UNASSIGNED: Acute Type A Aortic Dissection (AAAD) is one of the most life-threatening diseases, often associated with transient hyperglycemia induced by acute physiological stress. The impact of stress-induced hyperglycemia on the prognosis of ST-segment elevation myocardial infarction has been reported. However, the relationship between stress-induced hyperglycemia and the prognosis of AAAD patients remains uncertain.
UNASSIGNED: The clinical data of 456 patients with acute type A aortic dissection were retrospectively reviewed. Patients were divided into two groups based on their admission blood glucose. Cox model regression analysis was performed to assess the relationship between stress-induced hyperglycemia and the 30-day and 1-year mortality rates of these patients.
UNASSIGNED: Among the 456 patients, 149 cases (32.7%) had AAAD combined with stress-induced hyperglycemia (SIH). The results of the multifactor regression analysis of the Cox model indicated that hyperglycemia (RR = 1.505, 95% CI: 1.046-2.165, p = 0.028), aortic coarctation involving renal arteries (RR = 3.330, 95% CI: 2.237-4.957, p < 0.001), aortic coarctation involving superior mesenteric arteries (RR = 1.611, 95% CI: 1.056-2.455, p = 0.027), and aortic coarctation involving iliac arteries (RR = 2.034, 95% CI: 1.364-3.035, p = 0.001) were independent influences on 1-year postoperative mortality in AAAD patients.
UNASSIGNED: The current findings indicate that stress-induced hyperglycemia measured on admission is strongly associated with 1-year mortality in patients with AAAD. Furthermore, stress-induced hyperglycemia may be related to the severity of the condition in patients with AAAD.

OBJECTIVE: To investigate the risk factors of pulmonary infection in patients with acute leukemia (AL) after chemotherapy.
METHODS: A total of 294 patients with AL were collected and divided into infection group (n=93) and control group (n=201) according to whether the pulmonary infection occurred after chemotherapy. Analyze the correlation between sociodemographic data (sex, age, BMI), clinical data (disease type, ECOG score, invasive procedure, underlying disease, hormone therapy, empirical use of antibiotics, prognosis stratification, chemotherapy intensity, primitive cell count, white blood cell count, neutrophil count, duration of granulocyte deficiency, platelet count, hemoglobin, and albumin and pulmonary infection after chemotherapy. COX regression method was used to analyze the risk factors of pulmonary infection in AL patients after chemotherapy.
RESULTS: Among 294 patients with AL, 11 died within 30 days after pulmonary infection. There were statistically significant differences in age, smoking history, ECOG score, invasive procedure, hormone therapy, empirical use of antibiotics, prognosis stratification, chemotherapy intensity, primitive cell count, neutrophil count, duration of granulocyte deficiency, platelet count, hemoglobin, albumin and fasting blood glucose between the 2 groups (P <0.05). COX regression analysis showed that smoking history, invasive procedure, unexperienced use of antibiotics, poor prognosis, long duration of granulocytopenia, low platelet level and low albumin were high risk factors for pulmonary infection in AL patients after chemotherapy (P <0.05).
CONCLUSIONS: Smoking, invasive procedures, unexperienced use of antibiotics, poor prognosis, long duration of granulodeficiency, low platelet levels and low albumin are risk factors for pulmonary infection in AL patients after chemotherapy.
UNASSIGNED: 急性白血病患者化疗后肺部感染的危险因素分析.
UNASSIGNED: 探讨急性白血病（AL）患者化疗后肺部感染的危险因素。.
UNASSIGNED: 收集294例AL患者作为研究对象，根据化疗后是否肺部感染分为感染组 （93例）和对照组（201例），分析社会人口学资料（性别、年龄、BMI）、临床资料（疾病类型、ECOG评分、侵入性操作、基础疾病、激素治疗、经验性使用抗生素、预后分层、化疗强度、原始细胞计数、白细胞计数、中性粒细胞计数、粒缺持续时间、血小板计数、血红蛋白、白蛋白、空腹血糖）与AL化疗后肺部感染的相关性，采用COX回归法分析急性白血病患者化疗后肺部感染的危险因素。.
UNASSIGNED: 294例AL患者肺部感染后30 d内死亡病例为11例。感染组与未感染组患者在年龄、吸烟史、ECOG评分、侵入性操作、激素治疗、经验性使用抗生素、预后分层、化疗强度、原始细胞计数、中性粒细胞计数、粒缺持续时间、血小板计数、血红蛋白、白蛋白、空腹血糖方面差异有统计学意义（P <0.05）。COX回归分析结果显示，吸烟史、侵入性操作、未预防性使用抗生素、预后不良、粒缺持续时间长、血小板水平低、白蛋白低是AL患者化疗后肺部感染的高危因素（P <0.05）。.
UNASSIGNED: 吸烟、侵入性操作、未预防性使用抗生素、预后不良、粒缺持续时间长、血小板水平低、白蛋白低是AL患者化疗后肺部感染的高危因素。.

