Efectividad del procedimiento para la formación del proyecto de vida profesional en estudiantes de Medicina

Fundamento: el proyecto de vida profesional constituye una formación psicológica compleja que debe ser desarrollada y evaluada durante las acciones que se realizan en los procesos sustantivos universitarios: formación, investigación y extensión universitaria. Objetivo: validar la efectividad del procedimiento para la formación del proyecto de vida profesional en estudiantes de Medicina. Métodos: se realizó una investigación cuantitativa de tipo preexperimental en la Universidad de Ciencias Médicas de Holguín, Facultad de Ciencias Médicas Mariana Grajales Coello, desde enero de 2021 hasta diciembre del 2022. Se utilizaron como métodos teóricos el analítico sintético, inductivo-deductivo y la modelación. Los métodos empíricos aplicados fueron el cuestionario a expertos, la observación y el instrumento "Exploración del proyecto de vida profesional". La investigación se llevó a efecto en tres etapas para la presentación, la valoración y la evaluación del procedimiento. Resultados: se aportó un procedimiento para la formación del proyecto de vida profesional en estudiantes de la carrera Medicina a implementarse durante los procesos sustantivos universitarios. El criterio de expertos permitió evaluar el procedimiento como bastante adecuado. El preexperimento mostró su efectividad para alcanzar el objetivo. Conclusiones: existen insuficiencias en el tratamiento del proyecto de vida profesional durante la formación inicial. La validación del procedimiento fue aceptada por los expertos porque contribuye a la calidad del proceso pedagógico en la carrera Medicina.

Foundation: the professional life project constitutes a complex psychological training that must be developed and evaluated during the actions carried out in the substantive university processes: training, research and university extension. Objective: validate the formation procedure effectiveness for the professional life project in medical students. Methods: a pre-experimental quantitative research was carried out at the Holguín Medical Sciences University, Mariana Grajales Coello Medical Sciences Faculty, from January 2021 to December 2022. Synthetic analytical, inductive-deductive and analytical methods were used as theoretical methodsand modeling. The empirical methods applied were the expert questionnaire, observation and the Exploration of the professional life project instrument. The research was carried out in three stages for the presentation, assessment and evaluation of the procedure. Results: a procedure was provided for the professional life project formation in Medicine students to be implemented during the substantive university processes. Expert judgment allowed the procedure to be evaluated as quite adequate. The pre-experiment showed its effectiveness in achieving the objective. Conclusions: there are insufficiencies in the treatment of the professional life project during initial training. The validation of the procedure was accepted by the experts because it contributes to the pedagogical process quality in the Medicine career.

Risk factor research and risk prediction model establishment for early Q-T interval prolongation after acute myocardial infarction / 中国基层医药

Objective:To establish a prediction model of risk factors for early Q-T interval prolongation after acute myocardial infarction (AMI), which helps prevent and reduce the occurrence of acute malignant events.Methods:This is a case-control study. A total of 100 patients with Q-T interval prolongation after AMI who received treatment at Heilongjiang Provincial Hospital from January 2018 to December 2022 were included in this study. An additional 100 patients without Q-T interval prolongation after AMI who concurrently received treatment in the same hospital were also included in this study. Two model groups, including model group 1 (with Q-T interval prolongation, n = 50) and model group 2 (without Q-T interval prolongation, n = 50), and two test groups, including test group 1 (with Q-T interval prolongation, n = 50) and test group 2 (without Q-T interval prolongation, n = 50), were designated. Logistic regression analysis was performed to construct a prediction model of risk factors for Q-T interval prolongation. The area under the receiver operating characteristic curve was determined to evaluate the prediction model. The value of the prediction model was validated in the test groups. Results:Multivariate logistic regression showed that female gender ( OR = 2.307, 95% CI: 0.09-0.91, P = 0.041) and heart failure ( OR = 3.087, 95% CI: 1.15-8.27, P = 0.025) were independent risk factors for early Q-T interval prolongation after AMI. The area under the receiver operating characteristic curve of the prediction model was 0.770, with a sensitivity of 84.0%, a specificity of 66.0%, the Jordan index of 0.44, and the corresponding optimal critical value of 0.43. This indicates good fit of the model. Conclusion:Female gender and heart failure are independent risk factors for early Q-T interval prolongation after AMI. The model constructed based on the above-mentioned risk factors fits well and has a high predictive value, which helps reduce the occurrence of early Q-T interval prolongation after AMI.

