[Objective] To establish a cryopreservation protocol for small-volume (≤1 mL) red blood cells (RBCs) and to evaluate the reactivity and stability of blood group antigens after cryopreservation, so as to explore its potential application in immunohematology reference laboratories. [Methods] Small-volume RBCs were cryopreserved for 120 days, followed by thawing and deglycerolization to restore the RBC components. The quality of the RBCs was assessed. Serum antibodies were serially diluted and reacted with RBCs before and after cryopreservation, and agglutination scores were recorded to quantitatively evaluate the reactivity and stability of blood group antigens such as Rh, Duffy, Lewis, Kidd, M, and H. Flow cytometry was used to analyze the percentage and mean fluorescence intensity of ABO antigen expression on RBCs before and after cryopreservation to assess the usability of cryopreserved RBCs in flow immunophenotyping and blood group subtype studies. [Results] The hemolysis rate of thawed and deglycerolized RBCs was (0.27±0.10)%, with a supernatant free hemoglobin level of (0.52±0.14) g/L, and the RBC recovery rate was (69.12±7.91)%. The direct antiglobulin test (DAT) was negative for all thawed RBCs. There was no difference in the reactivity of blood group antigens before and after cryopreservation, and no difference in the percentage and mean fluorescence intensity of A and B antigen expression on RBCs before and after cryopreservation. [Conclusion] The small-volume RBC cryopreservation protocol can be applied to immunohematology analysis in reference laboratories and is expected to be widely used in blood group identification, antibody screening, identification, and blood group-related research.

Objective To assess the accuracy of pN staging prediction in papillary thyroid carcinoma (PTC) using ultrasound radiomics and deep neural networks (DNN). Methods A retrospective analysis was conducted on 375 patients with pathologically confirmed PTC, comprising 261 cases in the training set and 114 in the test set. Staging was categorized as pN0 (no cervical lymph node metastasis), pN1a (central neck lymph node metastasis), and pN1b (lateral neck lymph node metastasis). An ultrasound physician manually segmented the regions of interest (ROIs) for PTC, extracting 1899 radiomic features. Dimensionality reduction was performed using the least absolute shrinkage and selection operator (LASSO) regression. A DNN model for predicting PTC pN staging was developed using the H2O deep learning platform, trained on the training set, and validated on the test set to assess the accuracy of the optimal model. Results A total of 153 patients were in the pN0 stage, 131 patients in the pN1a stage, and 91 patients in the pN1b stage. LASSO regression selected 15 radiomic features for each PTC. The optimal DNN model, constructed using these 15 features, achieved accuracies of 85.82% on the training set and 81.57% on the test set. Conclusion Ultrasound radiomics of PTC demonstrates high accuracy in predicting pN staging and shows potential for automating N staging in patients.

Objective To compare the effectiveness of cobalt chloride test papers and borescope in evaluating the drying of endoscopes,providing a reference for clinical selection of appropriate assessment tools.Methods 10 gastroscopes and 10 colonoscopes procedures were selected from November 2023 to March 2024 for circulation experiments.After endoscope reprocessing,they were randomly divided into five groups with different drying times(30 s,3 min,6 min,9 min,and 12 min)with 200 samples.Cobalt chloride test paper and borescope were used to evaluate the drying effectiveness.Results The qualified rate of gastrointestinal endoscope by borescope was significantly higher than that by cobalt chloride test paper,but cobalt chloride test paper was obviously better than that by borescope in convenience and cost-effectiveness.The borescope had the function of visualization,and the quantitative positioning observation of residual droplets showed that there were a large number of droplets left after gastrointestinal endoscope drying for 30 s,and the number of droplets was obviously reduced after drying for 3 min.Among them,the gastroscope was mainly light(1～5 drops/strip)and none(0 drops/strip),and the colonoscope was mainly moderate(6～10 drops/strip)and light droplets.Compared with different drying times,there was a significant statistical difference in the number of residual droplets in the endoscope(P<0.01),and the localized droplets mainly remained in the distal bending part and the proximal bifurcation part of the lumen.Conclusion Both cobalt chloride test papers and borescope are important methods for assessing endoscope drying efficacy,each with its own advantages and limitations.Clinicians can use both methods in combination to comprehensively evaluate the overall dryness of endoscopes,thereby ensuring the safety and effectiveness of the endoscope reprocessing process.