OBJECTIVE: To investigate the effect of CD8+ CD28- T cells on acute graft-versus-host disease(aGVHD) after haploidentical hematopoietic stem cell transplantation(haplo-HSCT).
METHODS: The relationship between absolute count of CD8+ CD28- T cells and aGVHD in 60 patients with malignant hematological diseases was retrospectively analyzed after haplo-HSCT, and the differences in the incidence rate of chronic graft-versus host disease(cGVHD), infection and prognosis between different CD8+ CD28- T absolute cells count groups were compared.
RESULTS: aGVHD occurred in 40 of 60 patients after haplo-HSCT, with an incidence rate of 66.67%. The median occurrence time of aGVHD was 32.5(20-100) days. At 30 days after the transplantation, the absolute count of CD8+ CD28- T cells of aGVHD group was significantly lower than that of non-aGVHD group (P =0.03). Thus the absolute count of CD8+ CD28- T cells at 30 days after transplantation can be used to predict the occurrence of aGVHD to some extent. At 30 days after transplantation, the incidence rate of aGVHD in the low cell count group (CD8+ CD28- T cells absolute count < 0.06/μl) was significantly higher than that in the high cell count group (CD8+ CD28- T cells absolute count ≥0.06/μl,P =0.011). Multivariate Cox regression analysis further confirmed that the absolute count of CD8+ CD28-T cells at 30 days after transplantation was an independent risk factor for aGVHD, and the risk of aGVHD in the low cell count group was 2.222 times higher than that in the high cell count group (P =0.015). The incidence of cGVHD, fungal infection, EBV infection and CMV infection were not significantly different between the two groups with different CD8+ CD28- T cells absolute count. The overall survival, non-recurrent mortality and relapse rates were not significantly different between different CD8+ CD28- T cells absolute count groups.
CONCLUSIONS: Patients with delayed CD8+ CD28- T cells reconstitution after haplo-HSCT are more likely to develop aGVHD, and the absolute count of CD8+ CD28- T cells can be used to predict the incidence of aGVHD to some extent. The absolute count of CD8+ CD28- T cells after haplo-HSCT was not associated with cGVHD, fungal infection, EBV infection, and CMV infection, and was also not significantly associated with the prognosis after transplantation.
UNASSIGNED: CD8+ CD28- T细胞对单倍型造血干细胞移植后急性移植物抗宿主病的影响.
UNASSIGNED: 探讨CD8+ CD28- T细胞对单倍型造血干细胞移植（haplo-HSCT）后急性移植物抗宿主病（aGVHD）的影响。.
UNASSIGNED: 回顾性分析60 例行haplo-HSCT的血液病患者移植后CD8+ CD28- T细胞绝对计数与aGVHD的关系，并比较不同CD8+ CD28- T细胞绝对计数组间慢性移植物抗宿主病（cGVHD）、感染及预后的差异。.
UNASSIGNED: 60例行haplo-HSCT患者中有40例发生aGVHD,发生率为66.67%，中位发生时间为32.5(20-100)天。Haplo-HSCT后30天, aGVHD组CD8+ CD28- T细胞绝对计数显著低于无aGVHD组（P =0.03）。ROC曲线表明移植后30天 CD8+ CD28- T细胞绝对计数在一定程度上可预测aGVHD的易感性。移植后30天低细胞计数组（CD8+ CD28- T细胞绝对计数< 0.06/μl）患者的aGVHD发生率显著高于高细胞计数组(CD8+ CD28- T细胞绝对计数≥0.06/μl, P =0.011)。多因素Cox回归分析进一步验证了移植后30天 CD8+ CD28- T细胞绝对计数是aGVHD发生的独立风险因素，低细胞计数组aGVHD的发生风险是高细胞计数组的2.222倍（P =0.015）。不同CD8+ CD28-T细胞绝对计数组间cGVHD、真菌感染、EB病毒感染、巨细胞病毒感染的发生无统计学差异。不同CD8+ CD28- T细胞绝对计数组的总生存率、非复发相关死亡率、复发率没有显示出明显的统计学差异。.
UNASSIGNED: 行haplo-HSCT后30天CD8+ CD28-T细胞延迟重建的患者更易发生aGVHD，并且 CD8+ CD28- T细胞绝对计数在一定程度上可预测其易感性。单倍型造血干细胞移植后CD8+ CD28- T细胞绝对计数与 cGVHD、真菌感染、EB病毒感染、巨细胞病毒感染无关，且与移植后的生存预后无显著相关。.

