Improving Cancer Probability Estimation in Non-Diagnostic Bronchoscopies: A meta-analysis.

BACKGROUND: In patients with peripheral pulmonary lesions (PPL), non-diagnostic bronchoscopy, results are not uncommon. The conventional approach to estimate the probability of cancer (pCA) following bronchoscopies relies on dichotomous test assumptions, utilizing prevalence, sensitivity, and specificity to determine negative predictive value (NPV). However, bronchoscopy is a multi-disease test, raising concerns about the accuracy of dichotomous methodologies. RESEARCH QUESTION: By how much does calculating pCA using a dichotomous approach (pCAdichotomous) underestimate the true pCA when applied to multi-disease tests like bronchoscopy for the diagnosis of PPL? METHODS: Meta-analysis of cohort studies involving radial-EBUS for PPL. PRISMA guidelines were followed, constructing 2×2 contingency tables for calculating pCAdichotomous. For the multi-disease test approach, 3×3 contingency tables for calculating pCAmulti-disease using the likelihood ratio method for non-diagnostic results LR(T0) was used. Observed malignancy rates in patients with non-diagnostic results were compared to pCAdichotomous and pCAmulti-disease. RESULTS: In 46 studies (7506 patients), malignancy was the underlying diagnosis in 76%, another specific disease in 13%, and non-specific fibrosis/scar in 10%. The percentage of patients with non-diagnostic results who had malignancy matched pCAmulti-disease across all studies. In contrast, pCAdichotomous consistently underestimated cancer risk (median difference: 0.12, 25th-75th percentile: 0.06-0.23), particularly in studies with a higher prevalence of non-malignant disease. The pooled LR(T0) was 0.46 (95% CI 0.40-0.52, I2 76%, p<0.001), and correlated with the prevalence of non-malignant diseases (p=0.001). INTERPRETATION: Conventional dichotomous methods for estimating pCA after non-diagnostic bronchoscopies underestimate the likelihood of malignancy. Physicians should opt for the multi-disease test approach when interpreting bronchoscopy results.

Predictive Value of Preoperative Peripheral Blood Inflammatory Markers for Surgical Site Infection in Laparoscopic Radical Gastrectomy for Gastric Cancer.

Background: To investigate the predictive value of preoperative peripheral blood inflammatory markers for surgical site infection (SSI) in laparoscopic radical gastrectomy for gastric cancer. Methods: A retrospective analysis was conducted on patients undergoing laparoscopic radical gastrectomy for gastric cancer, categorized into SSI and non-SSI groups based on postoperative SSI occurrences. Patient demographics, surgical details, laboratory results, and SSI incidence data were extracted. Differences in indicators, including neutrophil-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and platelet-lymphocyte ratio (PLR), were assessed between the two groups. Multivariate logistic regression was utilized to determine the independent association of each indicator with SSI. Receiver operating characteristics (ROC) curve analysis was utilized to evaluate the predictive value of parameters. Results: Of 169 patients, 36 (21.30%) experienced SSI postoperatively. The SSI group exhibited higher preoperative NLR and SII (p < 0.05). After adjusting for variables, preoperative NLR (OR = 1.691, 95% CI: 1.211-2.417, p = 0.003) and SII (OR = 1.001, 95% CI: 1.000-1.002, p = 0.006) were identified as independent risk factors for SSI. Both NLR (AUC = 0.758, 95% CI: 0.666-0.850) and SII (AUC = 0.753, 95% CI: 0.660-0.850) demonstrated favorable diagnostic performance for predicting postoperative SSI. Conclusion: Preoperative NLR and SII significantly associate with postoperative SSI in laparoscopic radical gastrectomy for gastric cancer, making them valuable indicators for early prediction of SSI.

Innovation through Artificial Intelligence in Triage Systems for Resource Optimization in Future Pandemics.

