目的 探讨血清乳酸脱氢酶（LDH）在中晚期肝癌患者接受靶向联合免疫治疗后的预后预测价值。方法 选取2022年1月—2024年8月在莆田学院附属医院肿瘤内科经病理和影像学检查确诊的中晚期肝癌患者作为研究对象。从医院的电子病历系统中收集患者的基线资料，随访截止2025年8月，并记录随访结果，包括患者的疾病缓解情况和死亡情况，以及无疾病进展生存期（PFS）、总生存期（OS）。采用Kaplan-Meier方法绘制不同基线LDH水平患者的OS生存曲线，并通过Log-rank检验比较生存曲线。同时，运用多因素Cox比例风险回归分析探讨影响中晚期肝癌患者在接受靶向联合免疫治疗后OS的相关因素。结果 结果显示，在50例肝癌患者中，基线LDH低于200 U/L的有15例，而高于200 U/L的有35例。与基线LDH＜200 U/L组相比，基线 LDH≥200 U/L患者PFS、OS更短，差异均有统计学意义（χ²分别为5.51、15.6，P值分别为0.019、0.017）。治疗8周后，与LDH降低患者相比，LDH升高患者OS更短，差异有统计学意义（χ²=13.2，P=0.04）。多因素Cox比例风险回归分析结果表明，基线LDH水平超过200 U/L是中晚期肝癌患者接受靶向联合免疫治疗后OS的影响因素［P=0.035，HR（95%CI）=5.03（1.12，22.54）］。结论 基线LDH水平较低的患者表现出更好的OS。基线LDH水平可以作为预测中晚期肝癌患者在接受靶向联合免疫治疗时预后的指标。 

   Objective To evaluate the prognostic significance of serum lactate dehydrogenase（LDH）levels in patients with advanced hepatocellular carcinoma（HCC）undergoing targeted therapy combined immunotherapy．Methods Patients diagnosed with advanced HCC were selected in Putian College Affiliated Hospital from January 2022 to August 2024，diagnosed with pathological and imaging examinations results．Patient baseline data were collected from the hospital’s electronic medical records，with follow-up extending until August 2025．We documented outcomes such as disease response and mortality，along with progression-free survival（PFS）and overall survival（OS）．Kaplan-Meier survival curves were constructed based on baseline LDH levels，and the Log-rank test was employed for comparison．Additionally，multivariate Cox proportional hazards regression analysis was conducted to identify factors influencing OS in patients receiving targeted therapy combined immunotherapy．Results Among the 50 patients，15 had baseline LDH levels below 200 U/L，while 35 had levels above．Patients with baseline LDH≥200 U/L had significantly shorter PFS and OS than those with baseline LDH ＜200 U/L（χ²=5.51 and 15.6 for PFS and OS，respectively；P=0.019 and 0.017，respectively）．After 8 weeks of treatment，patients with increased LDH had significantly shorter OS compared with patients with decreased LDH（χ²=13.2，P=0.04）．Multivariate Cox proportional hazards regression analysis indicated that a baseline LDH level exceeding 200 U/L is an independent prognostic factor for OS in patients with intermediate to advanced HCC receiving targeted therapy combined with immunotherapy（P=0.035，HR 5.03［1.12，22.54］）．Conclusions Patients with lower baseline LDH levels demonstrated better OS，suggesting that baseline LDH can serve as an important prognostic indicator for advanced HCC patients undergoing targeted combined immunotherapy．

       目的 探究肺泡灌洗液靶向高通量测序（tNGS）在鹦鹉热衣原体肺炎中应用效果。方法 选取2021年5月—2025年3月我院收治的35例鹦鹉热衣原体肺炎患者进行研究，患者均接受肺泡灌洗液tNGS检测、肺泡灌洗液常规病原检测，以病原学为金标准，分析肺泡灌洗液tNGS对鹦鹉热衣原体肺炎的诊断效能。结果 金标准对鹦鹉热衣原体阳性检出35例，检出率100.00%，肺泡灌洗液tNGS阳性检出率高于传统病原检测，检测结果回报耗时短于肺泡灌洗液传统病原检测（P＜0.05）。结论 鹦鹉热衣原体肺炎临床症状缺乏特异性，容易转为重症肺炎，肺泡灌洗液tNGS可提高鹦鹉热衣原体肺炎检出率且结果回报较快，采用四环素类、喹诺酮类抗生素有助于改善患者预后。

