OBJECTIVE: To explore the timing of weaning extracorporeal membrane oxygenation (ECMO) and analyze the risk factors that affect survival outcomes before weaning. METHODS: A retrospective case-control study was conducted. Patients who received ECMO treatment and were weaned according to physicians' orders at the Second Xiangya Hospital of Central South University from January 2020 to June 2024 were enrolled as the study subjects. The general information, underlying diseases, indications and processes of ECMO, vital signs and arterial blood gas analysis 1 hour before weaning test, and biochemical indicators 24 hours before weaning test were collected through the hospital electronic medical record system. The primary outcome measure was the hospital mortality. The variables with P < 0.1 in univariate analysis and correlation analysis were included into binary Logistic regression analysis to identify risk factors. A nomogram model was constructed to predict the risk of weaning death in patients with ECMO, and receiver operator characteristic curve (ROC curve) and calibration curve were drawn to evaluate the model. Decision curve analysis (DCA) was used to evaluate the clinical net benefit rate of the model. RESULTS: A total of 32 ECMO patients were included, among whom 10 received veno-arterial ECMO (VA-ECMO) and 22 received veno-venous ECMO (VV-ECMO). During the hospitalization period, 23 patients survived, while 9 died. The time from mechanical ventilation to ECMO activation in the death group was significantly longer than that in the survival group, and the time from ECMO cessation to discharge was significantly shorter than that in the survival group. The levels of diastolic blood pressure (DBP) and albumin (Alb) before weaning were significantly lower than those in the survival group, and the level of procalcitonin (PCT) was significantly higher than that in the survival group (all P < 0.05). Spearman correlation analysis showed that DBP, PCT, Alb, and thrombin time (TT) were correlated with the weaning outcomes of ECMO patients (r values were -0.450, 0.373, -0.376, -0.346, all P < 0.1). Binary Logistic regression analysis showed that the final indicators entering the regression equation included DBP [odds ratio (OR) = 0.864, 95% confidence interval (95%CI) was 0.756-0.982], PCT (OR = 1.157, 95%CI was 0.679-1.973), and TT (OR = 0.852, 95%CI was 0.693-1.049), and a nomogram model was constructed to predict the weaning outcomes of ECMO patients. ROC curve analysis showed that the area under the curve (AUC) of the nomogram model for predicting the weaning outcome of ECMO patients was 0.831, with a sensitivity of 77.8% and a specificity of 65.2%. Its predictive value was better than that of single indicators DBP, PCT, and TT (AUC of 0.787, 0.739, and 0.722, respectively). The calibration curve showed that the prediction probability of the model was in good consistency with the actual observed results, the Hosmer-Lemeshow goodness of fit test showed that, χ ² = 8.3521, P = 0.400, indicating that the model fits well. DCA showed that across risk threshold of 0-0.8, the net benefit rate was greater than 0, which was significantly better than that of single indicator. CONCLUSIONS The nomogram model constructed with DBP, PCT, and TT has certain predictive value for the weaning outcomes of ECMO patients and can be used as a screening indicator for ECMO weaning timing.
Humans ; Extracorporeal Membrane Oxygenation ; Retrospective Studies ; Risk Factors ; Case-Control Studies ; Hospital Mortality ; Male ; Female ; Nomograms ; Logistic Models ; ROC Curve ; Middle Aged ; Adult ; Ventilator Weaning ; Time Factors

OBJECTIVE: To identify the risk factors related to the timing of patients receiving extracorporeal membrane oxygenation (ECMO) initiation and construct a risk prediction model for ECMO initiation timing. METHODS: Patients who received ECMO admitted to the Second Xiangya Hospital of Central South University from January 2020 to January 2024 were retrospectively collected. The case data mainly included physiological and biochemical indicators 1 hour before ECMO initiation. According to the outcome of the patients, they were divided into survival group and death group. Univariate and multivariate Logistic regression analysis were used to analyze the predictors of mortality risk in patients with ECMO, and a nomogram prediction model was constructed. The discrimination, calibration accuracy, and goodness of the model were evaluated by the receiver operator characteristic curve (ROC curve), calibration curve, and the Hosmer-Lemeshow test, respectively. Decision curve analysis (DCA) evaluated the clinical net benefit rate of the model. RESULTS: A total of 81 ECMO patients were included, including 59 males and 22 females; age range from 16 to 61 years old, with a median age of 56.0 (39.5, 61.5) years old; 20 patients received veno-arterial (V-A) ECMO, and 61 patients received veno-venous (V-V) ECMO; 23 patients ultimately survived and 58 patients died. Univariate analysis showed that age, blood urea nitrogen, serum creatinine, D-dimer, arterial blood carbon dioxide partial pressure, and prothrombin time of the death group were all higher than those of the survival group, while albumin was