Artificial intelligence (AI) systems are already being used in various healthcare areas. Similarly, they can offer many advantages in hospital emergency services. The objective of this work is to demonstrate that through the novel use of AI, a trained system can be developed to detect patients at potential risk of infection in a new pandemic more quickly than standardized triage systems. This identification would occur in the emergency department, thus allowing for the early implementation of organizational preventive measures to block the chain of transmission. MATERIALS AND METHODS: In this study, we propose the use of a machine learning system in emergency department triage during pandemics to detect patients at the highest risk of death and infection using the COVID-19 era as an example, where rapid decision making and comprehensive support have becoming increasingly crucial. All patients who consecutively presented to the emergency department were included, and more than 89 variables were automatically analyzed using the extreme gradient boosting (XGB) algorithm. RESULTS: The XGB system demonstrated the highest balanced accuracy at 91.61%. Additionally, it obtained results more quickly than traditional triage systems. The variables that most influenced mortality prediction were procalcitonin level, age, and oxygen saturation, followed by lactate dehydrogenase (LDH) level, C-reactive protein, the presence of interstitial infiltrates on chest X-ray, and D-dimer. Our system also identified the importance of oxygen therapy in these patients. CONCLUSIONS: These results highlight that XGB is a useful and novel tool in triage systems for guiding the care pathway in future pandemics, thus following the example set by the well-known COVID-19 pandemic.

The early predictive value of maternal serum PAPP-A concentration at 11-14 weeks of pregnancy for preeclampsia.

INTRODUCTION: To determine the expression and clinical significance of maternal serum pregnancy-associated plasma protein A (PAPP-A) in pregnant women with different degrees of preeclampsia at 11-14 weeks of gestation. MATERIAL AND METHODS: The clinical data of 65 pregnant women with preeclampsia admitted to our hospital from January 2020 to October 2022 were retrospectively analysed. Another 45 normal pregnant women who came to our hospital for prenatal examination and delivery during the same period were selected as the healthy control group. The serum contents of PAPP-A, a-fetoprotein (AFP) and free estriol (uE3) in each group were compared. The correlation between PAPP-A and AFP as well as uE3 was analysed by Pearson analysis. The clinical value of serological indexes in diagnosing preeclampsia was analysed using ROC curve. RESULTS: The levels of PAPP-A and uE3 in pregnant women in the preeclampsia group were lower, while the contents of AFP were higher than these in the healthy control group ( p < 0.01). The pregnant women with severe preeclampsia had lower levels of PAPP-A and uE3 with higher levels of AFP compared to these with mild preeclampsia ( p < 0.001). Pearson correlation analysis showed that serum PAPP-A was negatively correlated with AFP ( r = -0.246, p < 0.05) and positively correlated with uE3 ( r = 0.398, p < 0.01) in preeclampsia patients. ROC curve analysis demonstrated that the area under the curve (AUC) of PAPP-A, AFP and uE3 to assist in the diagnosis of preeclampsia was 0.740, 0.738 and 0.806, respectively. The AUC of the combination of PAPP-A, AFP and uE3 to assist in the diagnosis was 0.912, with a sensitivity of 90.38% and a specificity of 80.33%. The clinical assisted diagnostic value of combined detection was high. CONCLUSIONS: The serum level of PAPP-A in pregnant women with preeclampsia in the early pregnancy was significantly lower and related to the severity of the disease. The combination of routine detection for AFP and uE3 had a good predictive value for preeclampsia, which was helpful to take relevant interventions to reduce the incidence of preeclampsia as early as possible, and had a positive impact on protecting maternal and infant health.

What does "palliative care" represent in research using secondary data?

While much research has been done regarding "palliative care" using retrospective cohort studies of large datasets, the data sources may not be capturing specialty palliative care services. This article aims to clarify what source data are used in such studies, how specialty palliative care services are determined to have been provided or not, and mismatches between the nature of the data and the interpretation of researchers. Major US data sources that are examined include cancer registries such as the National Cancer Database; health systems' internal data; state and nation-level hospital admissions data; and claims data from Medicare and commercial payers. Problematic studies are common. Many used cancer registry data and mischaracterized palliative intent for a given cancer treatment as "palliative care services." Dozens relied on the diagnosis code for "encounter for palliative care" which lacks adequate validity for use in research. Researchers, peer-reviewers, and research consumers are cautioned about these potential pitfalls that lead to meaningless or misleading research papers. Suggestions are made regarding more rigorous methods and trustworthy data sources and additional research that can lead to consensus among researchers on these issues.

Analysis and Modelling of the Predictive Value of PCT, PLR and NLR for Ureteric Sepsis after Ureteral Stone Surgery: A Retrospective Cohort Study.