     Objective To investigate the application effect of targeted next-generation sequencing（tNGS）of bronchoalveolar lavage fluid（BALF）in Chlamydia psittaci pneumonia．Methods Thirty-five patients with Chlamydia psittaci pneumonia admitted to our hospital from May 2021 to March 2025 were selected for the study．All patients underwent BALF tNGS and conventional BALF pathogen detection．With etiology as the gold standard，the diagnostic efficacy of BALF tNGS for Chlamydia psittaci pneumonia was analyzed．Results The gold standard detected 35 cases of Chlamydia psittaci positive，with a detection rate of 100.00%．The positive detection rate of tNGS in alveolar lavage fluid was higher than that of traditional pathogen detection，and the results report time of tNGS was shorter than that of traditional pathogen detection（P＜0.05）．Conclusions Chlamydia psittaci pneumonia lacks specificity in clinical symptoms and is easy to turn into severe pneumonia，bronchoalveolar lavage fluid tNGS can improve the detection rate of Chlamydia psittaci pneumonia and the results return quickly，and the use of tetracyclines and quinolones antibiotics can help improve the prognosis of patients．

       目的 构建首发脑出血患者并发卒中相关性肺炎的风险预测模型并验证模型的预测性能。方法 回顾性分析2012年1月—2022年12月广州市第一人民医院治的419例首发脑出血患者的临床资料，按照7︰3比例随机化分为训练列（293例）和验证队列（126例）。统计基于开发队列数据，采用Logistic回归模型分析首发脑出血患者并发卒中相关性肺炎的影响因素，并构建风险预测模型。基于开发队列和验证队列数据，采用校准曲线、受试者操作特征（ROC）曲线下面积和决策曲线分析模型的预测性能。结果 419例首发脑出血患者中有113例发生卒中相关性肺炎，发生率为26.97%。美国国立卫生研究院卒中量表（NIHSS）评分、吞咽困难、初始血肿体积、中性粒细胞百分比与白蛋白比值（NPAR）、中性粒细胞计数与淋巴细胞计数比值（NLR）、手术治疗、气管插管、留置胃管均是首发脑出血患者并发卒中相关性肺炎的影响因素（P＜0.05）。基于上述影响因素构建了首发脑出血患者并发卒中相关性肺炎的风险预警模型，校准曲线显示模型在开发队列和验证队列中预测卒中相关性肺炎发生率均与实际发生率相近；ROC曲线显示此模型在开发队列、验证队列中预测的曲线下面积分别为0.906（95%CI：0.867~0.937）、0.884（95%CI：0.815~0.934）；决策曲线分析显示当开发队列阈概率在3%~80%内、验证队列阈概率在2%~76%内使用此模型干预比全/无干预更有临床价值。结论 基于NIHSS评分、吞咽困难、初始血肿体积、NPAR、NLR、手术治疗、气管插管、留置胃管构建的首发脑出血患者并发卒中相关性肺炎的风险预测模型具有良好预测性能和临床应用价值。

      Objective To construct a risk prediction model for stroke associated pneumonia in patients with initial cerebral hemorrhage（ICH）and validate the predictive performance of the model．Methods A retrospective analysis was conducted on the clinical data of 419 patients with ICH admitted to our hospital from January 2012 to December 2022．They were randomly divided into a development cohort（293 cases）and a validation cohort（126 cases）according to a 7∶3 ratio．The Logistic regression model was used to analyze the influencing factors of stroke related pneumonia in patients with ICH based on the development cohort data，and a risk prediction model was constructed．Based on the development cohort data and validation cohort data，the predictive performance of the model was analyzed using calibration curves，receiver operating characteristic（ROC）curve，and decision curve analysis．Results Among 419 patients，113 developed stroke associated pneumonia，with a rate of 26.97%．The National Institutes of Health Stroke Scale（NIHSS）score，swallowing difficulties，initial hematoma volume，neutrophil percentage to albumin ratio（NPAR），neutrophil count to lymphocyte count ratio（NLR），surgical treatment，endotracheal intubation，and indwelling gastric tube were all independent influencing factors for stroke associated pneumonia in patients with ICH（P＜0.05）．Based on the above influencing factors，a risk prediction model for stroke associated pneumonia in patients with ICH was constructed．The calibration curve showed that the predicted incidence of stroke associated pneumonia by the model in both the development and validation cohorts was close to the actual incidence．The ROC curve showed that the predicted area under the curve for this model in the development cohort and validation cohort was 0.906（95%CI：0.867-0.937）and 0.884（95%CI：0.815-0.934），respectively．The decision curve analysis showed that when the threshold probability of the development cohort was between 3%-80%，and the threshold probability of the validation cohort was between 2%-76%，the intervention using this model was more clinically valuable than all/no intervention．