OBJECTIVE: To explore the risk factors affecting the prognosis of patients with sepsis complicated with acute pulmonary embolism, and to construct and validate a nomogram predictive model for in-hospital mortality risk. METHODS: Based on the American Medical Information Mart for Intensive Care (MIMIC-III, MIMIC-IV) databases, the data were collected on patients with sepsis complicated with acute pulmonary embolism from 2001 to 2019, including baseline characteristics, and vital signs, disease scores, laboratory tests within 24 hours of admission to the intensive care unit (ICU), and interventions. In-hospital mortality was the outcome event. The total samples were divided into training and testing sets in a 7:3 ratio by random sampling. Univariate Cox regression analysis was used to verify the impact of all variables on the risk of in-hospital mortality, thereby screen potential influencing factors. Subsequently, a stepwise bi-directional regression method was applied to select factors one by one, leading to the construction of a nomogram prediction model. Collinearity testing was used to demonstrate the absence of strong multicollinearity among the influencing factors in the nomogram prediction model. The discrimination of the nomogram model, sequential organ failure assessment (SOFA), and simplified pulmonary embolism severity index (sPESI) was evaluated using C-index in the test set. Receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of various models for in-hospital mortality in patients with sepsis complicated with acute pulmonary embolism. RESULTS: A total of 562 patients with sepsis complicated with acute pulmonary embolism were included, including 393 in the training set and 169 in the testing set. Univariate Cox regression analysis showed that 30 factors associated with in-hospital mortality in patients with sepsis complicated with acute pulmonary embolism. Through stepwise bi-directional regression, 12 variables were ultimately selected, including gender, presence of malignant tumors, body temperature, red cell distribution width (RDW), blood urea nitrogen (BUN), serum potassium, prothrombin time (PT), 24-hour urine output, mechanical ventilation, vasoactive drugs, warfarin use, and sepsis-induced coagulopathy (SIC). Collinearity testing indicated no strong multicollinearity among the influencing factors [all variance inflation factor (VIF) > 10]. A nomogram model was constructed using the 12 variables mentioned above. The nomogram model predicted the C-index and its 95% confidence interval (95%CI) of in-hospital mortality in patients with sepsis complicated with acute pulmonary embolism better than SOFA score and sPESI [0.771 (0.725-0.816) vs. 0.579 (0.519-0.639), 0.608 (0.554-0.663)]. The ROC curve showed that the area under the curve (AUC) and its 95%CI of the nomogram model were higher than those of the SOFA score and sPESI [0.811 (0.766-0.857) vs. 0.630 (0.568-0.691), 0.623 (0.566-0.680)]. These findings were consistently replicated in the internal validation of the testing set. In both the training and testing sets, Delong's test showed that the AUC of the nomogram model was significantly higher than the SOFA score and sPESI (both P < 0.05). CONCLUSION The nomogram model demonstrated good predictive effectiveness for the risk of in-hospital mortality in patients with sepsis complicated with acute pulmonary embolism, enabling clinicians to predict mortality risk in advance and take timely interventions to reduce mortality.