Construction and evaluation of a multifactor prediction model for the risk of pneumothorax in patients with chronic obstructive pulmonary disease / 中国基层医药

Objective:To analyze the independent risk factors for pneumothorax in older adult patients with chronic obstructive pulmonary disease (COPD), construct and validate a prediction model of pneumothorax risk in patients with COPD.Methods:A total of 500 patients with COPD who received treatment at the Department of Emergency, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine from January 2018 to December 2021 were selected using the convenience sampling method and included in this study. Chest CT scan or chest X-ray film findings were used as diagnostic criteria. These patients were divided into a pneumothorax group and a control group according to whether they developed pneumothorax. Taking whether patients develop pneumothorax as a dependent variable and predictive risk factors as independent variables, univariate and multivariate logistic regression analyses of the included risk factors were performed to identify the independent influential factors for developing pneumothorax in patients with COPD. Subsequently, a prediction model for predicting the risk of pneumothorax was constructed and evaluated. A decision curve analysis was conducted to evaluate its clinical practicality.Results:Among 500 patients with COPD, 104 developed pneumothorax, with an incidence of 20.80%. Binary logistic regression analysis showed that long duration of COPD, C-reactive protein, and mechanical ventilation were independent risk factors for the development of pneumothorax in these patients. The percentage of forced expiratory volume in one second (FEV 1%), the FEV 1/forced vital capacity ratio (FEV 1/FVC), and serum albumin are protective factors for the development of pneumothorax in patients with COPD. A prediction model for the risk of developing pneumothorax was constructed. Finally, we obtained the formula: Logit( P) = 12.427 + 2.241 × COPD duration + 0.899 × smoking + 7.715 × CRP + 0.208 × mechanical ventilation history -0.514 × albumin -0.243 × FEV 1%-0.286 FEV 1/FVC. Receiver operating characteristic curve analysis results showed that the area under the curve was 0.815 and the C-Index was 0.781 (95% CI: 0.856-0.891), indicating that the constructed prediction model can better distinguish between patients with and without pneumothorax among those with COPD. Conclusion:C-reactive protein, albumin, FEV 1%, FEV 1/FVC, smoking history, and mechanical ventilation history are all risk factors for the development of pneumothorax. A prediction model has been successfully constructed based on these risk factors, which can effectively predict the risk of pneumothorax. This constructed risk prediction model provides good guidance in taking preventive treatment and nursing measures by medical staff.

Value of peripheral blood NLR, PLR and serum LDH for predicting the occurence of radiation pneumonia in patients with small cell lung cancer / 中国基层医药

Objective:To investigate the value of peripheral blood neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and serum lactate dehydrogenase (LDH) levels for predicting the occurrence of radiation pneumonia (RP) in small cell lung cancer.Methods:A total of 84 patients with small cell lung cancer who received image-guided radiotherapy in Xuzhou Cancer Hospital between September 2019 and September 2022 were retrospectively analyzed. They were divided into an RP group ( n = 25) and a non-RP group ( n = 59) according to whether RP occurred. Peripheral blood NLR and PLR and serum LDH levels were compared between the two groups before and after radiotherapy. The receiver operating characteristic curve (ROC curve) was used to analyze the value of peripheral blood NLR, PLR, and serum LDH levels for the diagnosis of RP in small cell lung cancer. Results:Before radiotherapy, there were no significant differences in peripheral blood NLR and PLR between the two groups (both P > 0.05). After radiotherapy, peripheral blood NLR and PLR in the RP group were (3.39 ± 0.81) and (129.06 ± 24.90), respectively, which were significantly higher than those in the non-RP group [(2.54 ± 0.71), (104.76 ± 26.26), t = 3.61, 3.83, both P < 0.05]. The NLR (2.86 ± 0.30) and PLR (110.07 ± 10.05) were the lowest in patients with grade 2 RP and they were highest in patients with grade 4 RP [(4.49 ± 0.63), (168.88 ± 14.11)]. The grade of RP was positively correlated with peripheral blood NLR and PLR. The sensitivity of peripheral blood NLR in the diagnosis of RP was 88.0%, the specificity was 66.1%, and the area under the curve (AUC) was 0.791. The sensitivity of PLR in the diagnosis of RP was 48.0%, the specificity was 94.9%, and the AUC was 0.735. The sensitivity of NLR combined with PLR in the diagnosis of RP was 92.0%, the specificity was 59.3%, and the AUC was 0.801. There was no significant difference in serum LDH levels between the two groups before and after radiotherapy (both P > 0.05). Logistic regression analysis showed that NLR and PLR were risk factors for RP in patients with small cell lung cancer ( OR = 2.309, 1.037; 95% CI: 1.061-5.024, 1.004-1.071). Conclusion:In patients with small cell lung cancer who develop RP, peripheral blood NLR, and PLR are markedly elevated compared with those in patients who do not develop RP, and combined detection of peripheral blood NLR and PLR has a high value for early diagnosis of RP in patients with small cell lung cancer.

Factors influencing the height development of children and adolescents in Chengguan District of Lhasa of Xizang Autonomous Region, China / 中国基层医药