slightly lower than that of the survival group. There was a statistically significant difference in the direct cause of ECMO initiation between the two groups. Multivariate Logistic regression analysis showed that age [odds ratio (OR) = 1.069, 95% confidence interval (95%CI) was 1.015-1.125, P = 0.012], direct cause of ECMO initiation [with heart failure as the reference, return of spontaneous circulation (ROSC) after cardiopulmonary support (OR = 30.672, 95%CI was 1.265-743.638, P = 0.035), novel coronavirus infection (OR = 8.666, 95%CI was 0.818-91.761, P = 0.073), other severe pneumonia (OR = 4.997, 95%CI was 0.558-44.765, P = 0.150)], pre-ECMO serum creatinine (OR = 1.008, 95%CI was 1.000-1.016, P = 0.044), prothrombin time (OR = 1.078, 95%CI was 0.948-1.226, P = 0.252), and D-dimer (OR = 1.135, 95%CI was 1.047-1.231, P = 0.002) were entered into the final regression equation. A nomogram prediction model was developed based on these five factors. The area under the ROC curve (AUC) of the model was 0.889 (95%CI was 0.819-0.959), higher than the AUC of the sequential organ failure assessment (SOFA; AUC = 0.604, 95%CI was 0.467-0.742). The calibration curve showed good consistency between the model predictions and the observed results. The Hosmer-Lemeshow goodness-of-fit test showed that χ ² = 4.668, P = 0.792. DCA analysis showed that when the risk threshold was 0-0.8, the net benefit rate was greater than 0, which was significantly better than that of SOFA score. CONCLUSIONS The risk prediction model for the timing of ECMO initiation, constructed using five factors (age, direct cause of ECMO initiation, thrombin time, serum creatinine, and D-dimer), demonstrated good discrimination and calibration. It can serve as a pre-initiation assessment tool to identify and predict post-initiation mortality risk in ECMO patients.
Humans ; Extracorporeal Membrane Oxygenation ; Middle Aged ; Male ; Female ; Retrospective Studies ; Adult ; Risk Factors ; Adolescent ; Young Adult ; Logistic Models ; Nomograms ; ROC Curve ; Time Factors ; Risk Assessment

Objective:To explore the factors influencing prognosis of patients with in-hospital cardiac arrest (IHCA).Methods:A retrospective observational study was conducted. The clinical data of patients who developed IHCA and underwent cardiopulmonary resuscitation (CPR) at the Second Xiangya Hospital of Central South University from January 1, 2016, to December 31, 2022 were analyzed. The patients' information, including gender, age, medical history, pre-cardiac arrest related parameters [1-hour pre-cardiac arrest neurological function, 24-hour pre-cardiac arrest hemoglobin (Hb) levels, 1-hour pre-cardiac arrest vital signs], initial CPR-related factors (implementation time and location, initial rhythm, ventilation method, defibrillation and resuscitation drugs) as well as restoration of spontaneous circulation (ROSC) related parameters (vital signs at ROSC and 1 hour after ROSC, 24-hour post-cardiac arrest Hb, and IHCA events), were collected through the hospital's electronic medical record system. The clinical data were compared between ROSC and non-ROSC patients as well as between patients with favorable neurological function [cerebral performance category (CPC) grades 1-2] and unfavorable neurological function (CPC grades 3-5) at 28 days. The factors with statistical significance in univariate analysis and clinical significance were enrolled in a binary multivariate Logistic regression model to analyze the influencing factors of ROSC and neurological function at 28 days after ROSC. The predictive value of factors influencing neurological function at 28 days was assessed using receiver operator characteristic curve (ROC curve).Results:A total of 277 IHCA-CPR patients were enrolled, of which 230 achieved ROSC (83.0%) and 47 were not achieved (17.0%). Compared with non-ROSC patients, ROSC patients had lower prevalence of cerebrovascular disease history and proportion of adrenaline usage, but a higher proportion of initial shockable rhythms. In the multivariate Logistic regression analysis, it was found that using a bag-mask ventilation+endotracheal intubation (compared with a bag-mask ventilation alone) was beneficial for achieving ROSC in IHCA-CPR patients [odds ratio ( OR) = 2.895, 95% confidence interval (95% CI) was 1.204-6.962, P = 0.018], while a initial non-shockable rhythm was not conducive to achieving ROSC in IHCA-CPR patients ( OR = 0.349, 95% CI was 0.147-0.831, P = 0.017). Among the 230 ROSC patients, 42 had good neurological function at 28 days (18.3%), and 188 had poor neurological function (81.7%). Compared with the patients with good neurological function, the patients with the poor neurological function were older and had a higher prevalence of 1-hour pre-cardiac arrest neurological dysfunction and low perfusion, initial non-shockable rhythms, endotracheal intubation, and usage of adrenaline, vasopressors and sodium bicarbonate, a lower proportion of defibrillation and antiarrhythmic medication usage as well as lower 24-hour post-cardiac arrest Hb levels. The multivariate Logistic regression analysis revealed that female ( OR = 6.449, 95% CI was 1.837-22.642, P = 0.004), older age ( OR = 1.054, 95% CI was 1.017-1.093, P = 0.004), 