OBJECTIVE: This study aimed to analyse the value of procalcitonin (PCT), neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in predicting postoperative ureteral stone complications of urogenic sepsis. The production of a clinical prediction model could provide additional direction to reduce the likelihood of postoperative urogenital sepsis. METHODS: The clinical data of 520 patients with ureteral stones who underwent surgical treatment from January 2022, to September 2023, in the hospital were retrospectively analysed. The patients were divided into urogenic sepsis group (n = 42) and non-urogenic sepsis group (n = 478) in accordance with the occurrence of urogenic sepsis in the postoperative period. The peripheral blood PCT, PLR and NLR levels were collected within 24 h postoperatively in the two groups. The receiver operating characteristic (ROC) curve was employed to evaluate the predictive value of PCT, PLR and NLR levels for postoperative urogenital sepsis in patients with ureteral stones. RESULTS: Logistic regression analysis showed that PCT (odds ratio (OR) = 4.25, 95% CI: 1.85-9.78), PLR (OR = 4.00, 95% CI: 1.78-9.05) and NLR (OR = 2.29, 95% CI: 1.05-5.01) were risk factors for postoperative complication sepsis in patients with ureteral stones (p < 0.05). The ROC curves showed that the areas under the curve of PCT, PLR and NLR levels alone and in combination for predicting urogenic sepsis complications after emergency ureteral stone surgery were 0.683, 0.692, 0.611 and 0.799, respectively. CONCLUSIONS: Urogenic sepsis leads to increased serum PCT, NLR and PLR levels in patients undergoing surgical treatment for ureteral stones. Physicians should pay close attention to these indices to provide further theoretical support for reducing postoperative urogenic sepsis.

Characteristics of Neonatal Sepsis and Predictive Values of Polyfunctional Assessment of Umbilical Cord Neutrophils Based on Single Cell Proteomic Secretion.

The early diagnosis of neonatal sepsis is crucial as it remains a prevalent cause of neonatal mortality. In this study, we conducted an analysis on the clinical data and detection indicators of 22 cases with sepsis and 62 cases without sepsis among neonates. Our findings indicate that the clinical signs observed in neonates with sepsis lack specificity. In addition, the commonly used clinical inflammatory indicators (such as leukocyte count, neutrophil-to-lymphocyte ratio [NLR], C-reactive protein [CRP], procalcitonin) exhibit limited sensitivity and specificity. Furthermore, the current clinical measures lack the assessment of inflammatory factors. Therefore, in order to enhance the accuracy of early sepsis diagnosis in neonates, we have employed a novel microfluidic-based single-cell technology platform for the analysis of 32 cytokines secreted by neutrophils at the individual cell level under various toxin stimulation conditions. We have further investigated and compared the disparities in single-cell protein secretomics between umbilical cord blood neutrophils and healthy adult peripheral neutrophils within an in vitro sepsis model. Our findings indicate that in a resting state UCB neutrophils exhibited lower polyfunctionality compared with healthy adult blood neutrophils, and notable variations in cytokine secretion profiles were detected between the two groups. However, the polyfunctionality of UCB neutrophils significantly increased and surpassed that of healthy adult neutrophils when exposed to alpha-hemolysin or lipopolysaccharide. UCB neutrophils secreted a wide range of chemokines and inflammatory factors, among which GM-CSF and IL-18 were the most significant. Furthermore, we initially categorized the functional subgroups of neutrophils by considering the secretion of five primary cytokines by neutrophils (GM-CSF, IL-18, IL-8, MIP-1ß, and MIF). The current study, for the first time, examined in detail the heterogeneity of protein secretion and the functional diversity of UCB neutrophils stimulated by different antigens. Moreover, new insight into neonatal sepsis, early diagnosis, and wider clinical applications of UCB neutrophils are provided by these data.

Impact of Latency Variations on the Predictive Value of Facial Nerve Proximal-to-Distal Amplitude Ratio during Vestibular Schwannoma Surgery.