Conclusions The risk prediction model for stroke associated pneumonia in patients with ICH based on NIHSS score，swallowing difficulties，initial hematoma volume，NPAR，NLR，surgical treatment，tracheal intubation，and indwelling gastric tube has good predictive performance and clinical application value．

目的 探讨入院时血清淀粉样蛋白A（SAA）、载脂蛋白A1（ApoA1）、C反应蛋白（CRP）水平联合检测对老年急性脑梗死（ACI）患者规范治疗后3个月内发生预后不良的早期预测效能。方法 前瞻性选取2023年1月～2025年1月于焦作市第五人民医院就诊的108例老年ACI患者作为ACI组，另选取同期健康志愿者108例作为对照组。比较两组血清SAA、ApoA1、CRP水平。老年ACI患者予以规范治疗，根据治疗后3个月内预后情况将其分为预后不良（46例）和预后良好（62例）亚组，比较不同预后ACI患者患者临床资料及入院时血清SAA、ApoA1、CRP水平；Logistic回归分析入院时血清SAA、ApoA1、CRP水平是否为老年ACI患者规范治疗后3个月内发生预后不良的独立影响因素；ROC曲线分析入院时血清SAA、ApoA1、CRP水平联合检测对ACI患者预后不良的预测效能。结果 ACI组入院时血清SAA、CRP水平高于对照组，血清ApoA1水平低于对照组（P＜0.05）；预后不良亚组高血压占比、入院NIHSS评分、梗死体积、入院时血清SAA、CRP水平高于预后良好亚组，血清ApoA1水平低于预后良好亚组（P＜0.05）；剔除存在多重共线性指标高血压、入院NIHSS评分、梗死体积后，入院时血清SAA、ApoA1、CRP水平仍是老年ACI患者规范治疗后3个月内发生预后不良的独立影响因素（P＜0.05）；入院时血清SAA、ApoA1、CRP水平联合预测ACI患者预后不良的AUC值为0.873，显高于各指标单独预测值0.738、0.768、0.749（P＜0.05）。结论 入院时血清SAA、ApoA1、CRP水平是老年ACI患者预后不良的独立影响因素，联合检测对预后不良具有较高的预测效能，可将其作为ACI患者血清敏感指标，协助临床医师早期制定针对性干预措施，减少ACI患者预后不良的发生。

目的 探讨冠心病（CHD）患者经皮冠状动脉介入（PCI）术后冠脉微循环损伤（CMI）发生的影响因素及构建的Logistic风险预测模型对CMI发生的预测效能，以指导临床制定针对性的干预措施。方法 选取2023年4月至2025年4月于本院接受PCI治疗的143例CHD患者为研究对象，依据PCI术后1 d是否发生CMI，将其分为发生CMI组（86例）和未发生CMI组（57例）。比较两组临床资料；分析CHD患者PCI术后发生CMI的影响因素，构建Logistic风险预测模型，分析其对PCI术后CMI发生的预测效能。结果 发生CMI组心肌梗死病史、糖尿病史、吸烟史、NYHA心功能分级为Ⅲ级、多支冠脉病变、伴有冠脉中重度钙化、症状出现至PCI时间＞6 h占比及冠脉狭窄率、预扩张次数、预扩张时间高于未发生CMI组，最大扩张压力、术后即刻TIMI血流分级为3级占比低于未发生CMI组，PCI术前血清ANGPTL3、EMMPRIN水平及hs-CRP/PA高于未发生CMI组（P＜0.05）；Logistic多因素分析结果显示，糖尿病史、冠脉狭窄率、预扩张次数、NYHA心功能分级、冠脉中重度钙化、症状出现至PCI时间及ANGPTL3、EMMPRIN、hs-CRP/PA为CHD患者PCI术后发生CMI的独立危险因素，最大扩张压力为其独立保护因素（P＜0.05）；构建的Logistic风险预测模型预测PCI术后CMI发生风险的AUC值为0.901（95%CI：0.840～0.945），敏感度、特异度分别为82.56%、80.70%，且该模型与观测值拟合度良好，具有良好的区分度、校准度和临床适用性。结论 依据CHD患者PCI术后发生CMI的影响因素构建的Logistic风险预测模型对CMI发生具有较高的预测效能，可指导临床制定针对性干预措施，以减少PCI术后CMI发生，改善CHD患者预后。

