly improve the efficacy of screening.
Humans ; Thalassemia/diagnosis* ; Software ; Female ; Genetic Testing/methods* ; Male ; Mutation ; Adult ; Genotype ; ROC Curve ; Risk Assessment

OBJECTIVES

This study explored the interplay of three Filipino cultural values—hiya (modesty/self-restraint), pakikisama (conflict-avoidance dimension of social harmony), and pakikipag-ugnayan (professional engagement, characterized by vigor, dedication, and absorption)—among Generation Z nurses in Quezon City. Specifically, it assessed their levels, examined interrelationships through correlation and path analysis, and developed a framework to illustrate their influence on nursing practice. In the Filipino context, hiya encompasses both positive dimensions, such as conscientiousness, moral accountability, and social responsibility, and constraining dimensions, including excessive self-restraint, fear of criticism, and inhibition. Pakikisama, while fostering harmony, may discourage assertiveness and limit open communication. Pakikipag-ugnayan, conceptualized here as engagement, reflects dedication, vigor, and absorption, which are vital for performance, patient safety, and workforce retention.

A descriptive–correlational design was utilized to assess the relationships among hiya, pakikisama, and pakikipag-ugnayan. Data were gathered through a structured, self-administered questionnaire comprising validated scales for each construct, distributed in online formats to accommodate participants’ availability and work schedules. The purposive sample consisted of 115 Filipino Generation Z nurses engaged in direct patient care in various healthcare facilities in Quezon City. Data analysis involved descriptive statistics to summarize variable scores, Spearman’s rho to examine bivariate correlations, and path analysis to determine the direct and indirect effects among the variables. The results of the path analysis were used to develop a proposed framework illustrating the interplay of these cultural values in nursing practice.

Path analysis revealed distinct patterns in the interplay of hiya, pakikisama, and pakikipag-ugnayan among Generation Z nurses in Quezon City. Very high hiya scores (mean = 5.32) reflected both moral accountability and restraint-oriented tendencies. Despite these positive indicators, hiya showed a negative correlation with pakikipag-ugnayan, suggesting that its inhibiting side—marked by fear of criticism and avoidance of mistakes—may overshadow its constructive moral aspects. In contrast, the path analysis identified a moderate positive direct effect between hiya and pakikipag-ugnayan (β = 0.400, pCONCLUSION

Among Generation Z nurses, hiya demonstrates a dual role: while its ethical and conscientious aspects can strengthen pakikipag-ugnayan, its inhibiting side may suppress pakikipag-ugnayan. Pakikisama, operationalized as conflict avoidance and withholding dissent, emerged as a barrier to pakikipag-ugnayan by discouraging open communication. These findings informed the development of the Hiya–Pakikisama– Pakikipag-ugnayan Cultural Dynamics Framework, which illustrates how cultural values can simultaneously enable and constrain professional engagement. The framework has potential applications in nursing education and organizational practice, particularly in designing reflective learning, mentorship, and communication strategies that balance cultural sensitivity with assertiveness. Further validation across generations and healthcare settings is recommended to refine its applicability.

BACKGROUND

Down syndrome or trisomy 21, the most common chromosomal disorder, results from the presence of a third copy of chromosome 21 and manifests as mild to moderate intellectual disability, growth retardation, congenital heart defects, gastrointestinal abnormalities, and characteristic facial features. Several methods have been used to screen for Down syndrome in the prenatal period, such as ultrasound, biomarkers, cell-free DNA testing, and combinations of these tests. A positive result from one or more of these screening tests signals the need for confirmatory karyotyping to clinch the diagnosis. Ultrasound between 11 to 14 weeks of gestation can evaluate nuchal translucency (NT) to screen for Down syndrome. During the second trimester, a triple or quadruple test can also be performed alone or in addition to NT to quantify Down syndrome risk. In limited resource settings however, only the measurement of NT via ultrasound can be performed since biomarker tests are either unavailable or inaccessible. While the diagnostic performance of NT measurement alone has been investigated in several observational studies, there is no consensus on its performance as a sole test to screen for Down syndrome.

To determine the diagnostic performance of NT during prenatal first-trimester ultrasound as a screening test for Down syndrome.