1-hour pre-cardiac arrest neurological dysfunction ( OR = 25.044, 95% CI was 2.737-229.169, P = 0.004), 1-hour pre-cardiac arrest low perfusion ( OR = 3.880, 95% CI was 1.306-11.524, P = 0.028), endotracheal intubation (compared with a bag-mask ventilation; OR = 8.712, 95% CI was 1.402-54.141, P = 0.020) and face mask+endotracheal intubation during CPR (compared with a bag-mask ventilation; OR = 11.089, 95% CI was 3.482-35.320, P = 0.000), IHCA events > 1 time ( OR = 4.221, 95% CI was 1.249-14.226, P = 0.020) were positively associated with poor neurological function at 28 days, which were independent risk factors those were not conducive to 28-day neurological function recovery after ROSC in IHCA-CPR patients. In contrast, usage of antiarrhythmic medication ( OR = 0.345, 95% CI was 0.134-0.890, P = 0.028) and 24-hour post-cardiac arrest Hb ( OR = 0.983, 95% CI was 0.966-0.999, P = 0.043) were negatively associated with poor neurological function at 28 days, which were protective factors those were beneficial for the recovery of neurological function. ROC curve analysis showed that the area under the ROC curve (AUC) of 24-hour post-cardiac arrest Hb for predicting poor neurological function at 28 days after ROSC in IHCA-CPR patients was 0.659 (95% CI was 0.577-0.742), with a cut-off value of 99.5 g/L (sensitivity was 76.2%, specificity was 57.8%). Conclusions:Defibrillation and tracheal intubation during CPR are crucial for IHCA patients. It was also observed that patients with low Hb (< 99.5 g/L should be of high concern), older age, 1-hour pre-cardiac arrest neurological function and hypoperfusion, and IHCA events > 1 time were significantly related to unfavorable neurological outcome in adult resuscitated patients with IHCA.

Objective To assess the predictive value of serum fibroblast growth factor(FGF)23 level and carotid intima-media thickness (CIMT)for the long-term outcome in maintenance hemodialysis(MHD)patients.Methods A total of 88 MHD patients were enrolled,with a median follow-up of 73.2 months(a range from 11.5 to 75.7 months).CIMT and atherosclerotic plaques were measured by Bmode Doppler ultrasound at baseline by an experienced sonographer.Blood samples were collected and stored in the-80℃ refrigerator for measuring serum FGF23 levels.Results The 88 patients were aged(64.2±11.5)years,with 52 males and 36 females,and the mean CIMT was (1.34±0.38)mm.Carotid artery atherosclerotic plaque was detected in 72(81.8％)subjects.Carotid artery atherosclerotic plaques (CASP)were found in 58 (65.9％)patients aged 60 years and over.Compared with non-elderly patients,elderly patients had the characteristics of high incidence of cardiovascular disease and poor nutritional status.During the follow up period,34 patients died and 23 (67.6％) patients died of cardiovascular disease.Kaplan-Meier curves showed that cardiovascular disease-free survival rate was higher in the normal CIMT group than in thickening CIMT group(Log Rank P=0.003).And subjects with low level of FGF23 had a better survival rate than those with moderate to high level of FGF23(Log Rank P =0.043).Multivariate COX regression analysis showed that FGF23(HR=1.056,95％CI:1.007-1.108,P=0.026)and CIMT(HR=1.165,95％CI:1.032 1.315,P =0.013)were independent predictors for cardiovascular mortality.Multivariate COX regression analysis showed that serum calcium (HR =0.022,95％ CI:0.001-0.489,P =0.016),hemoglobin(HR =0.966,95％CI:0.937-0.997,P =0.033),FGF23 (HR =1.071,95％ CI:1.017-1.128,P =0.010) and CIMT (HR =1.202,95％ CI:1.049-1.377,P =0.008) were independent predictors for cardiovascular mortality in elderly MHD patients.Conclusions Serum level of FGF23 and CIMT are the important predictors for cardiovascular mortality in MHD patients.The proportion of elderly patients with cardiovascular disease is higher,in which the factors affecting prognosis are more complex.

Objective To explore the relationship between prenatal diagnosis indications and fetal chromosomal aberrations , and the security of amniocentesis. Methods The amniotic fluid cells were sampled by amniocentesis and cultured in 572 high-risk pregnant women from January 2012 to August 2015. The chromosomal karyotypes were examined by G-banding. Results The success rate of the first amniotic fluid cells culture reached 99.83%. In all the 572 valid samples , there were 20 cases of chromosomal aberrations and the abnormal rate was 3.50%, including 17 of numeric aberrations and 3 of structural aberrations. There were 7 cases of chromosomal aberrations in all the 299 elderly parturient in high-risk indications and the abnormal rate was 2.34%, and there were 13 cases of chromosomal aberrations in all the 273 non-elderly parturient and the abnormal rate was 4.76%. Conclusions (1)It is necessary to further diagnose in pregnant women with high-risk factors , including high age , abnormal screening and ultrasonic findings , and history of abnormal gestation and birth. (2)The chromosomal karyotype examination of amniotic fluid cells in high-risk pregnant women is one of the effective prenatal diagnosis methods in high security and accuracy , with which it can reduce the incidence of birth defects and the burden of family and society , and improve the quality of the population.