BACKGROUND: For acute type A aortic dissection involving the aortic root with root diameter no more than 45 mm, there are various aortic root repair techniques. In this study, a novel surgical technique using a pericardial autograft for aortic root repair was introduced. We described its surgical steps in detail and compare its clinical outcomes with direct suture technique.
METHODS: Between July 2017 and August 2022, 95 patients with acute type A aortic dissection who underwent aortic root repair were enrolled, including aortic root repair using pericardial autograft (group A, n = 49) or direct suture (group B, n = 46). The patient\'s clinical data were retrospectively analyzed, and a 5-year follow-up was conducted.
RESULTS: The 30-day mortality, re-exploration for bleeding, postoperative new-onset renal failure requiring continuous renal replacement therapy, stroke, and paraplegia occurred in 3%, 4%, 11%, 5%, and 2% of the overall patients, respectively. There was no significant difference in the 30-day mortality and complication rate between the two groups. The 30-day mortality and re-exploration for bleeding marked the primary endpoint events. Logistic regression analysis indicated that there was a significant correlation between the primary endpoint events and surgical technique (odds ratio, 0.002; 95% confidence interval, 0-0.159; P = 0.026). The aortic valve insufficiency of the two groups were significantly improved after operation (group A, P < 0.001; group B, P < 0.001). During follow-up, there was no significant difference in short-term survival between the two groups after surgery (log-rank P = 0.75), and all patients were free from reoperation for aortic disease.
CONCLUSIONS: Patients who underwent aortic root repair using pericardial autograft tended to have reduced 30-day mortality and a lower risk of re-exploration for bleeding. Using pericardial autograft for aortic root repair is a safe and useful approach for patients with acute type A aortic dissection involving the aortic root.

UNASSIGNED: Arteriosclerosis is a primary causative factor in cardiovascular diseases. This study aims to explore the correlation between the atherogenic index of plasma (AIP) and the 30-day mortality rate in patients with acute decompensated heart failure (ADHF).
UNASSIGNED: A total of 1,248 ADHF patients recruited from the Jiangxi-Acute Decompensated Heart Failure1 (JX-ADHF1) cohort between 2019 and 2022 were selected for this study. The primary outcome was the 30-day mortality rate. Multivariable Cox regression, restricted cubic splines (RCS), and stratified analyses were utilized to assess the relationship between AIP and the 30-day mortality rate in ADHF patients. Mediation models were employed for exploratory analysis of the roles of inflammation, oxidative stress, and nutrition in the association between AIP and the 30-day mortality rate in ADHF patients.
UNASSIGNED: During the 30-day follow-up, 42 (3.37%) of the ADHF patients died. The mortality rates corresponding to the quartiles of AIP were as follows: Q1: 1.28%, Q2: 2.88%, Q3: 2.88%, Q4: 6.41%. The multivariable Cox regression revealed a positive correlation between high AIP and the 30-day mortality rate in ADHF patients [Hazard ratio (HR) 3.94, 95% confidence interval (CI): 1.08-14.28], independent of age, gender, heart failure type, cardiac function classification, and comorbidities. It is important to note that there was a U-shaped curve association between AIP (<0.24) and the 30-day mortality rate before the fourth quartile, with the lowest 30-day mortality risk in ADHF patients around an AIP of -0.1. Furthermore, mediation analysis suggested significant mediating effects of inflammation and nutrition on the 30-day mortality rate in ADHF patients related to AIP, with inflammation accounting for approximately 24.29% and nutrition for about 8.16% of the mediation effect.
UNASSIGNED: This retrospective cohort analysis reveals for the first time the association between AIP and the 30-day mortality rate in ADHF patients. According to our findings, maintaining an AIP around -0.1 in ADHF patients could be crucial for improving poor prognoses from a medical perspective. Additionally, for ADHF patients with high AIP, it is important to assess and, if necessary, enhance nutritional support and anti-inflammatory treatment.