Introduction This study highlights the relation between compound muscle action potential (CMAP) latency variations and the predictive value of facial nerve (FN) proximal-to-distal (P/D) amplitude ratio measured at the end of vestibular schwannoma resection. Methods Forty-eight patients underwent FN stimulation at the brainstem (proximal) and internal acoustic meatus (distal) using a current intensity of 2 mA. The proximal latency and the P/D amplitude ratio were assessed. House-Brackmann grades I & II indicated good FN function, and grades III to VI were considered fair/poor function. A P/D amplitude ratio > 0.6 was used as a cutoff to indicate a good FN function, while a ratio of ≤ 0.6 indicated a fair/poor FN function. Results The P/D amplitude ratio was measured for all patients, and the calculated sensitivity (SE), specificity (SP), positive predictive value (PPV), and negative predictive value (NPV) were 85.2, 85.7, 88.5, and 81.8%, respectively. The CMAPs from the mentalis muscle were then classified based on their proximal latency into group I (< 6 ms), group II (6-8 ms), and group III (> 8 ms). The SE, SP, PPV, and NPV became 90.5, 90.9, 95, and 83.3%, respectively, in group II. In group I, SE and NPV increased, whereas SP and PPV decreased. While in group III, SP and PPV increased, whereas SE and NPV decreased. Conclusion At a latency between 6 and 8 ms, the P/D amplitude ratio was predictive of outcomes with high SE and SP. When latency was < 6 ms or > 8 ms, the same predictive ability was not observed. Knowing the strengths and limitations is important for understanding the predictive value of the P/D amplitude ratio.

Predictive value of total cholesterol to high-density lipoprotein cholesterol ratio for chronic kidney disease among adult male and female in Northwest China.

Background: Studies have found that the ratio of total cholesterol to high-density lipoprotein cholesterol (TC/HDL-C) was associated with the development of chronic kidney disease (CKD). However, the relationship in different genders was rarely discussed. The aim of this study was to explore this relationship and assess its predictive power for both males and females. Methods: Based on a prospective cohort platform in northwest China, 32,351 participants without CKD were collected in the baseline and followed up for approximately 5 years. Cox proportional hazard model and restricted cubic spline regression analysis were performed to investigate the association between TC, HDL-C, TC/HDL-C and CKD in adult female and male. The clinical application value of the indicators in predicting CKD was evaluated by the receiver operator characteristic curve. Results: During a mean follow-up of 2.2 years, 484 males and 164 females developed CKD. After adjusted for relevant confounders, for every one standard deviation increase in TC, HDL-C and TC/HDL-C, the hazard ratios (HRs) and 95% confidence intervals (95% CIs) for CKD were 1.17 (1.05-1.31), 0.84 (0.71-0.99), and 1.15 (1.06-1.25) for males, 0.94 (0.78-1.13), 0.58 (0.35-0.95), and 1.19 (1.01-1.40) for females, respectively. The results also showed that TC, HDL-C, and TC/HDL-C were associated with CKD in a linear dose-response relationship. The TC/HDL-C had the largest area under the curve (AUC) compared to TC and HDL-C, and the AUC among the females was larger than that among males. Conclusions: The TC/HDL-C was significantly associated with CKD in adult males and females and has better clinical value in predicting CKD than TC and HDL-C, especially in females.

Prediction of acute coronary syndrome in patients with myeloproliferative neoplasms.

Background: Patients with myeloproliferative neoplasms (MPN) are exposed to a higher risk of cardiovascular disease, especially cardiovascular calcification. The present research aimed to analyze the clinical features and coronary artery calcium score (CACS) in MPN patients, and construct an effective model to predict acute coronary syndrome (ACS) in MPN patients. Materials and methods: A total of 175 MPN patients and 175 controls were recruited from the First Affiliated Hospital of Ningbo University. Based on cardiovascular events, the MPN patients were divided into the ACS group and the non-ACS group. Multivariate Cox analysis was completed to explore ACS-related factors. Furthermore, ROC curves were plotted to assess the predictive effect of CACS combined with white blood cells (WBC) and platelet for ACS in MPN patients. Results: The MPN group exhibited a higher CACS than the control group (133 vs. 55, P < 0.001). A total of 16 patients developed ACS in 175 MPN patients. Compared with non-ACS groups, significant differences in age, diabetes, smoking history, WBC, percentage of neutrophil, percentage of lymphocyte, neutrophil count, hemoglobin, hematocrit, platelet, lactate dehydrogenase, ß 2-microglobulin, and JAK2V617F mutation were observed in the ACS groups. In addition, the CACS in the ACS group was also significantly higher than that in the non-ACS group (374.5 vs. 121, P < 0.001). The multivariable Cox regression analysis identified WBC, platelet, and CACS as independent risk factors for ACS in MPN patients. Finally, ROC curves indicated that WBC, platelet, and CACS have a high predictive value for ACS in MPN patients (AUC = 0.890). Conclusion: CACS combined with WBC and platelet might be a promising model for predicting ACS occurrence in MPN patients.