目的 探讨慢性阻塞性肺疾病急性加重期（AECOPD）合并呼吸衰竭机械通气患者发生撤机相关性肺水肿（WIPE）的影响因素，以指导临床早期制定个体化干预方案。方法 前瞻性选取2022年5月～2025年5月于本院接受机械通气治疗的AECOPD合并呼吸衰竭患者209例为研究对象，依据自主呼吸试验（SBT）开始后1 h内是否发生WIPE将其分为发生组73例、未发生组136例。统计两组临床资料，通过单因素、多因素Logistic回归分析确定WIPE发生的影响因素，基于回归分析构建预测模型，并验证模型的预测效能。结果 发生组年龄、入院时急性生理与慢性健康评分系统Ⅱ（APACHEⅡ）评分、浅快呼吸指数、入院时肺部超声评分、糖尿病占比、机械通气治疗24 h后动脉血二氧化碳分压（PaCO2）≥80 mmHg占比、机械通气时间≥7 d占比、吸烟史占比、合并多器官功能障碍综合征（MODS）占比、合并左心室舒张功能障碍占比高于未发生组，撤机前6 h血清高迁移率蛋白B1（HMGB1）、C反应蛋白（CRP）、乳酸（Lac）/白蛋白（Alb）高于未发生组（P＜0.05）；入院时APACHEⅡ评分、糖尿病、机械通气治疗24 h后PaCO2、机械通气时间、吸烟史、合并MODS、入院时肺部超声评分及HMGB1、Lac/Alb、CRP为WIPE发生的独立危险因素（P＜0.05）；预测模型预测WIPE发生风险的AUC值为0.880，敏感度、特异度分别为86.30%、72.79%，Hosmer-Lemeshow检验显示该模型与观测值拟合度良好，DCA曲线显示风险阈值在0.05～0.91时该模型具有良好的临床净获益。结论 入院时APACHEⅡ评分、糖尿病、机械通气治疗24 h后PaCO2、机械通气时间、吸烟史、合并MODS、入院时肺部超声评分及HMGB1、Lac/Alb、CRP为AECOPD合并呼吸衰竭机械通气患者发生WIPE的独立危险因素，基于以上危险因素构建的预测模型预测效能良好，临床应制定针对性干预方案，以降低WIPE发生风险。

目的：基于文献计量学梳理惯性测量技术在步态分析领域的研究演进与热点结构，并从护理评估与干预转化角度分析其应用空白。方法：检索 Web of Science 核心合集2005年1月1日至2025年4月5日相关英文文献，纳入1,079篇记录；采用 CiteSpace 6.3.R1、VOSviewer 1.6.20 分析年度发文、国家/地区合作、期刊分布、关键词共现与突现，并在 Python 3.10 中以 PPMI/TF-IDF 表征、SVD降维、UMAP-HDBSCAN聚类开展关键词和摘要语义分析。结果：2006—2024年发文量由1篇增至140篇，年复合增长率为31.6%，2024年达到峰值；最高频关键词为 gait（404次）、gait analysis（268次）、walking（252次）、balance（183次）和 inertial sensors（156次）。关键词与摘要语义聚类的二维轮廓系数分别为0.579和0.642，热点集中于帕金森病/冻结步态、跌倒风险、平衡稳定性、可穿戴传感器、机器学习和康复干预。含 nursing/care 等护理相关词项的记录为142篇，但“护理”尚未形成独立主题簇。结论：惯性测量步态分析已形成医工交叉的成熟热点，但护理主导的连续评估、风险预警和干预闭环仍不足。未来应将步速、步态变异性、稳定性、对称性等参数转化为可执行的护理评估指标，推动精准护理场景中的临床验证与流程整合。