We performed a systematic search on the PubMed, ProQuest, and Cochrane Library databases for recent systematic reviews and meta-analyses that addressed the objective. The existing reviews found were then independently appraised by the two reviewers with the AMSTAR-2 checklist. To update the existing reviews, a systematic search was done in the same databases to identify additional primary diagnostic studies, which were appraised using the QUADAS-2 tool. Random-effects univariate meta-analysis and summary receiving operator curve (HSROC) analysis for the outcomes were performed using Review Manager version 5.4 and R version 4.2.2, respectively. Subgroup analysis was performed by stratifying the baseline risk of mothers for fetal anomaly as low- or high-risk. Highrisk mothers were defined as women with risk factors such as advanced age, positive serum screen, presence of other ultrasound anomalies, and history of previous fetus with anomaly.

We found 22 cohort studies (n=225,846) of women at low-risk for fetal anomaly. The pooled sensitivity was 67.8% (95% CI: 61.4%-73.6%, I2=70.4%) and specificity was 96.3% (95% CI: 95.5%-96.9%, I2=96.7%). For low-risk women, the overall certainty of evidence was low, due to different modes of verification and heterogeneity not completely explained by variability in baseline risk or cut-points. Seven studies (n=9,197) were on high-risk women. The pooled sensitivity was 62.2% (95% CI: 54.1%-69.7%, I2=38.8%) and specificity was 96.5% (95% CI: 93.6%-98.1%, I2=95.5%). For women at high-risk, the evidence was rated as moderate due to differential verification.

Our analysis showed that NT measured through first-trimester ultrasound is specific for Down syndrome but has low sensitivity. Despite this, it is a useful screening test for Down syndrome in low-resource settings where other strategies may not be available or accessible. Furthermore, interpretation of NT results must take into consideration its limited sensitivity as this may lead to missed cases.

OBJECTIVES: To create a mixed valvular heart disease (MVHD)-related age-adjusted comorbidity index (MVACI) model for predicting mortality risk of patients with MVHD. METHODS: A total of 4080 patients with moderate or severe MVHD in the China-VHD study were included. The primary endpoint was 2-year all-cause mortality. A MVACI model prediction model was constructed based on the mortality risk factors identified by univariate and multivariate Cox regression analysis. Restricted cubic splines were used to assess the relationship between MVACI scores and 2-year all-cause mortality. The optimal threshold, determined by the maximum Youden index from receiver operator characteristic (ROC) curve analysis, was used to stratify patients. Kaplan-Meier method was used to calculate 2-year all-cause mortality and compared using the Log-rank test. Univariate and multivariate Cox proportional hazards models were employed to calculate hazard ratios (HR) and 95% confidence intervals (CI), evaluating the association between MVACI scores and mortality. Paired ROC curves were used to compare the discriminative ability of MVACI scores with the European System for Cardiac Operative Risk Evaluation Ⅱ(EuroSCORE Ⅱ) or the age-adjusted Charlson comorbidity index (ACCI) in predicting 2-year clinical outcomes, while calibration curves assessed the calibration of these models. Internal validation was performed using the Bootstrap method. Subgroup analyses were conducted based on etiology, treatment strategies, and disease severity. RESULTS: Multivariate analysis identified the following variables independently associated with 2-year all-cause mortality in patients: pulmonary hypertension, myocardiopathy, heart failure, low body weight (body mass index <18.5 kg/m²), anaemia, hypoalbuminemia, renal insufficiency, cancer, New York Heart Association (NYHA) class and age. The score was independently associated with the risk of all-cause mortality, and exhibited good discrimination (AUC=0.777, 95%CI: 0.755-0.799) and calibration (Brier score 0.062), with significantly better predictive performance than EuroSCORE Ⅱ or ACCI (both adjusted P<0.01). The internal validation showed that the MVACI model's predicted probability of 2-year all-cause mortality was generally consistent with the actual probability. The AUCs for predicting all-cause mortality risk were all above 0.750, and those for predicting adverse events were all above 0.630. The prognostic value of the score remained consistent in patients regardless of their etiology, therapeutic option, and disease severity. CONCLUSIONS The MVACI was constructed in this study based on age and comorbidities, and can be used for mortality risk prediction and risk stratification of MVHD patients. It is a simple algorithmic index and easy to use.
Humans ; Prognosis ; Comorbidity ; Heart Valve Diseases/epidemiology* ; Female ; Male ; Middle Aged ; Aged ; Proportional Hazards Models ; Risk Factors ; China/epidemiology* ; Age Factors ; Risk Assessment ; Adult ; ROC Curve

