[摘 要] 目的：探讨嗜酸性粒细胞（Eos）和其他循环血细胞和炎症指标在预测小细胞肺癌（SCLC）免疫治疗疗效和免疫相关不良反应（irAE）中的价值。方法:回顾分析2013年8月至2023年7月期间海军军医大学第一附属医院呼吸科收治的410例SCLC患者临床信息；在化疗或免疫治疗前，以及治疗后的3个周期，分别检测患者全血细胞计数和细胞因子等指标；记录irAE的发生时间、类型、分级，以及随访情况。结果: 接受化疗联合免疫检查点抑制剂（ICI）治疗（简称联合治疗）的患者116例，其中一线联合治疗患者91例、后线联合治疗25例。联合组患者的总有效率（ORR）为44.8%，疾病控制率（DCR）为90.5%，单用化疗（单化）组患者的ORR为38.4%，DCR为85.0%。联合组中位PFS为8.9（7.2～10.5）个月，中位OS为17.7（13.9～21.5）个月。将联合组与单化组行倾向得分匹配（PSM）法配对，对比二组治疗后3周期的绝对嗜酸性粒细胞计数（AEC）水平、相对嗜酸性粒细胞计数（REC）水平；计算历次复查Eos水平与基线Eos水平的比值（AECT1/0、AECT2/0、AECT3/0、RECT1/0、RECT2/0、RECT3/0），联合组的AECT3/0和RECT3/0显著高于单化组。单因素分析表明，基线AEC和REC的升高与较好的治疗至失败时间（TTF）和OS显著相关（P < 0.05）；治疗后Eos水平与基线水平的比例（AECT3/0、RECT3/0）与较好的PFS和TTF显著相关（P < 0.05）；RECT3/0升高同样与OS改善显著相关（P < 0.05）。多因素分析提示，AECT3/0 > 0.41与较好的PFS和TTF显著相关（P < 0.05）；当RECT3/0 > 0.32时，与较好的PFS、TTF、OS均显著相关（P < 0.05）；RECT3/0 > 0.27仅与较好的TTF、OS显著相关（P < 0.05）。亚组分析发现，缓解组的RECT3/0显著高于非缓解组（P < 0.05）。一线应用ICI与二线/后线应用ICI患者的PFS、TTF、OS无统计学差异，但一线应用ICI时ORR（50% vs 25%，P < 0.05）和DCR（93.48% vs 79.17%，P < 0.05）显著优于二线/后线。116例联合治疗患者发生43例irAE（35.34%）, 最常见的为免疫相关性皮炎8.62%；Ⅲ级以上的irAE共17例（14.66%）；因irAE停药10例（8.62%），死亡2例;发生irAE的患者PFS较未发生irAE的患者显著延长（P < 0.05），而TTF和OS无统计学差异。发生irAE患者的RECT3较未发生irAE患者显著升高（P < 0.05），AECT3/0 > 0.29的患者irAE发生率显著增高（P < 0.05）。结论: Eos是SCLC接受ICI治疗的保护性因素，通过监测AECT3/0、RECT3/0，并结合患者的临床病理生理特征、细胞因子和炎症标志物水平进行综合评估，可有效预测SCLC患者的免疫治疗疗效和irAE的发生。

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.

Objective To investigate the efficacy and safety of the Corheart 6 left ventricular assist system in patients with end-stage heart failure. Methods A retrospective study was conducted on patients with end-stage heart failure who were treated with Corheart 6 left ventricular assist system from March 2022 to June 2024 in 4 hospitals in Jiangsu Province. The efficacy of the device was evaluated by comparing changes in clinical indicators at preoperative, discharge, 3-month postoperative, and 6-month postoperative timepoints, including the New York Heart Association (NYHA) functional classification, left ventricular ejection fraction (LVEF), and left ventricular end-diastolic diameter (LVEDD). The safety of the device was assessed by analyzing the intraoperative position and orientation of the blood pump inlet cannula, as well as the incidence of adverse events. Results In this study, 39 patients were collected, including 34 males and 5 females with a mean age of (56.4±12.5) years, ranging from 20 to 75 years. There was no operative death. There was no death in postoperative 3 months with a survival rate of 100.0%. There were 3 deaths in 6 months postoperatively, with a survival rate of 92.3%. All patients had a preoperative NYHA cardiac function classification of class Ⅳ. The NYHA cardiac function class of the patients improved (P<0.05) at discharge, 3 and 6 months after surgery when compared to the preoperative period. LVEF was significantly higher at 3 months after surgery than that during the preoperative period (P<0.05). LVEDD was significantly smaller at discharge, 3 and 6 months after surgery than that during the preoperative period (P<0.05). The safety evaluation's findings demonstrated that all 39 patients' intraoperative blood pump inlet tubes were oriented correctly, the artificial blood vessel suture sites were appropriate, there were no instances of device malfunction or pump thrombosis, or instances of bleeding or hemolysis, and the rate of the remaining adverse events was low. Conclusion With a low rate of adverse events and an excellent safety profile, the Corheart 6 left ventricular assist system can efficiently enhance cardiac function in patients with end-stage heart failure. It also has considerable clinical uses.