Enhancing Cervical Cancer Screening with 7-Type HPV mRNA E6/E7 Testing on Self-Collected Samples: Multicentric Insights from Mexico.

Cervical cancer remains a significant public health issue, particularly in regions with low screening uptake. This study evaluates the effectiveness of self-sampling and the 7-type HPV mRNA E6/E7 test in improving cervical cancer screening outcomes among a referral population in Mexico. A cohort of 418 Mexican women aged 25 to 65, referred for colposcopy and biopsy due to abnormal cytology results (ASC-US+), participated in this study. Self-samples were analyzed using both the 14-type HPV DNA test and the 7-type HPV mRNA E6/E7 test. The study assessed the sensitivity, specificity, positive predictive value (PPV), and the necessity of colposcopies to detect CIN3+ lesions. Participant acceptability of self-sampling was also evaluated through a questionnaire. The 7-type HPV mRNA E6/E7 test demonstrated equivalent sensitivity but significantly higher specificity (77.0%) and PPV for CIN3+ detection compared to the 14-type HPV DNA test (specificity: 45.8%, p < 0.001). The use of the HPV mRNA test as a triage tool reduced the number of colposcopies needed per CIN3+ case detected from 16.6 to 7.6 (p < 0.001). Self-sampling was highly accepted among participants, with the majority reporting confidence in performing the procedure, minimal discomfort, and willingness to undertake self-sampling at home. Self-sampling combined with the 7-type HPV mRNA E6/E7 testing offers a promising strategy to enhance cervical cancer screening by improving accessibility and ensuring precise diagnostics. Implementing these app roaches could lead to a significant reduction in cervical cancer morbidity and mortality, especially in underserved populations. Future research should focus on the long-term impact of integrating these methods into national screening programs and explore the cost-effectiveness of widespread implementation.

Predictive value of dynamic arterial elastance for vasopressor withdrawal: a systematic review and meta-analysis.

BACKGROUND: Dynamic arterial elastance (Eadyn) has been investigated for its ability to predict hypotension during the weaning of vasopressors. Our study focused on assessing Eadyn's performance in the context of critically ill adult patients admitted to the intensive care unit, regardless of diagnosis. MAIN BODY: Our study was conducted in accordance with the Preferred Reported Items for Systematic Reviews and Meta-Analysis checklist. The protocol was registered in PROSPERO (CRD42023421462) on May 26, 2023. We included prospective observational studies from the MEDLINE and Embase databases through May 2023. Five studies involving 183 patients were included in the quantitative analysis. We extracted data related to patient clinical characteristics, and information about Eadyn measurement methods, results, and norepinephrine dose. Most patients (76%) were diagnosed with septic shock, while the remaining patients required norepinephrine for other reasons. The average pressure responsiveness rate was 36.20%. The synthesized results yielded an area under the curve of 0.85, with a sensitivity of 0.87 (95% CI 0.74-0.93), specificity of 0.76 (95% CI 0.68-0.83), and diagnostic odds ratio of 19.07 (95% CI 8.47-42.92). Subgroup analyses indicated no variations in the Eadyn based on norepinephrine dosage, the Eadyn measurement device, or the Eadyn diagnostic cutoff to predict cessation of vasopressor support. CONCLUSIONS: Eadyn, evaluated through subgroup analyses, demonstrated good predictive ability for the discontinuation of vasopressor support in critically ill patients.

Assessing the predictive value of the controlling nutritional status score on all-cause mortality during hospitalization in patients with acute decompensated heart failure: a retrospective cohort study from Jiangxi, China.