OBJECTIVE: To investigate the expression levels and combined detection efficiency of serum mean corpuscular volume (MCV), mean platelet volume (MPV), and tumor gene ( WT-1) in elderly patients with myelodysplastic syndrome (MDS). METHODS: One hundred elderly MDS patients admitted to our hospital from January 2020 to January 2021 were selected as observation group, and eighty healthy subjects during the same period were selected as control group. The levels of MCV, MPV and WT-1 were detected, and receiver operating characteristic (ROC) curve was drawn to analyze the value of combined detection of the three indicators in the prediction of MDS. The expression and correlation of MCV, MPV and WT-1 in elderly patients with MDS were analyzed and evaluated. RESULTS: The levels of MCV, MPV, and WT-1 in the observation group were higher than those in the control group (all P <0.001). Pearson correlation analysis showed that MCV was positively correlated with MPV and WT-1 (r =0.724, 0.733), while MPV was positively correlated with WT-1 (r =0.731). MCV, MPV, and WT-1 were independent influencing factors for elderly MDS (all P <0.05). The combined detection of the three indicators had the largest area under the curve (AUC) (0.873, 95%CI : 0.776-0.893) in the diagnosis of elderly MDS, with a sensitivity of 95.00%, a specificity of 90.00%, and Youden index of 0.850. The diagnostic value was significantly higher than that of a single indicator (both P <0.05). The levels of MCV, MPV, and WT-1 in severe patients were significantly higher than those in mild patients (all P <0.01). Logistic regression analysis showed that high expression of MCV, MPV, and WT-1 were influencing factors of severe elderly MDS. The ROC curve analysis showed that the combined diagnosis of MCV, MPV and WT-1 had the largest AUC for predicting severe MDS in elderly patients (0.897, 95%CI : 0.709-0.926), and the sensitivity and specificity were 93.18% and 91.07%, respectively (P <0.05). CONCLUSION MCV, MPC, and WT-1 are highly expressed in elderly patients with severe MDS. These three indicators can reflect the bone marrow hematopoietic function status of the subjects. However, compared with single indicator detection, the combined detection of the three indicators is more effective in diagnosis. It has certain advantages in elderly MDS and disease staging, and its promotion and application value is higher.
Humans ; Myelodysplastic Syndromes/blood* ; Aged ; WT1 Proteins/blood* ; Mean Platelet Volume ; Erythrocyte Indices ; ROC Curve ; Male ; Female

OBJECTIVE: To study the clinical and laboratory characteristics of monoclonal gammopathy anemia and explore the risk factors associated with anemia in monoclonal gammopathy. METHODS: A retrospective analysis was conducted on 5 539 patients who underwent immunofixation electrophoresis at the First Affiliated Hospital of Chengdu Medical College from January 2016 to February 2024. A total of 351 newly diagnosed M protein positive patients were selected as the study subjects, including 270 in the anemia group and 81 in the non-anemia group. Laboratory test results were compared between the two groups, and logistic regression models were used to analyze the risk factors for anemia. ROC curve analysis was performed to evaluate the predictive value of risk factors for anemia in monoclonal gammopathy. RESULTS: The proportion of non-anemic patients was 23.1% (81/351), with a median age of 67(60-75) years; the proportion of anemic patients was 76.9% (270/351), with a median age of 70(63-75) years. The total protein, globulin, urea, creatinine, uric acid, β₂-microglobulin, and ceruloplasmin levels in the anemia group were higher than those in the non-anemia group ( P < 0.05), while albumin, neutrophil count, lymphocyte count, monocyte count, complement C3, complement C4, haptoglobin, and transferrin levels were lower in the non-anemia group ( P < 0.05). After adjustment, multivariate logistic regression analysis shows that elevated GLB, increased β₂-MG, decreased ANC, and reduced complement C3 were independent risk factors for anemia in monoclonal gammopathy ( P < 0.05). ROC curve analysis demonstrates that GLB, β₂-MG, ANC, and complement C3 had good predictive value for anemia associated with monoclonal gammopathy. CONCLUSION Elevated GLB, increased β₂-MG, decreased ANC, and reduced complement C3 are independent risk factors for anemia in monoclonal gammopathy (P < 0.05). The combined assessment of these four factors has good predictive value for anemia in monoclonal gammopathy.
Humans ; Retrospective Studies ; Anemia/complications* ; Aged ; Middle Aged ; Paraproteinemias/diagnosis* ; Risk Factors ; Male ; Female ; Logistic Models ; ROC Curve ; Complement C3