Objective To compare the long-term prognosis of elderly patients with stageⅠnon-small cell lung cancer (NSCLC) after lobectomy or segmentectomy. Methods Data of elderly patients with stageⅠNSCLC between 2010 and 2020 were collected from the SEER database. According to the resection method, patients were divided into a lobectomy group and a segmentectomy group. The overall survival (OS) and lung cancer-specific survival (LCSS) of the two groups were compared by propensity score matching (lobectomy : segmentectomy=2 : 1). Results A total of 9990 patients were included, including 5840 (58.46%) females and 4150 (41.54%) males, with an average age of (70.48±6.47) years. Among them, 9029 patients were in the lobectomy group and 961 patients were in the segmentectomy group. After propensity score matching, a total of 2883 patients were matched, including 1 922 patients in the lobectomy group and 961 patients in the segmentectomy group. There was no statistical difference in baseline data between the two groups (P>0.05). The 10-year OS rate and LCSS rate of the lobectomy group were higher than those of the segmentectomy group (OS: 51.15% vs. 38.35%, P<0.01; LCSS: 79.68% vs. 71.52%, P<0.01). Subgroup analysis showed that the survival advantage of lobectomy was found in patients aged 60-<70 years and ≥80 years; for patients 70-<80 years, there was no statistical difference in OS or LCSS between the two surgical methods (P>0.05). In addition, for patients with tumor diameter ≤2 cm (stages ⅠA1-ⅠA2), lymph node dissection number≥10, and receiving adjuvant radiotherapy/chemotherapy, segmentectomy could also achieve a similar prognosis as lobectomy. Conclusion Overall, for elderly patients with stage ⅠNSCLC, lobectomy can achieve better OS and LCSS. However, individual differences, tumor characteristics, and perioperative treatment plans should be considered comprehensively to determine the surgical method for elderly patients with stageⅠNSCLC.

The extracellular matrix provides a unique tissue-specific microenvironment for resident cells, supporting the essential functions required for tissue architecture and biochemical signaling. Decellularized extracellular matrix (dECM) is designed to eliminate cells that mediate immunological rejection while preserving the native tissue structure and matrix functionality. dECM has attracted significant attention in tissue engineering applications and has evolved into a novel and increasingly sophisticated biomaterial. This article summarizes representative protocols for decellularization methods, explores the latest applications of decellularized tissue-derived materials and bioinks in the field of cardiothoracic surgery, analyzes the current challenges and issues confronting dECM, and discusses future perspectives for its development.

Objective To clarify the risk factors of diaphragmatic dysfunction (DD) after cardiac surgery with extracorporeal circulation. Methods A retrospective analysis was conducted on the data of patients who underwent cardiac surgery with extracorporeal circulation in the Department of Cardiovascular Surgery of Peking University People's Hospital from January 2023 to March 2024. Patients were divided into two groups according to the results of bedside diaphragm ultrasound: a DD group and a control group. The preoperative, intraoperative, and postoperative indicators of the patients were compared and analyzed, and independent risk factors for DD were screened using multivariate logistic regression analysis. Results A total of 281 patients were included, with 32 patients in the DD group, including 23 males and 9 females, with an average age of (64.0±13.5) years. There were 249 patients in the control group, including 189 males and 60 females, with an average age of (58.0±11.2) years. The body mass index of the DD group was lower than that of the control group [(18.4±1.5) kg/m2 vs. (21.9±1.8) kg/m2, P=0.004], and the prevalence of hypertension, chronic obstructive pulmonary disease, heart failure, and renal insufficiency was higher in the DD group (P<0.05). There was no statistical difference in intraoperative indicators (operation method, extracorporeal circulation time, aortic clamping time, and intraoperative nasopharyngeal temperature) between the two groups (P>0.05). In terms of postoperative aspects, the peak postoperative blood glucose in the DD group was significantly higher than that in the control group (P=0.001), and the proportion of patients requiring continuous renal replacement therapy was significantly higher than that in the control group (P=0.001). The postoperative reintubation rate, tracheotomy rate, mechanical ventilation time, and intensive care unit stay time in the DD group were higher or longer than those in the control group (P<0.05). Multivariate logistic regression analysis showed that low body mass index [OR=0.72, 95%CI (0.41, 0.88), P=0.011], preoperative dialysis [OR=2.51, 95%CI (1.89, 4.14), P=0.027], low left ventricular ejection fraction [OR=0.88, 95%CI (0.71, 0.93), P=0.046], and postoperative hyperglycemia [OR=3.27, 95%CI (2.58, 5.32), P=0.009] were independent risk factors for DD. Conclusion The incidence of DD is relatively high after cardiac surgery, and low body mass index, preoperative renal insufficiency requiring dialysis, low left ventricular ejection fraction, and postoperative hyperglycemia are risk factors for DD.