Humans ; Pulmonary Embolism/mortality* ; Hospital Mortality ; Nomograms ; Sepsis/complications* ; Prognosis ; Risk Factors ; Intensive Care Units ; Male ; Female ; Middle Aged ; Aged

Objective:To investigate the short-term pulmonary function outcomes in children with congenital diaphragmatic hernia (CDH) following surgery and analyze the influencing factors of poor outcomes.Methods:This study retrospectively enrolled 81 children who had undergone surgery for CDH and were discharged after recovery at the Department of Neonatal Surgery, Children's Hospital of Capital Institute of Pediatrics from January 2020 to June 2023. All children had pulmonary function tests before discharge, 6 months to 2 year after discharge. Changes in the pulmonary function parameters at different time points were compared. Based on the results of the final pulmonary function test after discharge, these patients were categorized into a favorable outcome group (32 cases) with normal pulmonary function and an unfavorable outcome group (49 cases) with pulmonary dysfunction. Clinical data of the two groups were compared using two independent samples t-test, rank-sum test, Chi-square test, or Fisher's exact test. Logistic regression analysis was used to explore the factors influencing pulmonary function outcomes. Results:A total of 81 cured and discharged CDH children were included in this study, comprising 34 males (42.0%) and 47 females (58.0%). The first two pulmonary function tests were performed at a mean postnatal age of (30.1±14.1) d (14-75 d) and (8.3±1.3) months (4 months and 14 d to 12 months), respectively. Pre-discharge pulmonary function tests revealed that 13 cases (16.0%) had nearly normal pulmonary function, while 68 cases (84.0%) showed pulmonary function abnormalities with seven cases of restrictive ventilatory dysfunction, 56 cases of obstructive ventilatory dysfunction, and five cases of mixed ventilatory dysfunction. In the children with abnormal pulmonary function before discharge, their second pulmonary function tests showed that some parameters including tidal volume [(7.49±1.35) ml/kg vs. (8.02±2.21) ml/kg], the ratio of time to peak tidal expiratory flow and expiratory time [(23.21±4.95)% vs. (26.50±5.48)%], the ratio of volume to peak expiratory flow and expiratory volume [(26.41±5.79)% vs. (27.55±5.20)%], respiratory system compliance per kg body weight during single occlusion [(0.93±0.22) ml/(cmH 2O·kg) vs. (0.96±0.25) ml/(cmH 2O·kg), 1 cmH 2O=0.098 kPa], functional residual capacity [(52.18±17.83) ml vs. (126.39±26.73) ml], and respiratory system resistance in single occlusion condition [(0.06±0.02) cmH 2O/(ml·s) vs. (0.05±0.01) cmH 2O/(ml·s)] improved after discharge ( t values were－2.41,－6.14,－7.68,－2.26,－18.94, and 4.87, all P<0.05). Eight children with obstructive ventilatory dysfunction were followed up for two years after surgery, of which three had normal lung function and five still showed mild to moderate obstructive ventilatory dysfunction. Logistic regression analysis indicated that liver herniation, severe pulmonary hypertension (PH), low observed-to-expected lung-to-head ratio (o/e LHR), grade C/D diaphragmatic defect, and prolonged invasive ventilation were risk factors for poor pulmonary outcomes [ OR(95% CI) were 5.655(1.410-22.676), 5.610 (1.589-19.804),4.183 (1.234-14.180) and 1.195(1.074- 1.329), all P<0.05]. Conclusions:Although lung function parameters of CDH patients show certain improvement after surgery, many children still have mild to moderate obstructive ventilatory dysfunction, requiring long-term follow-up. Prenatal and postnatal indicators such as liver herniation, severe PH, and low o/e LHR can predict the pulmonary outcomes of children with CDH.