Objective:To analyze the factors that influence the height development of children and adolescents aged 3 to 16 years in Chengguan District of Lhasa of Xizang Autonomous Region, China.Methods:During the period from August 2021 to June 2022, a convenient sampling method was used to select 100 children and adolescents aged 3-16 years residing in Chengguan District of Lhasa of Xizang Autonomous Region, China. The subjects' physical measurement indicators, Tanner stage, height development questionnaire, wrist bone age, sex hormones, and nutritional biochemical indicators were carefully collected. The factors that influence height development were analyzed using univariate and multivariate logistic regression analyses. Furthermore, the receiver operating characteristic (ROC) curves were constructed to visualize the effects of these influential factors.Results:The study involved a total of 100 children and adolescents, with 51 (51.0%) participants in the tall stature group and 49 (49.0%) participants in the low stature group. Significant differences were observed between the two groups in terms of height difference relative to the national average, body weight, waist circumference, luteinizing hormone level, the percentage of individuals with an abnormal luteinizing hormone level, follicle stimulating hormone level, and bone age [ χ2 ( t) = 13.6, 2.65, 2.47, -2.58, 10.9, -2.95, 11.8, all P < 0.05]. A univariate logistic regression analysis revealed that body mass, waist circumference, the percentage of individuals with an abnormal luteinizing hormone level, follicle stimulating hormone level, and bone age are factors that possibly affect height development ( OR = 1.05, 1.05, 4.56, 1.18, 2.99, all P < 0.05). Furthermore, a multivariate logistic regression analysis revealed waist circumference, the percentage of individuals with an abnormal luteinizing hormone level, and bone age as independent factors influencing height development ( OR = 1.10, 7.01, 3.14, all P < 0.05). The receiver operating characteristic (ROC) curve analysis showed that the values of the area under the curve were 0.65, 0.65, 0.67, and 0.75 respectively for waist circumference, the percentage of individuals with an abnormal luteinizing hormone level, bone age, and their combination (all P < 0.05). Conclusion:Waist circumference, the percentage of individuals with an abnormal luteinizing hormone level, and bone age appear to be critical factors influencing the height development of children and adolescents In Chengguan District of Lhasa of Xizang Autonomous Region, China.

Predictive value of preoperative aspartate aminotransferase to alanine aminotransferase ratio for early postoperative recurrence in patients with small hepatocellular carcinoma / 中国基层医药

Objective:To investigate the predictive value of preoperative aspartate aminotransferase to alanine aminotransferase ratio (AAR) for early recurrence after radical resection of single small hepatocellular carcinoma.Methods:A retrospective cohort study was conducted to analyze the clinical data of 137 patients who underwent radical resection of liver cancer at the General Hospital of Ningxia Medical University from January 2017 to July 2021. These patients were categorized into a recurrence group ( n = 72) and a non-recurrence group ( n = 65) based on early postoperative recurrence. Univariate and multivariate logistic regression analyses were conducted in the training cohort to identify independent risk factors for early recurrence of small hepatocellular carcinomas. Subsequently, the AARs were grouped, and patients with similar propensity scores estimated by the logistic model were matched 1:1 using the Propensity Score Match method with a caliper value of 0.02 to eliminate confounders. Logistic regression analysis was then repeated to assess the predictive value of the matched AAR for postoperative recurrence in patients with single small hepatocellular carcinoma. Results:Univariate analysis revealed that age ( χ2 = 4.22, P = 0.040), the ratio of fibrinogen to albumin ( χ2 = 8.26, P = 0.004), and the AAR ( χ2 = 5.83, P = 0.016) were significantly associated with early recurrence of small liver cancer after radical resection. Multivariate logistic regression analysis further identified age ( P = 0.042), the ratio of fibrinogen to albumin ( P = 0.024), and the AAR ( P = 0.018) as independent risk factors for early recurrence of single small hepatocellular carcinoma following radical surgery. After excluding confounding factors using the Propensity Score Match method, 25 patient pairs were successfully matched. Post-matching logistic regression analysis revealed that an AAR > 0.74 ( P = 0.005) and age > 60 years ( P = 0.024) were independent risk factors for early recurrence in patients with single small hepatocellular carcinoma following radical resection. Conclusion:Preoperative AAR is an independent risk factor for early recurrence in patients with single small hepatocellular carcinoma following surgery, demonstrating excellent predictive value.

Systematic review of risk prediction models for intradialytic hypotension in patients with maintenance hemodialysis / 中华护理杂志

Objective To systematically review the risk prediction models for intradialytic hypotension in maintenance hemodialysis patients,with a view to provide references for clinical practice.Methods PubMed,Embase,Web of Science,Cochrane Library,CINAHL,CNKI,VIP,Wanfang and CBM were searched from inception to May 29,2023.2 reviewers independently screened the literature,extracted information and assessed methodological quality using the Prediction Model Risk of Bias Assessment Tool.Results A total of 20 studies and 25 models were included with the sample size of 68～9 292 cases and the incidence of outcome events of 2.1～51％.Baseline systolic blood pressure,age,ultrafiltration rate,diabetes and dialysis duration were the top 5 predictors of repeated reporting of the models.20 models reported the area under the curve of ranging from 0.649 to 0.969,and 5 models reported calibration metrics.There were 9 internal validations and 4 combined internal and external validation models.The overall applicability of the 20 studies was good,but all had a high risk of bias,mainly in data analysis.Conclusion Research on risk prediction models for intradialytic hypotension in maintenance hemodialysis patients is still in the developmental stage.Future studies should improve the research design and reporting process,and validation studies of existing models should be carried out to further evaluate the effectiveness and feasibility in clinical practice.