Objective: Nutritional status is closely associated with the prognosis of heart failure. This study aims to assess the relationship between the Controlling Nutritional Status (CONUT) score and in-hospital mortality among patients with acute decompensated heart failure (ADHF) in Jiangxi, China. Methods: A retrospective cohort study was conducted. Multivariable Cox regression models and restricted cubic spline regression were employed to evaluate the relationship between the CONUT score and in-hospital mortality in ADHF patients from Jiangxi, China. The predictive value of the CONUT score for in-hospital mortality in ADHF patients was analyzed using receiver operating characteristic curves. Subgroup analyses were performed to identify risk dependencies of the CONUT score in specific populations. Results: The study included 1,230 ADHF patients, among whom 44 (3.58%) mortality events were recorded. After adjusting for confounding factors, a positive correlation was found between the CONUT score and the risk of in-hospital mortality in ADHF patients. Restricted cubic spline regression analysis indicated a non-linear relationship between the CONUT score and the risk of in-hospital mortality in ADHF patients, estimating a rapid increase in mortality risk when the CONUT score exceeded 5. Receiver operating characteristic analysis demonstrated a good predictive value of the CONUT score for all-cause mortality events in ADHF patients [area under the curve = 0.7625, optimal threshold = 5.5]. Additionally, a relatively higher risk associated with the CONUT score was observed in male patients and those with concomitant cerebral infarction. Conclusion: This study reveals a positive correlation between the CONUT score and the risk of in-hospital mortality in ADHF patients. Based on the findings of this study, we recommend maintaining a CONUT score below 5 for patients with ADHF in Jiangxi, China, as it may significantly contribute to reducing the risk of in-hospital all-cause mortality.

Anti-Müllerian hormone does not predict cumulative pregnancy rate in non-infertile women following four IUI cycles with donor sperm.

PURPOSE: To evaluate the predictive value of serum AMH for clinical pregnancy in non-infertile population undergoing intrauterine insemination with donor sperm (ds-IUI). METHODS: This multicenter prospective study (ClinicalTrials.gov ID: NCT06263192) recruited all non-infertile women undergoing ds-IUI from June 2020 to December 2022 in three different fertility clinics in Spain and Chile. Indications for ds-IUI included severe oligoasthenoteratozoospermia, female partner, or single status. Clinical pregnancy rates were compared between women with AMH ≥ 1.1 and < 1.1 ng/mL. The main outcome measure was the cumulative clinical pregnancy rate after up to 4 ds-IUI cycles. RESULTS: A total of 458 ds-IUI cycles were performed among 245 patients, of whom 108 (44.08%) achieved clinical pregnancy within 4 cycles, 60.2% of these occurring in the first attempt and 84.2% after two attempts. We found no significant differences in AMH levels or other parameters (such as age, BMI, FSH, AFC) between women who became pregnant and those who did not. Cumulative pregnancy rates and logistic regression analysis revealed that AMH ≥ 1.1 ng/mL was not predictive of ds-IUI success. While a high positive correlation was observed between AFC and AMH (r = 0.67, p < 0.001), ROC curve analyses indicated that neither of these ovarian reserve markers accurately forecasts cumulative ds-IUI outcomes in non-infertile women. CONCLUSIONS: The findings of this multicenter study suggest that AMH is not a reliable predictor of pregnancy in non-infertile women undergoing ds-IUI. Even women with low AMH levels can achieve successful pregnancy outcomes, supporting the notion that diminished ovarian reserve should not restrict access to ds-IUI treatments in eligible non-infertile women.

Comparative assessment of the capability of machine learning-based radiomic models for predicting omental metastasis in locally advanced gastric cancer.

The study aims to investigate the predictive capability of machine learning algorithms for omental metastasis in locally advanced gastric cancer (LAGC) and to compare the performance metrics of various machine learning predictive models. A retrospective collection of 478 pathologically confirmed LAGC patients was undertaken, encompassing both clinical features and arterial phase computed tomography images. Radiomic features were extracted using 3D Slicer software. Clinical and radiomic features were further filtered through lasso regression. Selected clinical and radiomic features were used to construct omental metastasis predictive models using support vector machine (SVM), decision tree (DT), random forest (RF), K-nearest neighbors (KNN), and logistic regression (LR). The models' performance metrics included accuracy, area under the curve (AUC) of the receiver operating characteristic curve, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). In the training cohort, the RF predictive model surpassed LR, SVM, DT, and KNN in terms of accuracy, AUC, sensitivity, specificity, PPV, and NPV. Compared to the other four predictive models, the RF model significantly improved PPV. In the test cohort, all five machine learning predictive models exhibited lower PPVs. The DT model demonstrated the most significant variation in performance metrics relative to the other models, with a sensitivity of 0.231 and specificity of 0.990. The LR-based predictive model had the lowest PPV at 0.210, compared to the other four models. In the external validation cohort, the performance metrics of the predictive models were generally consistent with those in the test cohort. The LR-based model for predicting omental metastasis exhibited a lower PPV. Among the machine learning algorithms, the RF predictive model demonstrated higher accuracy and improved PPV relative to LR, SVM, KNN, and DT models.