Objective:To explore the association between albumin-corrected serum calcium (ACSC) levels and 30-day all-cause mortality in patients hospitalized for community-acquired bacterial pneumonia (CABP).Methods:A secondary analysis was conducted on 1 899 patients with CABP from a Norwegian cohort study. The relationship between baseline ACSC levels and 30-day mortality was assessed using multivariable logistic regression models, adjusted for potential confounders.Results:A significant positive correlation was found between ACSC levels and 30-day mortality risk after adjusting for confounding variables ( OR=1.95, 95% CI=1.48-2.58). When ACSC levels were categorized into tertiles (T1-T3), a trend analysis revealed that the T2 and T3 groups had significantly higher mortality risks compared to the lowest tertile (T1), with odds ratios ( OR) and 95% confidence intervals ( CI) of 1.52(95% CI: 0.97-2.38) and 2.21 (95% CI: 1.44-3.39), respectively ( P for trend <0.001). Subgroup analyses demonstrated no significant interactions across predefined subgroups (all P for interaction > 0.05). Conclusions:In patients with CABP and admission ACSC levels of ≥8.6 mg/dL, higher ACSC levels were positively associated with an increased risk of 30-day mortality. These findings highlight the potential prognostic value of ACSC levels in CABP patients.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

OBJECTIVE: To observe the therapeutic effect of electroacupuncture (EA) in improving early enteral nutrition tolerance in patients with acute pancreatitis (AP) under the concept of accelerated rehabilitation, and to explore the related mechanism based on the changes in autonomic nerve characteristics. METHODS: A total of 42 patients with AP were randomized into an observation group (21 cases, 1 case dropped out) and a control group (21 cases, 1 case dropped out). The control group received standard basic treatment for AP. On the basis of the treatment in the control group, EA was applied in the observation group, bilateral Zusanli (ST36), Yixian point (Extra), Tianshu (ST25), Neiguan (PC6) and Zhongwan (CV12) were selected as the main points, and the supplementary points were selected according to syndrome differentiation. Ipsilateral Zusanli (ST36) and Yixian point (Extra) were connected to EA, using discontinuous wave, in frequency of 2 Hz, 30 min a time, once a day for 6 continuous days. The enteral nutrition tolerance score was observed before treatment and after 3 and 5 days of treatment; the visual analogue scale (VAS) score for abdominal pain was observed before treatment and after 3 days of treatment; the time of reaching the feeding goal and hospital stay was recorded; the levels of C-reactive protein (CRP) and amylase were measured before treatment and after 5 days of treatment; the heart rate variability (HRV) indexes (standard deviation of NN intervals [SDNN], average standard deviation of NN intervals [SDANN], root mean square of successive NN interval differences [rMSSD], low frequency [LF] and high frequency [HF], ratio of low frequency to high frequency [LF/HF]) were monitored in the two groups. RESULTS: After 3 and 5 days of treatment, the enteral nutrition tolerance scores were decreased compared with those before treatment in both groups (P<0.01), the reductions in the observation group were larger than those in the control group (P<0.01). After 3 days of treatment, the VAS scores for abdominal pain were decreased compared with those before treatment in both groups (P<0.01), the reduction in the observation group was larger than that in the control group (P<0.01). The time of reaching the feeding goal and hospital stay in the observation group was shorter than that in the control group (P<0.05). After 5 days of treatment, the CRP and amylase levels were decreased compared with those before treatment in both groups (P<0.01), the reduction of CRP level in the observation group was larger than that in the control group (P<0.01). In the observation group, SDNN, SDANN and LF/HF were lower than those in the control group (P<0.05, P<0.01), while rMSSD was higher than that in the control group (P<0.01). SDNN, SDANN and LF/HF were positively correlated with the enteral nutrition tolerance scores after 3 and 5 days of treatment (P<0.05), while rMSSD was negatively correlated with the enteral nutrition tolerance scores after 3 and 5 days of treatment (P<0.01). CONCLUSION Electroacupuncture can improve enteral nutrition tolerance in patients with AP by regulating autonomic nervous function, alleviating the inflammation, promoting accelerated recovery, and reducing the length of hospital stay.