Application of 18F-FDG PET metabolic parameters in evaluating histopathologic grading of soft tissue sarcoma / 中华核医学与分子影像杂志

Objective:To evaluate the value of 18F-FDG PET metabolic parameters in predicting histopathological grade of soft tissue sarcoma (STS). Methods:From December 2012 to December 2021, 51 patients (26 males, 25 females, age range: 32-84 years) who underwent 18F-FDG PET/CT imaging before treatment and confirmed STS pathologically in the First Affiliated Hospital of Dalian Medical University were retrospectively collected. 18F-FDG PET metabolic parameters SUV max, metabolic tumor volume (MTV), total lesion glycolysis (TLG) and intertumoral FDG uptake heterogeneity (IFH) were measured. Kruskal-Wallis rank sum test was used to analyze the differences in metabolic parameters among different groups and Spearman rank correlation analysis was used to analyze the correlation of each metabolic parameter and histological grade. Logistic regression was used to screen and construct the prediction model for high-grade STS. ROC curve was plotted and Delong test was used to analyze the differences among AUCs. Results:The metabolic parameters SUV max, MTV, TLG and IFH were significantly different among French Federation of Cancer Centers Sarcoma Group (FNCLCC)Ⅰ( n=8), Ⅱ( n=10) and Ⅲ ( n=33) grade groups ( H values: 16.24, 10.52, 19.29 and 16.99, all P<0.05), and each metabolic parameter was positively correlated with histological grade ( rs values: 0.58, 0.45, 0.52, and 0.62, all P<0.05). Multivariate logistic regression analysis showed that SUV max(odds ratio ( OR)=1.27, 95% CI: 1.06-1.51, P=0.009) and IFH ( OR=6.83, 95% CI: 1.44-32.27, P=0.015) were independent risk indicators for high-grade STS. The prediction model constructed by combining SUV max and IFH had better diagnostic efficacy for differentiating high-grade STS with the AUC of 0.93, and the sensitivity of 93.9%(31/33) and the specificity of 16/18, respectively. The AUC of prediction model was significant different from SUV max, MTV, TLG and IFH (AUCs: 0.81, 0.78, 0.86 and 0.85; z values: 2.69, 2.53, 1.94 and 1.97, all P<0.05). Conclusions:The metabolic parameters SUV max, MTV, TLG and IFH are valuable predictors for histological grade of STS. The combination of SUV max and IFH may be a more meaningful method than using each of the above metabolic parameters alone.

Deep neural networks analysis of 18F-FDG PET imaging in postoperative patients with temporal lobe epilepsy / 中华核医学与分子影像杂志

Objective:To predict the short-term postoperative recurrence status of patients with refractory temporal lobe epilepsy (TLE) by analyzing preoperative 18F-FDG PET images and patients′ clinical characteristics based on deep residual neural network (ResNet). Methods:Retrospective analysis was conducted on preoperative 18F-FDG PET images and clinical data of 220 patients with refractory TLE (132 males and 88 females, age 23.0(20.0, 30.2) years)) in the First Affiliated Hospital of Jinan University between January 2014 and June 2020. ResNet was used to perform high-throughput feature extraction on preprocessed PET images and clinical features, and to perform a postoperative recurrence prediction task for differentiating patients with TLE. The predictive performance of ResNet model was evaluated by ROC curve analysis, and the AUC was compared with that of classical Cox proportional risk model using Delong test. Results:Based on PET images combined with clinical feature training, AUCs of the ResNet in predicting 12-, 24-, and 36-month postoperative recurrence were 0.895±0.073, 0.861±0.058 and 0.754±0.111, respectively, which were 0.717±0.093, 0.697±0.081 and 0.645±0.087 for Cox proportional hazards model respectively ( z values: -3.00, -2.98, -1.09, P values: 0.011, 0.018, 0.310). The ResNet showed best predictive effect for recurrence events within 12 months after surgery. Conclusion:The ResNet model is expected to be used in clinical practice for postoperative follow-up of patients with TLE, helping for risk stratification and individualized management of postoperative patients.

Construction and evaluation of a nomogram for adverse cardiovascular events within 1 year after PCI in elderly patients with ACS / 中华老年心脑血管病杂志