Diagnostic Value of Superb Microvascular Imaging of the Rotator Cuff Interval for the Early Diagnosis of Frozen Shoulder.

Purpose: To explore the early diagnostic value of superb microvascular imaging (SMI) features within the rotator cuff gap for frozen shoulder. Patients and Methods: This prospective study enrolled patients with acute early-stage frozen shoulder seeking treatment at Zhabei Central Hospital in Jing'an District, Shanghai, between July 2021 and December 2022 were enrolled in this study. Healthy controls were collected in a 1:1 ratio from the same hospital's physical examination center. All participants underwent SMI and power Doppler ultrasound (PDUS) of the rotator cuff gap. Results: The study included 79 patients with frozen shoulder and 77 healthy controls. Compared with the healthy control group, the patient group had a higher proportion of hypoechoic rotator cuff gap (81.0% vs 48.1%, P<0.001), a thicker coracohumeral ligament (2.60±1.01 vs 2.03±0.97, P<0.001), a thicker glenohumeral joint capsule (3.10±0.99 vs 2.46±1.17, P<0.001), and elevated blood grading using SMI (P<0.001) and PDUS (P=0.014). The highest area under the curve (AUC) was observed for SMI blood flow grading (AUC=0.824, 95% CI: 0.755-0.880, P<0.001), resulting in 82% sensitivity and 77% specificity when using a cutoff of 1. SMI blood flow grading was associated with external rotation <30° (P=0.007) and abduction <30° (P=0.013) but not with internal rotation <30° (P=0.630) or flexion <30° (P=0.562). Conclusion: The grading of SMI blood flow may emerge as a valuable predictive indicator for the early stages of frozen shoulder. This simple ultrasound technique holds the potential to enhance the diagnostic process, enabling early initiation of treatment and potentially improving patient outcomes.

Comparison of Performance Characteristics in Early Warning Scoring Tools for Diagnosis of Intubation and Mortality Among COVID-19 Patients.

INTRODUCTION: Early warning scores serve as valuable tools for predicting adverse events in patients. This study aimed to compare the diagnostic performance of National Early Warning Score, Hamilton Early Warning Score, Standardized Early Warning Score, and Triage Early Warning Score in forecasting intubation and mortality among patients with coronavirus disease 2019. METHODS: This predictive correlation study included 370 patients admitted to the emergency department of 22 Bahman Hospital in Neyshabur, Iran, from December 2021 to March 2022. The aforementioned scores were assessed daily upon patient admission and throughout a 1-month hospitalization period, alongside intubation and mortality occurrences. Data analysis used SPSS 26 and MEDCALC 20.0.13 software. We adhered to the Standards for Reporting of Diagnostic Accuracy Studies guidelines to ensure the accurate reporting of our study. RESULTS: The patients' mean age was 65.03 ± 18.47 years, with 209 (56.5%) being male. Both Standardized Early Warning Score and Hamilton Early Warning Score demonstrated high diagnostic performance, with area under the curve values of 0.92 and 0.95, respectively. For Standardized Early Warning Score, the positive likelihood ratio was 10.81 for intubation and 17.90 for mortality, whereas for Hamilton Early Warning Score, the positive likelihood ratio was 7.88 for intubation and 10.40 for mortality. The negative likelihood ratio values were 0.23 and 0.17 for Standardized Early Warning Score and 0.21 and 0.18 for Hamilton Early Warning Score, respectively, for the 24-hour period preceding intubation events and mortality. DISCUSSION: Findings suggest that Standardized Early Warning Score, followed by Hamilton Early Warning Score, has superior diagnostic performance in predicting intubation and mortality in patients with coronavirus disease 2019 within 24 hours before these outcomes. Therefore, serial assessments of Hamilton Early Warning Score or Standardized Early Warning Score may be valuable tools for health care providers in identifying high-risk patients with coronavirus disease 2019 who require intubation or are at increased risk of mortality.