Objective: To map the research evolution and hotspot structure of inertial-measurement-based gait analysis and to examine its translational gap in nursing assessment and intervention. Methods: A total of 1,079 English records published from January 1, 2005 to April 5, 2025 were retrieved from the Web of Science Core Collection. CiteSpace 6.3.R1 and VOSviewer 1.6.20 were used for annual output, collaboration, journal distribution, keyword co-occurrence and burst analyses. Keyword and abstract semantic clusters were further examined in Python 3.10 using PPMI/TF-IDF representation, SVD, UMAP and HDBSCAN. Results: Publications increased from 1 in 2006 to 140 in 2024, with a compound annual growth rate of 31.6%. The most frequent terms were gait, gait analysis, walking, balance and inertial sensors. The two-dimensional silhouette coefficients of keyword and abstract semantic clusters were 0.579 and 0.642, respectively. Major hotspots involved Parkinson disease/freezing of gait, fall risk, balance and stability, wearable sensors, machine learning and rehabilitation. Records containing nursing/care-related terms accounted for 142 publications, but nursing did not form an independent topic cluster. Conclusion: Inertial-measurement-based gait analysis has become a mature medical-engineering research field, while nurse-led continuous assessment, risk warning and intervention feedback loops remain underdeveloped. Translating gait speed, variability, stability and symmetry into actionable nursing indicators should be prioritized in future clinical validation.

目的：基于文献计量学梳理惯性测量技术在步态分析领域的研究演进与热点结构，并从护理评估与干预转化角度分析其应用空白。方法：检索 Web of Science 核心合集2005年1月1日至2025年4月5日相关英文文献，纳入1,079篇记录；采用 CiteSpace 6.3.R1、VOSviewer 1.6.20 分析年度发文、国家/地区合作、期刊分布、关键词共现与突现，并在 Python 3.10 中以 PPMI/TF-IDF 表征、SVD降维、UMAP-HDBSCAN聚类开展关键词和摘要语义分析。结果：2006—2024年发文量由1篇增至140篇，年复合增长率为31.6%，2024年达到峰值；最高频关键词为 gait（404次）、gait analysis（268次）、walking（252次）、balance（183次）和 inertial sensors（156次）。关键词与摘要语义聚类的二维轮廓系数分别为0.579和0.642，热点集中于帕金森病/冻结步态、跌倒风险、平衡稳定性、可穿戴传感器、机器学习和康复干预。含 nursing/care 等护理相关词项的记录为142篇，但“护理”尚未形成独立主题簇。结论：惯性测量步态分析已形成医工交叉的成熟热点，但护理主导的连续评估、风险预警和干预闭环仍不足。未来应将步速、步态变异性、稳定性、对称性等参数转化为可执行的护理评估指标，推动精准护理场景中的临床验证与流程整合。

Objective: To map the research evolution and hotspot structure of inertial-measurement-based gait analysis and to examine its translational gap in nursing assessment and intervention. Methods: A total of 1,079 English records published from January 1, 2005 to April 5, 2025 were retrieved from the Web of Science Core Collection. CiteSpace 6.3.R1 and VOSviewer 1.6.20 were used for annual output, collaboration, journal distribution, keyword co-occurrence and burst analyses. Keyword and abstract semantic clusters were further examined in Python 3.10 using PPMI/TF-IDF representation, SVD, UMAP and HDBSCAN. Results: Publications increased from 1 in 2006 to 140 in 2024, with a compound annual growth rate of 31.6%. The most frequent terms were gait, gait analysis, walking, balance and inertial sensors. The two-dimensional silhouette coefficients of keyword and abstract semantic clusters were 0.579 and 0.642, respectively. Major hotspots involved Parkinson disease/freezing of gait, fall risk, balance and stability, wearable sensors, machine learning and rehabilitation. Records containing nursing/care-related terms accounted for 142 publications, but nursing did not form an independent topic cluster. Conclusion: Inertial-measurement-based gait analysis has become a mature medical-engineering research field, while nurse-led continuous assessment, risk warning and intervention feedback loops remain underdeveloped. Translating gait speed, variability, stability and symmetry into actionable nursing indicators should be prioritized in future clinical validation.