Objective To construct a nomogram prediction model for major adverse cardiovascular events(MACE)within 1 year after percutaneous coronary intervention(PCI)in elderly patients with acute coronary syndrome(ACS).Methods A retrospective analysis was conducted on 551 patients with diagnosed ACS and undergoing PCI in Department of Cardiovascular Medicine of Air Force Medical Center from 1 January 2020 to 1 April 2022.According to the occurrence of MACE during 1 year of follow-up,they were classified into MACE group(n=176)and non-MACE group(n=375).Risk factors for the occurrence of MACE in elderly ACS patients within 1 year after PCI were analysed using univariate and multivariate logistic regression,a nomogram prediction model was constructed,and the predictive power of the model was assessed using the area under the ROC curve(AUC).Results The MACE group had significantly higher Gensini score,systemic immune-inflammation index,and GRACE score,but obviously lower prognostic nutritional index than the non-MACE group(P＜0.01).Multivariate logistic regression analysis showed that recent smoking(OR=2.222,95％CI:1.361-3.628,P=0.010),hyperlipidaemia(OR=1.881,95％CI:1.145-3.089,P=0.013),prognostic nutritional index(OR=4.645,95％CI:2.788-7.739,P=0.001),LVEF(OR=5.177,95％CI:3.160-8.483,P=0.001),systemic immune-inflammation index(OR=5.396,95％CI:3.179-9.159,P=0.001),and preoperative di-agnosis of non-STEMI(OR=2.829,95％CI:1.356-5.901,P=0.006)or STEMI(OR=3.451,95％CI:1.596-7.463,P=0.002)were independent influencing factors for occurrence of MACE after PCI in elderly ACS patients.ROC curve analysis showed that the AUC value of the nomo-gram model for predicting MACE within 1 year after PCI in elderly ACS patients was 0.888.Con-clusion Our developed nomogram model is simple and practical,and can effectively predict the occurrence of MACE within 1 year after PCI in elderly ACS patients.And external validation should be carried out to ensure its generality.

Predictive value of systemic immune-inflammation index and NT-proBNP for contrast-induced acute kidney injury in elderly STEMI patients / 中华老年心脑血管病杂志

Objective To investigate the predictive value of systemic immune-inflammation index(SII)and N-terminal pro-brain natriuretic peptide(NT-proBNP)level in elderly patients with acute ST-segment elevation myocardial infarction(STEMI)developing contrast-induced acute kidney injury(CIAKI)after PCI.Methods A total of 1085 elderly STEMI patients undergoing emergency PCI in the Affiliated Hospital of Xuzhou Medical University from January 2018 to March 2023 were consecutively recruited as a training set,and another 287 elderly STEMI pa-tients receiving emergency PCI in the East Branch of the Affiliated Hospital from January 2021 to June 2023 were included as a verification set.According to the diagnostic criteria of CIAKI,they were divided into CIAKI group(n=95)and non-CIAKI group(n=990).Based on the results of restricted cubic spline(RCS)analysis,the patients from the training set were assigned into low-risk subgroup(n=292),moderate-risk group(n=515)and high-risk group(n=278).Multivari-ate logistic regression analysis was used to analyze the independent risk factors of CIAKI in elder-ly STEMI patients after PCI,and ROC curve was plotted to analyze the predictive value of combi-nation of SII and NT-proBNP.The risk of CIAKI was compared among the patients at different risk grades.Results Age,SII,baseline serum creatinine,NT-proBNP,fasting blood glucose and use of diuretics were independent risk factors for CIAKI after primary PCI in elderly STEMI patients(P＜0.05,P＜0.01).The AUC value of SII combined with NT-proBNP in predicting CIAKI was 0.801(95％CI:0.761-0.842,P＜0.01),with a sensitivity of 83.2％and a specificity of 67.5％,both superior to that of SII or NT-proBNP alone.RCS analysis revealed an increased risk of CIAKI at SII ≥1084.97 × 109/L and NT-proBNP ≥296.12 ng/L.The incidence of CIAKI was increased with the increase of risk grades(1.71％vs 6.41％vs 20.50％).Conclusion SII and NT-proBNP are independent risk factors for CIAKI after emergency PCI in elderly STEMI pa-tients.And their combination has better predictive value for CIAKI.

Correlation between serum beta 2-microglobulin level and cerebral microbleeds in the elderly / 中华老年心脑血管病杂志

Objective To explore the correlation between serum beta 2-microglobulin(B2M)level and cerebral microbleeds(CMB)in the elderly.Methods A retrospective analysis of 636 elderly patients with chronic diseases admitted to the Department of Neurology of our hospital from Janu-ary 2020 to November 2022 was made.On the second day after admission,venous blood samples were collected to detect the serum B2M level,and brain magnetic resonance susceptibility weigh-ted imaging was performed.Then these patients were assigned into CMB group(82 cases)and CMB-free group(554 cases).Binary logistic regression analysis was employed to identify the inde-pendent risk factors for CMB.Results Binary logistic regression analysis showed that serum B2M level was an independent risk factor for CMB in elderly patients(Model 1:β=0.179,OR=1.196,95％CI:1.017-1.407,P=0.031;Model 2:β=0.215,OR=1.240,95％CI:1.048-1.468,P=0.012)after adjusting confounding factors.ROC curve analysis indicated that the optimal cutoff value of serum B2M level in diagnosing CMB was 1.805 mg/L,with a sensitivity of 70.7％and a specificity of 52.5％,and an AUC value of 0.657(95％CI:0.595-0.719,P＜0.01).Conclusion The increment of serum B2M level is closely related to CMB in the elderly population,so the pro-tein can be used as one of indicators for prediction of CMB in the population.