Humans ; Electroacupuncture ; Male ; Female ; Enteral Nutrition ; Middle Aged ; Adult ; Pancreatitis/physiopathology* ; Aged ; Acupuncture Points ; Young Adult ; Acute Disease/therapy* ; Autonomic Pathways/physiopathology*

Objective:To investigate the value of diameter of pulmonary nodules,radiological indicators,serum tumor markers(CEA,CYFRA21-1,and SCC),and methylation of HOXA7 and SOX17 in circulating tumor DNA(ctDNA)in the early diagnosis of lung can-cer.Methods:A total of 60 patients with malignant pulmonary nodules and 60 patients with benign pulmonary nodules who were admit-ted to our hospital from September 2021 to December 2022 were enrolled as lung cancer group and benign nodule group,respectively,and 80 healthy individuals who underwent physical examination in our hospital during the same period of time were enrolled as control group.The three groups were compared in terms of the diameter of nodules,spiculation sign,levels of serum tumor markers,and meth-ylation rates of HOXA7 and SOX17 in plasma ctDNA,and a multivariate regression analysis was performed to identify the independent risk factors for carcinogenesis and establish a predictive model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the model.Results:Compared with the benign nodule group and the control group,the lung cancer group had significantly higher diameter of pulmonary nodules,proportion of patients with spiculation sign,CEA,ProGRP,CYFRA21-1,and methylation rates of serum HOXA7,and SOX17,and the lung can-cer group had a significantly higher level of SCC than the control group(all P<0.05).The diameter of pulmonary nodules,spiculation sign,and methylation rates of HOXA7 and SOX17 in serum ctDNA were independent risk factors for malignant pulmonary nodules(P<0.05),and a predictive model was established as Y=ex/(1+ex),where x=-7.233+(0.108×nodule diameter)+(3.860×spiculation sign)+(0.021×HOXA7 methylation rate)+(0.043×SOX17 methylation rate).The predictive model had an area under the ROC curve(AUC)of 0.981,with a significantly larger AUC than each indicator alone and the Mayo and LCBP models(P<0.05).Conclusion:The diameter of pulmonary nodules,spiculation sign,and methylation rates of HOXA7 and SOX17 in ctDNA have a relatively high value in the early diagnosis of lung cancer,and the predictive model based on these indicators can significantly improve diagnostic performance.

BACKGROUND: The incidence and mortality rates of lung cancer remain on the rise, creating an urgent need for screening among high-risk populations and early prevention. This study aims to explore the association and interaction between multidimensional lifestyle, socioeconomic status, and the incidence of lung cancer, and to provide scientific evidence for screening high-risk populations and preventing lung cancer. METHODS: Healthy lifestyle score was constructed using information on smoking, alcohol consumption, exercise, diet and sleep obtained through a questionnaire survey. Socioeconomic status was evaluated based on information on education, employment, and family income, and genetic testing data were used to assess the risk of genetic variation. A proportional hazards assumption test was conducted, and the Cox proportional hazards model was applied to analyze the associations between healthy lifestyle scores, socioeconomic status, and lung cancer, as well as the interactions among various factors, after adjusting for the risk of genetic variation, age, gender, diabetes, hypertension and the living environment score. RESULTS: A total of 245,538 samples that entered the cohort from March, 2006 to October, 2010 were included and followed up until December 31, 2022. The participants were divided into the case group (n=1472) and the control group (n=244,066). The analysis results showed that after adjusting for covariates, there was still an association between the healthy lifestyle score, socioeconomic status, and the incidence of lung cancer: compared with participants with a high healthy lifestyle score, the risk of lung cancer in participants with medium and low healthy lifestyle scores was significantly increased, with hazard ratios (HR) of 2.12 (95%CI: 1.86-2.41) and 3.36 (95%CI: 2.82-3.99) respectively; compared with participants with high socioeconomic status, the risk of lung cancer in participants with medium and low socioeconomic status was significantly increased, with HR of 1.29 (95%CI: 1.13-1.48) and 1.67 (95%CI: 1.46-1.90) respectively. Moreover, there were interactions between smoking status and socioeconomic status (Pfor interaction=0.05), as well as the other four lifestyle factors (Pfor interaction=0.02). CONCLUSIONS This study identified the association between multidimensional lifestyle factors and socioeconomic status with the incidence of lung cancer, as well as interactions between smoking and socioeconomic status and four other lifestyle factors, providing a scientific basis for screening and prevention in high-risk populations for lung cancer.
Humans ; Lung Neoplasms/epidemiology* ; Male ; Female ; Middle Aged ; Incidence ; Life Style ; Social Class ; Aged ; Adult ; Risk Factors