BACKGROUND: Acute type A aortic dissection is a dangerous disease that threatens public health. In recent years, with the progress of medical technology, the mortality rate of patients after surgery has been gradually reduced, leading that previous prediction models may not be suitable for nowadays. Therefore, the present study aims to find new independent risk factors for predicting in-hospital mortality and construct a nomogram prediction model.
METHODS: The clinical data of 341 consecutive patients in our center from 2019 to 2023 were collected, and they were divided into two groups according to the death during hospitalization. The independent risk factors were analyzed by univariate and multivariate logistic regression, and the nomogram was constructed and verified based on these factors.
RESULTS: age, preoperative lower limb ischemia, preoperative activated partial thromboplastin time (APTT), preoperative platelet count, Cardiopulmonary bypass (CPB) time and postoperative acute kidney injury (AKI) independently predicted in-hospital mortality of patients with acute type A aortic dissection after surgery. The area under the receiver operating characteristic curve (AUC) for the nomogram was 0.844. The calibration curve and decision curve analysis verified that the model had good quality.
CONCLUSIONS: The new nomogram model has a good ability to predict the in-hospital mortality of patients with acute type A aortic dissection after surgery.

BACKGROUND: Acute epiglottitis is not uncommon and it can cause high mortality due to airway obstruction. Acute epiglottitis complicated with cervical necrotizing fasciitis has rarely been reported, and it is also a life-threatening disease with a fatality rate of 7% to 50%.
METHODS: A 64-year-old woman presented to our hospital with chief complaints of sore throat and cervical swelling, long with foreign body sensation and hoarseness. Endoscopic laryngoscopy showed erythematous and swollen epiglottis with purulent secretions on the surface. Computed tomography (CT) scan showed swollen epiglottis and swelling of the neck with air- and fluid-containing necrotizing tissue.
METHODS: The diagnosis was acute epiglottitis and abscess complicated with cervical necrotizing fasciitis.
METHODS: With the patient in awake condition, airway access was established by performing intubation with adjunctive use of gum elastic bougie, followed by surgical debridement under general anesthesia; a flap was used for skin coverage and intravenous piperacillin-tazobactam was administered.
RESULTS: The patient was discharged without complications.
CONCLUSIONS: Gum elastic bougie is a usable tool in difficult intubation. Adequate pre-anesthesia evaluation, patient sedation, and gentle manipulation assured the intubation success in this case.

Background: Hemoptysis is prevalent in acute pulmonary embolism (PE) and significantly influences clinical decision-making. Despite the increasing reports of PE in patients with autoimmune diseases, limited studies have investigated the association between acute PE with hemoptysis and autoimmune disease. Methods: The retrospective study aimed to investigate patients with autoimmune disease who presented with acute PE and hemoptysis at Peking Union Medical College Hospital (PUMCH) between January 2012 and October 2020. A comparative analysis was conducted between patients with and without hemoptysis, as well as between those with autoimmune diseases and those without. Clinical characteristics, PE severity stratification, the amount of hemoptysis, initial anticoagulation management, and prognosis were analyzed descriptively. Results: The study analyzed 896 patients diagnosed with acute PE, of whom 105 (11.7%) presented with hemoptysis. Hemoptysis in PE patients was frequently associated with autoimmune diseases (39%, 41/105), a younger patient population (42.0 vs. 52.7 years old, P =0.002), and a higher prevalence of low-risk PE (53.7 vs. 28.1, P=0.008) compared with non-autoimmune disease patients. Multivariate logistic analysis showed PE patients with primary or metastatic lung cancer, chest pain, age < 48 years old, chronic heart failure, autoimmune disease, pulmonary infection and male were more likely to develop hemoptysis. Patients were grouped based on maximum daily sputum blood volume and PE risk stratification. Most patients (73.2%) received therapeutic-dose anticoagulation. Poor prognosis is observed in patients with moderate to massive hemoptysis and intermediate-high-risk or high-risk PE. Conclusions: Hemoptysis is a relatively common manifestation in patients with PE, and its presence during the diagnostic workup of acute PE necessitates careful analysis of underlying comorbidities. In cases where hemoptysis occurs in individuals with autoimmune diseases in the context of PE, proactive management strategies targeting the primary disease are crucial. Therapeutic decisions should consider both PE severity stratification and the volume of hemoptysis.