Construction and verification of a prediction nomogram for in-hospital death in elderly CHF patients based on noninvasive hemodynamic parameters / 中华老年心脑血管病杂志

Objective To construct a nomogram model for predicting the risk of in-hospital death in CHF patients by using noninvasive hemodynamic monitoring combined with age,DBP,CRP and renal insufficiency(serum creatinine≥ 442 μmol/L).Methods A total of 223 elderly patients with acute onset of CHF admitted in First,Second Medical Centre of Chinese PLA General Hos-pital from September 2022 to March 2023 were recruited in this study.According to their clinical outcomes,they were divided into survival group(196 cases)and death group(27 cases).Based on the in-hospital death and other related indicators,a nomogram model was constructed to predict the risk factors of in-hospital death in CHF.Results Noninvasive hemodynamic mornitoring indi-cated that the death group had significantly higher LVEF and LCWI values but lower LVEDV value than the survival group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that age(OR=1.131,95％CI:1.052-1.213,P=0.001),DBP(OR=0.932,95％CI:0.882-0.982,P=0.011),CRP(OR=1.171,95％CI:1.021-1.352,P=0.024),LVEDV(OR=0.984,95％CI:0.962-0.992,P=0.011)and renal insufficiency(OR=5.863,95％CI:1.351-1.731,P=0.004)were independent risk factors for the short-term prognosis of the elderly CHF patients.The AUC value of the nomogram model was 0.902(95％CI:0.819-0.948,P＜0.05),and calibration curve analysis showed the C-index was 0.902,indicating accurate predictive perform-ance.Conclusion Age,DBP,LVEDV,CRP and renal insufficiency are independent risk factors for the short-term prognosis of the elderly CHF patients.

Expression of miR-182-5p in patients with chronic heart failure and its correlation with left ventricular remodeling and prognosis / 中华老年心脑血管病杂志

Objective To investigate the serum expression level of miR-182-5p in patients with chronic heart failure(CHF),and analyze its correlation with left ventricular remodeling and prog-nosis.Methods A total of 138 CHF patients admitted to Liaocheng People's Hospital from Janu-ary 2019 to December 2021 were enrolled as CHF group,and another 120 healthy volunteers who took physical examinations at the same time served as the healthy group.The expression level of miR-182-5p in serum was detected in the two groups.Pearson analysis was used to analyze the correlation between its expression level and left ventricular remodeling.ROC curve was plotted to analyze the diagnostic value of miR-182-5p expression level.During 1 year of follow-up,their sur-vival status was collected and analyzed in the CHF patients.The prognostic value of miR-182-5p expression level was evaluated by Kaplan-Meier survival curve.Results The CHF patients had significantly lower LVEF value,but higher left ventricular remodeling index(LVRI)and miR-182-5p expression level than the healthy group(P＜0.05,P＜0.01).The expression level of miR-182-5p was negatively correlated with LVEF(r=-0.496,P=0.000)and positively with LVRI(r=0.460,P=0.000).The AUC value of miR-182-5p expression level in diagnosing CHF was 0.964,the cutoff value was 0.905,the sensitivity was 91.3％,and the specificity was 86.7％.Kaplan-Meier survival curve analysis showed that the high expression level of miR-182-5p could predict the overall survival of CHF patients(P=0.039).Conclusion The expression level of miR-182-5p is higher in CHF patients than healthy people,and the patients with higher level indi-cate more serious left ventricular remodeling.Detecting the expression level of miR-182-5p is help-ful for the diagnosis and poorgnosis prediction of CHF patients.

Correlation between plasma Pannexin-1 and no reflow in STEMI patients after PCI / 中华老年心脑血管病杂志

Objective To analyze the correlation between plasma Pannexin-1(Panx-1)level and no-reflow after percutaneous coronary intervention(PCI)in patients with ST-segment elevation my-ocardial infarction(STEMI).Methods A prospective trial was performed on 218 STEMI patients who underwent PCI in our hospital from January 2019 to December 2021.According to the blood flow classification of myocardial infarction thrombolysis(TIMI)after PCI,they were divided into normal reflow group(110 cases),slow reflow group(69 cases)and no reflow group(39 cases).The plasma Panx-1 level was determined by ELISA,and the levels of P-selectin,activated glyco-protein Ⅱ b/Ⅲ a(aGP Ⅱ b/Ⅲ a)and platelet-leukocyte aggregates(PLA)were determined by flow cytometry.Results Older age,larger ratio of diabetes mellitus,longer time from symptom onset to PCI,higher platelet count and levels of LDL-C,D-dimer,P-selectin,GP Ⅱ b/Ⅲ a,PNA,PM A,PLyA and plasma Panx-1 were observed in the no-reflow group than the normal and slow reflow groups(P＜0.05).The plasma Panx-1 level in STEMI patients was positively correlated with P-selectin,GP Ⅱ b/Ⅲ a,PNA,PM A and PLyA(P＜0.05,P＜0.01).LDL-C ≥3.20 mmol/L and plasma Panx-1＞0.88 μg/mL were independent risk factors for no-reflow after PCI in STEMI pa-tients(OR=2.198,95％CI:1.252-3.858,P=0.006;OR=16.849,95％CI:4.481-63.357,P=0.000).The AUC value of Panx-1 was 0.826(95％CI:0.744-0.907,P＜0.01)in predicting no re-flux in STEMI patients after PCI.Conclusion The increase of plasma Panx-1 level is closely asso-ciated with the occurrence of no reflow in STEMI patients after PCI,and the protein can be used as a predictive biomarker for the phenomenon.