【摘要】目的：探究血液透析患者C反应蛋白、白蛋白、铁蛋白联合检测对营养不良-炎症综合征的评估价值。方法：回顾性选取2025年2月至2026年2月我院收治的血液透析患者104例作为研究对象，根据是否发生营养不良-炎症综合征（MICS）分为MICS组51例和单纯透析组53例，获取患者临床资料，并于透析前检测血清C反应蛋白、白蛋白、铁蛋白水平，采用多因素logistic回归分析影响血液透析患者发生MICS的危险因素，并采用ROC曲线评估各指标联合检测对MICS的诊断价值。结果：MICS组血清C反应蛋白、铁蛋白水平高于单纯透析组，血清白蛋白水平低于单纯透析组（P<0.05）。logistic回归分析结果显示，C反应蛋白、白蛋白、铁蛋白水平是影响血液透析患者发生MICS的危险因素（P<0.05）。ROC曲线分析结果显示，当白蛋白的最佳诊断截断值为（33.89）g/L，C反应蛋白的最佳诊断截断值为（13.17）mg/L，铁蛋白的最佳诊断截断值为（247.53）ng/mL，此时联合检测诊断MICS的AUC为0.973、敏感度为（98.00）和特异度为（83.02），高于任一单项指标检测（P<0.05）。结论：血液透析患者血清C反应蛋白、铁蛋白升高，血清白蛋白水平下降，三者联合诊断MIAS的临床价值较高。

目的 分析2024年2月至2026年2月郑州人民医院收治的急性下呼吸道感染（ALRTI）患儿的病原体分布情况及其流行病学特征。方法 选取2024年2月—2026年2月于郑州人民医院就诊的193例ALRTI患儿为研究对象，采集患儿咽拭子样本，统计患儿病原体检测结果，比较不同性别、不同年龄段、不同发病季节患儿病原体分布情况。结果 193例患儿中，经病原体检测出阳性患儿165例，总阳性检出率85.49%，检出率最高的前三位为RSV（20.73%）、MP（19.69%）、HRV（15.54%）；婴儿期患儿RSV感染占比（44.83%）最高，其次为HRV感染（20.69%），幼儿期患儿RSV、HRV、MP感染占比（17.31%、17.31%、19.23%）均较高，学龄前、学龄期患儿MP感染占比（33.33%、26.32%）最高，婴儿期患儿混合感染占比（6.90%）较低，学龄前患儿混合感染占比（20.00%）较高；春季时，各病原体分布较均衡，HRV、MP、SP感染占比（14.58%、12.50%、14.58%）均较高，夏季、秋季时，MP感染率（31.82%、28.85%）较高，冬季时，RSV感染率（55.10%）较高，四个季节中混合感染患儿占比较接近，其中秋季感染率（17.31%）相对较高。结论 2024年至2026年郑州人民医院收治的急性下呼吸道感染患儿病原体中，RSV、MP为主要病原体，各呼吸道病原体随患儿年龄段、季节变化存在不同发病高峰，临床应结合实际情况早期鉴别病原体，以指导临床制定针对性治疗方案，改善患儿预后。

Objective To analyze the distribution of pathogens and the epidemiological characteristics of children with acute lower respiratory tract infections (ALRTI) admitted to Zhengzhou People’s Hospital from February 2024 to February 2026. Methods: A total of 193 pediatric patients with ALRTI who visited Zhengzhou People’s Hospital between February 2024 and February 2026 were selected as study subjects. Throat swab samples were collected from the patients, and pathogen testing results were compiled to compare the distribution of pathogens across different genders, age groups, and seasons of onset. Results: Among the 193 children, 165 tested positive for pathogens, resulting in an overall positive detection rate of 85.49%. The top three most frequently detected pathogens were RSV (20.73%), MP (19.69%), and HRV (15.54%); RSV infection had the highest prevalence (44.83%) among infants, followed by HRV infection (20.69%). Among preschoolers, the prevalence of RSV, HRV, and MP infections (17.31%, 17.31%, and 19.23%, respectively) was relatively high. MP infections were most common among preschool and school-age children (33.33% and 26.32%, respectively); the proportion of mixed infections was lower among infants (6.90%) but higher among preschoolers (20.00%); In spring, the distribution of pathogens was relatively balanced, with high proportions of HRV, MP, and SP infections (14.58%, 12.50%, and 14.58%, respectively). In summer and fall, the MP infection rate was high (31.82% and 28.85%, respectively). In winter, the RSV infection rate (55.10%) was high. The proportion of children with mixed infections was relatively similar across the four seasons, with a relatively higher infection rate (17.31%) in autumn. Conclusion: Among the pathogens identified in children with acute lower respiratory tract infections admitted to Zhengzhou People’s Hospital from 2024 to 2026, RSV and MP were the primary pathogens. The incidence peaks of various respiratory pathogens varied according to the children’s age groups and seasons. Clinicians should conduct early pathogen identification based on actual conditions to guide the development of targeted treatment plans and improve patient outcomes.