Performance analysis of non-invasive prenatal testing for trisomy 13, 18, and 21: A large-scale retrospective study (2018-2021).

Background: Non-invasive prenatal tests (NIPT) are used to screen for trisomy 21, 18, and 13. This study investigated NIPT performance and the clinical significance of its results. Methods: Pregnant women (n = 282,911) participating in a free NIPT (April 2018-December 2021) were screened for common trisomies, and the results were retrospectively analyzed. NIPT performance was evaluated by its positive predictive value (PPV), sensitivity, and specificity. Results were analyzed using number, percentage, and chi-squared/t-test analyses. Results: After NIPT screening, patients with common trisomies (n = 746) included 457 with T21, 160 with T18, and 129 with T13. Seven false negative cases were identified. High PPV (86.81 %, 56.81 %, 18.18 %), sensitivity (99.25 %, 98.33 %, 100.00 %), and specificity (99.98 %, 99.98 %, 99.97 %) values were detected for trisomy 21, 18, and 13, respectively. The PPVs of common trisomies were significantly different between pregnant women older than 35 (85.53 %, 136/159) and those aged 35 or younger (58.90 %, 311/528) (χ2 = 125.02, P = 2.20e-16). As the NIPT uptake increased from 2018 to 2021, live-born birth defect incidence decreased. Conclusion: NIPT performed well in screening for T21, T18, and T13. Our discoveries offer an important and useful guideline in laboratory and clinical genetic counseling.

Prognostic value of serum albumin in heart failure patients with cardiac resynchronization therapy.

Aim: There is a lack of data about the association between admission serum albumin levels and long-term mortality in heart failure (HF) patients with cardiac resynchronization therapy defibrillators (CRT-D). We aim to investigate this connection in HF patients with CRT-D. Methods: The study population consisted of 477 HF patients with CRT-D. The cohort was divided into three groups according to albumin values, and the relationship between these groups and long-term mortality were evaluated. Results: Long-term all-cause mortality (HR: 3.32, 95% CI: 2.12-6.84), appropriate (HR: 4.44, 95% CI: 2.44-8.06) and inappropriate (HR: 2.95, 95% CI: 1.88-6.02) shocks were higher in the low albumin group. Conclusion: Low albumin levels are associated with the long-term mortality and appropriate shock treatment in HF patients with CRT-D.

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Verification of the termination of resuscitation rules in pediatric out-of-hospital cardiac arrest cases.

Aim: Pediatric out-of-hospital cardiac arrest has an unfavorable prognosis; therefore, making accurate predictions of outcomes is crucial for tailoring treatment plans. The termination of resuscitation rules must accurately predict unfavorable outcomes. In this study, we aimed to assess if the current termination of resuscitation rules for adults can predict factors associated with unfavorable outcomes in pediatric out-of-hospital cardiac arrest and examine the relationship between these factors and unfavorable outcomes. Methods: A retrospective nationwide cohort study of pediatric cases registered in the Japanese Association for Acute Medicine Multicenter Out-of-Hospital Cardiac Arrest Registry from June 1, 2014, to December 31, 2020, was conducted. The association between the current termination of resuscitation rules and outcomes, such as 30-day mortality and unfavorable 30-day neurological outcomes following out-of-hospital cardiac arrest, was evaluated. Results: A total of 1,216 participants were included. The positive predictive value for predicting 30-day mortality for each termination of resuscitation rule exceeded 0.9. The specificity and positive predictive value for predicting unfavorable 30-day neurological outcomes were 1.00, indicating that no rules identified favorable outcomes. Factors such as no bystander witness, no return of spontaneous circulation before hospital arrival, no automated external defibrillator or defibrillator use, and no bystander cardiopulmonary resuscitation were associated with poor 30-day mortality and neurological outcomes. Conclusion: Adult termination of resuscitation rules had a high positive predictive value for predicting pediatric out-of-hospital cardiac arrest. However, surviving cases make it challenging to use these rules for end-of-resuscitation decisions, indicating the need for identifying new rules to help predict neurological outcomes.