OBJECTIVE: To explore the predictive value of age, D-Dimer and fibrinogen (FIB) for non-thrombotic. METHODS: A retrospective analysis was conducted on a total of 1 384 coagulation test cases from January to August 2024 at Nanning No. 8 People's Hospital. Among them, the control group comprised 400 non-thrombotic cases with D-Dimer test results within the reference range. The thrombotic group comprised 57 clinically diagnosed thrombotic patients. The research group comprised 927 non-thrombotic cases with D-Dimer levels exceeding the reference range. The diagnosis treatment records, age information, plasma D-Dimer, and FIB test results of each group were collected. The changes and correlations of age, D-Dimer, and FIB indicators were compared and analyzed among the three groups. A new combination factor was generated by fitting a Logistic binary regression model. ROC curves were used to evaluate the predictive value of each index for non-thrombotic disease in both the research group and the thrombotic group. RESULTS: Compared with the control group, the thrombotic group and the research group had significantly higher age, D-Dimer, and FIB levels (P < 0.001). Further comparative analysis showed that the research group had significantly lower age and D-Dimer levels than the thrombotic group, the FIB level was significantly higher than that of the thrombotic group (P < 0.001). Spearman correlation analysis showed that the correlation coefficient between age and D-Dimer in the research group was higher than that in the control group and thrombotic group (P < 0.01), the thrombotic group had the highest negative correlation coefficient between FIB and D-Dimer (P < 0.01). The ROC curve analysis results showed that the AUC values of age, plasma D-dimer, and FIB independently predicted non-thromb diseases were 0.726, 0.735, and 0.611, respectively. A new combined factor was generated by fitting age, D-dimer, and FIB with a logistic binary regression model. The AUC value of the combined prediction of non-thrombotic diseases was the maximum at 0.832, which had high diagnostic value, and its sensitivity and specificity were 0.572 and 0.070. CONCLUSION Elevated D-dimer levels were associated with age, increased FIB, and a variety of non-thrombotic diseases, and combination of age, D-dimer, and FIB had a certain predictive value for non-thrombotic diseases, but the combined model had a low specificity, other information needs to be combined in the clinic to improve diagnostic accuracy.
Humans ; Fibrin Fibrinogen Degradation Products ; Retrospective Studies ; Fibrinogen ; Predictive Value of Tests ; Thrombosis ; Age Factors ; ROC Curve ; Male ; Female ; Middle Aged ; Adult

OBJECTIVE: To investigate the predictive role of the modified Endothelial Activation and Stress Index (mEASIX) in the efficacy of chimeric antigen receptor T-cell (CAR-T) therapy and cytokine release syndrome (CRS). METHODS: The clinical data of 70 relapsed and refractory (R/R) B-cell tumor patients who were treated with CAR-T therapy from September 1, 2018 to February 28, 2023 in the Department of Hematology, Affiliated Hospital of Xuzhou Medical University, were retrospectively analyzed. The value of log-2 mEASIX before conditioning (-7 d) was calculated, and the patients were divided into a low-mEASIX group (42 patients) and a high-mEASIX group (28 patients) based on the cut-off value of 5.443 determined by the receiver operating characteristic (ROC) curve. Eventually, the predictive role of mEASIX before conditioning on the efficacy of CAR-T cell therapy and CRS was analyzed. RESULTS: The high-mEASIX group exhibited significantly worse median overall survival (OS) and median progression-free survival (PFS) in comparison to the low mEASIX group (OS: 3.2 months vs not reached, P < 0.01; PFS: 1.3 months vs 6.0 months, P =0.009). The incidence of grade ≥2 CRS in the high-mEASIX group was substantially higher than that in the low-mEASIX group (57.1% vs 19.0%, P =0.007). The degree of remission after CAR-T therapy (P =0.001), whether CRS occurs or not (P =0.041), the lactate dehydrogenase (LDH) level before conditioning (P =0.046), and the mEASIX score before conditioning (P =0.047) were independent influencing factors for the OS of patients receiving CAR-T cell therapy. CONCLUSION The mEASIX score before conditioning can predict OS and the incidence of grade ≥2 CRS in patients with relapsed and refractory B-cell tumors who receive CAR-T cell therapy.
Cytokine Release Syndrome/therapy* ; Immunotherapy, Adoptive/methods* ; Humans ; Lymphoma, B-Cell/therapy* ; Retrospective Studies ; Hematology ; China ; Receptors, Chimeric Antigen/blood* ; Predictive Value of Tests