UNASSIGNED: To explore the relationship between serum calcium levels and the prognosis of severe acute osteomyelitis, and to assess the effectiveness of calcium levels in prognostic evaluation.
UNASSIGNED: Relevant patient records of individuals diagnosed with severe acute osteomyelitis were obtained for this retrospective study from the Medical Information Mart for Intensive Care (MIMIC-IV). The study aimed to assess the impact of different indicators on prognosis by utilizing COX regression analysis. To enhance prognostic prediction for critically ill patients, a nomogram was developed. The discriminatory capacity of the nomogram was evaluated using the Area Under the Curve (AUC) of the Receiver Operating Characteristic (ROC) curve, in addition to the calibration curve.
UNASSIGNED: The study analyzed a total of 1,133 cases of severe acute osteomyelitis, divided into the survivor group (1,025 cases) and the non-survivor group (108 cases). Significant differences were observed between the two groups in terms of age, hypertension, sepsis, renal injury, and various laboratory indicators, including WBC, PLT, Ca2+, CRP, hemoglobin, albumin, and creatinine (P<0.05). However, no significant differences were found in race, gender, marital status, detection of wound microbiota, blood sugar, lactate, and ALP levels. A multivariate COX proportional hazards model was constructed using age, hypertension, sepsis, Ca2+, creatinine, albumin, and hemoglobin as variables. The results revealed that hypertension and sepsis had a significant impact on survival time (HR=0.514, 95% CI 0.339-0.779, P=0.002; HR=1.696, 95% CI 1.056-2.723, P=0.029). Age, hemoglobin, Ca2+, albumin, and creatinine also showed significant effects on survival time (P<0.05). However, no statistically significant impact on survival time was observed for the other variables (P>0.05). To predict the survival time, a nomogram was developed using the aforementioned indicators and achieved an AUC of 0.841. The accuracy of the nomogram was further confirmed by the ROC curve and calibration curve.
UNASSIGNED: According to the findings, this study establishes that a reduction in serum calcium levels serves as a distinct and standalone predictor of mortality among individuals diagnosed with severe acute osteomyelitis during their stay in the Intensive Care Unit (ICU) within a span of two years.

BACKGROUND: Acute pancreatitis is one of the most common diseases requiring emergency surgery. Rapid and accurate recognition of acute pancreatitis can help improve clinical outcomes. This study aimed to develop a deep learning-powered diagnostic model for acute pancreatitis.
METHODS: In this investigation, we enrolled a cohort of 190 patients with acute pancreatitis who were admitted to Sichuan Provincial People\'s Hospital between January 2020 and December 2021. Abdominal computed tomography (CT) scans were obtained from both patients with acute pancreatitis and healthy individuals. Our model was constructed using two modules: (1) the acute pancreatitis classifier module; (2) the pancreatitis lesion segmentation module. Each model\'s performance was assessed based on precision, recall rate, F1-score, Area Under the Curve (AUC), loss rate, frequency-weighted accuracy (fwavacc), and Mean Intersection over Union (MIOU).
RESULTS: Upon admission, significant variations were observed between patients with mild and severe acute pancreatitis in inflammatory indexes, liver, and kidney function indicators, as well as coagulation parameters. The acute pancreatitis classifier module exhibited commendable diagnostic efficacy, showing an impressive AUC of 0.993 (95%CI: 0.978-0.999) in the test set (comprising healthy examination patients vs. those with acute pancreatitis, P < 0.001) and an AUC of 0.850 (95%CI: 0.790-0.898) in the external validation set (healthy examination patients vs. patients with acute pancreatitis, P < 0.001). Furthermore, the acute pancreatitis lesion segmentation module demonstrated exceptional performance in the validation set. For pancreas segmentation, peripancreatic inflammatory exudation, peripancreatic effusion, and peripancreatic abscess necrosis, the MIOU values were 86.02 (84.52, 87.20), 61.81 (56.25, 64.83), 57.73 (49.90, 68.23), and 66.36 (55.08, 72.12), respectively. These findings underscore the robustness and reliability of the developed models in accurately characterizing and assessing acute pancreatitis.
CONCLUSIONS: The diagnostic model for acute pancreatitis, driven by deep learning, exhibits excellent efficacy in accurately evaluating the severity of the condition.
BACKGROUND: This is a retrospective study.