Correlation of serum HP and ADMA levels with prognosis in patients with acute cerebral infarction / 中华老年心脑血管病杂志

Objective To investigate the changes in serum HP and ADMA levels in patients with ACI and the correlation of their levels with recanalization after venous thrombolysis and poor prognosis.Methods A total of 260 ACI patients undergoing venous thrombolysis in our hospital from January 2020 to March 2023 were retrospectively recruited,and were categorized into reper-fusion group(n=196)and non-reperfusion group(n=64)based on the efficacy of thrombolysis.After a 90-day follow-up,they were further divided into good prognosis group(n=159)and poor prognosis group(n=101)according to the results of a modified Rankin scale.Serum levels of HP and ADMA at admission were compared between the two groups.Logistic regression analysis was used to analyze the risk factors for non-reperfusion and poor prognosis in ACI patients.ROC curve analysis was performed to evaluate the predictive value of serum HP and ADMA levels for non-reperfusion and the diagnostic efficiency for poor prognosis in ACI patients.Results The non-reperfusion group exhibited notably elevated serum HP and ADMA levels than the reperfusion group(2.10±0.21 g/Lvs1.29±0.31 g/L,1.68±0.19 μmol/L vs 0.69±0.11 μmol/L,P＜0.01).HP and ADMA were identified as significant risk factors for uncanalization after treatment(P＜0.01).The AUC value of their combination in diagnosing uncanalization after venous thrombolys-is was 0.869(95％CI:0.830-0.908).Furthermore,significantly higher serum levels of HP and ADMA were observed in the poor prognosis group than the good prognosis group(2.27±0.19 g/L vs 1.15±0.34 g/L,1.72±0.21 μmol/L vs 0.64±0.10 μmol/L,P＜0.01).HP and ADMA were also recognized as influencing factors for poor prognosis in 90 d after treatment(P＜0.01).The AUC value was 0.816(95％CI:0.768-0.865)when their combination was used to predict poor prognosis in 90 d after treatment.Conclusion HP and ADMA are highly expressed in the se-rum of ACI patients with failed venous thrombolysis and poor prognosis.Their combined detec-tion can effectively predict both uncanalization and poor prognosis.

Short-term prognostic value of soluble Axl receptor tyrosine kinase for elderly patients with acute decompensated heart failure / 中华老年心脑血管病杂志

Objective To investigate the clinical value of serum soluble Axl receptor tyrosine ki-nase(sAxlTK)in evaluating short-term prognosis in patients with acute decompensated heart failure(ADHF).Methods A total of 238 elderly ADHF patients admitted to Bozhou People's Hospital from January 1,2018 to October 1,2021 were recruited and divided into poor prognosis group(45 patients)and good prognosis group(193 patients)according to the occurrence of com-plex events within 90 d of follow-up.Based on the optimal cut-off value of serum sAxlTK level,they were also assigned into high level group(80 cases)and low level group(158 cases).Serum levels of sAxlTK,troponin Ⅰ(cTnⅠ)and N-terminal B-type natriuretic peptide precursor(NT-proBNP)were detected.Results Serum sAxlTK level was significantly higher in the poor prognosis group than the good prognosis group[43.89(33.95,51.44)μg/L vs 23.89(18.73,33.92)μg/L,P＜0.01].Multivariate logistic regression analysis showed that serum cTnⅠ and sAxlTK levels were independent risk factors for short-term poor prognosis in ADHF patients(OR=1.922,95％CI:1.035-3.568,P=0.039;OR=1.021,95％CI:1.008-1.034,P=0.001).ROC curve analysis indicated that the AUC value of combined serum sAxlTK,cTnⅠ and NT-proBNP levels to predict short-term poor prognosis was 0.836(95％CI:0.778-0.895).The incidence of complex events within 90 d was significantly higher in the high level group than the low level group(45.0％vs 5.7％,P＜0.05).Kaplan-Meier curve analysis revealed that the cumulative inci-dence of complex events was also higher in the high level group than the low level group(X2=66.991,Plog rank＜0.01).The high level group had significantly lower overall survival rate and worse survival prognosis than the low level group(X2=16.899,Plog rank＜0.01).Conclusion High serum sAxlTK level in elderly ADHF patients at admission is associated with a higher risk of 90-day short-term poor prognosis.Serum sAxlTK has the potential to become a useful tool for early prediction of short-term poor prognosis,and its combination with cTnⅠ and NT-proBNP can fur-ther improve the accuracy of prognosis prediction.