OBJECTIVE: To investigate the predictive value of the prognostic nutritional index (PNI) and systemic inflammatory response index (SIRI) for short-term efficacy and prognosis in newly treated patients with peripheral T-cell lymphoma (PTCL). METHODS: The general data, laboratory indicators, disease stage and other clinical data of 91 newly treated PTCL patients admitted to the Affiliated Hospital of Xuzhou Medical University from January 2015 to December 2023 were retrospectively analyzed. The optimal cutoff values for PNI and SIRI were determined using receiver operating characteristic (ROC) curves, and the patients were stratified into groups based on these cutoffs to compare clinical features and short-term efficacy between the different groups. Kaplan-Meier method was used to plot survival curves, and univariate and multivariate analyses were performed to identify the factors affecting overall survival (OS). RESULTS: The optimal cutoff values for PNI and SIRI were 45.30 and 1.74×10⁹/L, respectively. Patients in different PNI groups showed statistically significant differences in age, Ann Arbor stage, lactate dehydrogenase (LDH) level, international prognostic index (IPI), prognostic index for PTCL-not otherwise specified (PIT), pathological subtypes, and complete response (CR) rate (P < 0.05). PTCL patients in different SIRI groups exhibited significant differences in Ann Arbor stage, LDH level, IPI score, PIT score, and CR rate (P < 0.05). Logistic regression analysis showed that age ≥60 years old (OR =2.750), Ann Arbor stage Ⅲ-Ⅳ (OR =5.200), IPI score ≥2 (OR =7.650), low PNI (OR =3.296), and high SIRI (OR =3.130) were independent risk factors affecting treatment efficacy in PTCL patients (P < 0.05). Cox proportional hazards regression model analysis showed that low PNI and elevated β₂-microglobulin (β₂-MG) levels were independent risk factors affecting OS (P < 0.05). CONCLUSION PNI and SIRI have certain application value in evaluating short-term efficacy and prognosis in patients with PTCL. Compared with SIRI, PNI demonstrates greater predictive value for patient prognosis.
Humans ; Prognosis ; Lymphoma, T-Cell, Peripheral/therapy* ; Retrospective Studies ; Nutrition Assessment ; Male ; Female ; Middle Aged ; ROC Curve ; Inflammation

BACKGROUND: Ferroptosis-related genes play a crucial role in regulating intracellular iron homeostasis and lipid peroxidation, and they are involved in the regulation of tumor growth and drug resistance. The expression of ferroptosis-related genes in tumor tissues can be used to predict patients' future survival times, aiding doctors and patients in anticipating disease progression. Based on the sequencing data of lung adenocarcinoma (LUAD) patients from The Cancer Genome Atlas (TCGA) database, this study identified genes involved in the regulation of ferroptosis, constructed a prognostic model, and evaluated the predictive performance of the model. METHODS: A total of 1467 ferroptosis-related genes were obtained from the GeneCards database. Gene expression profiles and clinical data from 541 LUAD patients were collected from the TCGA database. The expression data of all ferroptosis-related genes were extracted, and differentially expressed genes were identified using R software. Survival analysis was performed on these genes to screen for those with prognostic value. Subsequently, a prognostic risk scoring model for ferroptosis-related genes was constructed using LASSO regression model. Each LUAD patient sample was scored, and the patients were divided into high-risk and low-risk groups based on the median score. Receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was calculated. Kaplan-Meier survival curves were generated to assess model performance, followed by validation in an external dataset. Finally, univariate and multivariate Cox regression analyses were conducted to evaluate the independent prognostic value and clinical relevance of the model. RESULTS: Through survival analysis, 121 ferroptosis-related genes associated with prognosis were initially identified. Based on this, a LUAD prognostic risk scoring model was constructed using 12 ferroptosis-related genes (ALG3, C1QTNF6, CCT6A, GLS2, KRT6A, LDHA, NUPR1, OGFRP1, PCSK9, TRIM6, IGF2BP1 and MIR31HG). The results indicated that patients in the high-risk group had significantly shorter survival time than those in the low-risk group (P<0.001), and the model demonstrated good predictive performance in both the training set (1-yr AUC=0.721) and the external validation set (1-yr AUC=0.768). Risk scores were significantly associated with the prognosis of LUAD patients in both univariate and multivariate Cox regression analyses (P<0.001), suggesting that this score is an important prognostic factor for LUAD patients. CONCLUSIONS This study successfully established a LUAD risk scoring model composed of 12 ferroptosis-related genes. In the future, this model is expected to be used in conjunction with the tumor-node-metastasis (TNM) staging system for prognostic predictions in LUAD patients.
Humans ; Ferroptosis/genetics* ; Prognosis ; Adenocarcinoma of Lung/pathology* ; Lung Neoplasms/pathology* ; Male ; Female ; Gene Expression Regulation, Neoplastic ; Middle Aged ; ROC Curve