Influence of Escherichia coli in the intestine on short-term prognosis in patients with acute ischemic stroke:a primary study / 中华老年心脑血管病杂志

Objective To detect the content of intestinal Escherichia coli(E.coli)in patients with acute ischemic stroke(AIS)and to analyze the relationship between the bacteria and short-term prognosis of patients with cerebral stroke.Methods A total of 75 elderly AIS patients admitted to our department from March to December 2022 were enrolled,and divided into good prognosis group(47 cases)and poor prognosis group(28 cases)according to the results of modified Rankin scale 3 months after discharge.Multivariate logistic regression analysis was used to analyze the factors affecting the prognosis of the patients,and ROC curve analysis was employed to analyze the predictive value of the intestinal bacterial content for the short-term prognosis of stroke pa-tients.Results The NIHSS score at admission and E.coli content were significantly higher in the poor prognosis group than the good prognosis group(P＜0.01).Multivariate logistic regression analysis showed that NIHSS score at admission(OR=1.302,95％CI:1.077-1.573,P=0.006)and E.coli content(OR=2.803,95％CI:1.454-5.404,P=0.002)were independent risk factors for short-term poor prognosis in the AIS patients.ROC curve analysis indicated that the AUC value was 0.758 for E.coli content,0.718 for NIHSS score,and 0.818 when the 2 indicators combined together.Conclusion Intestinal E.coli content and NIHSS score may be related to the poor prog-nosis of elderly AIS patients.The higher the content of E.coli is,the worse the recovery of neuro-logical function,which affects the short-term prognosis of the patients.

Impact of the age-adjusted Charlson comorbidity index on in-hospital mortality in long-living people with community-acquired pneumonia and a predictive mortality model / 中华老年医学杂志

Objective:To investigate the relationship between the age-adjusted Charlson comorbidity index(aCCI)and the risk of in-hospital death for people aged ≥ 90 years with community-acquired pneumonia(CAP), and to construct a novel scoring model for predicting in-hospital mortality.Methods:Basic personal and medical data about sex, age, hospitalization days, hospitalization expenses, in-hospital outcomes and discharge/admitting diagnosis of CAP patients aged ≥ 90 years hospitalized in Peking University Third Hospital between 2010 and 2019 were collected retrospectively.Multivariate Logistic regression analysis was conducted to examine the association between aCCI or other complications and in-hospital death.The receiver operating characteristic curve(ROC)was used to assess the value of aCCI and a new scoring model in predicting in-hospital death of CAP in people aged ≥ 90 years.Results:A total of 274 CAP patients aged ≥ 90 years were included in this study, of whom 85 died in hospital.Multivariate Logistic regression analysis showed that malnutrition( OR=2.21, 95% CI: 1.05-4.67, P<0.05), respiratory failure( OR=18.91, 95% CI: 9.34-38.25, P<0.001)and aCCI( OR=1.51, 95% CI: 1.23-1.85, P<0.001)were prognostic factors for in-hospital death in CAP patients aged ≥ 90 years.Based on the above results, a novel scoring model, MRC(malnutrition, respiratory failure, aCCI)was established.The area under the ROC curve of the aCCI score for predicting the risk of in-hospital death in CAP patients aged ≥ 90 years was 0.743(95% CI: 0.684-0.802). The area under the ROC curve of the MRC score was 0.891(95% CI: 0.848-0.933), indicating a higher predictive value than that of the aCCI score alone( Z=6.337, P<0.001). Conclusions:The MRC score model can be used to evaluate and predict the risk of in-hospital death in long-living CAP patients.

The predictive value of sarcopenia index for postoperative pneumonia in ≥70 years old patients of esophageal cancer / 中华老年医学杂志

Objective:To investigate the clinical application value of commonly used preoperative indicators of sarcopenia in predicting postoperative pneumonia in patients aged 70 years and above with esophageal cancer.Methods:A retrospective analysis was conducted on the clinical data of 398 elderly patients(≥70 years old)with esophageal squamous cell carcinoma who underwent thoracic laparoscopic radical resection of esophageal cancer in our hospital from January 2020 to December 2021.The study aimed to investigate the correlation between clinical pathological indicators and commonly used measurement indicators of sarcopenia and postoperative pneumonia.Statistical analysis was performed to analyze the data.Results:The study found that the proportion of postoperative pneumonia in esophageal squamous cell carcinoma patients aged 70 years and above was 27.9%(111 out of 398). The pneumonia group had significantly lower preoperative BMI and peak expiratory flow(PEF)measurements compared to the non-pneumonia group, with statistically significant differences( t=2.799, 2.674, both P<0.05). Logistic multivariate analysis revealed that low PEF, low psoas major muscle index(PMI), and low psoas muscle density(PMD)were the primary risk factors for postoperative pneumonia in esophageal cancer patients aged 70 years and above(Wald χ2 values were 7.577, 6.091, 6.845, all P<0.05). The risk of postoperative pneumonia in esophageal cancer patients aged 70 years and above with low PEF, low PMI, and low PMD was found to be 1.969 times higher(95% CI: 1.215-3.185, P=0.006), 1.912 times higher(95% CI: 1.143-3.205, P=0.014), and 1.832 times higher(95% CI: 1.164-2.882, P=0.009)respectively, compared to patients with high PEF, high PMI, and high PMD. Conclusions:Low PEF, low PMI, and low PMD are significant risk factors for postoperative pneumonia in esophageal cancer patients aged 70 years and older.Preoperative PEF, PMI, and PMD, which are commonly utilized measurement indicators for sarcopenia, can be utilized as early screening indicators for postoperative pneumonia.