Objective:To investigate the relationship between dynamic alterations in serum albumin (ALB) concentrations and clinical outcomes in hospitalized surgical patients, thus providing a basis for optimizing clinical management strategies.Methods:This study utilized data from a prospective observational cohort study on nutritional status among 7 122 elderly hospitalized patients across 34 tertiary hospitals in 18 Chinese cities. A total of 1 714 surgical patients hospitalized for 7-30 days with complete data were included. Standardized protocols were used to collect demographic data, clinical outcomes, and a range of laboratory results, including nutritional and hematological parameters. Heterogeneous effects of ALB on clinical outcomes were explored. Receiver operating characteristic (ROC) curves were used to determine cutoff values for infection-related complications. Correlation analyses and multiple linear regression models were used to identify independent predictors of the absolute change in ALB (?ALB).Results:Among the surgical patients, 69.7% (1 195/1 714) experienced a decline in ALB levels during their hospital stay, which was significantly associated with the occurrence of both infection- and non-infection-related complications. Simultaneously, a marked decrease in ALB was also significantly correlated with changes in nutritional and inflammatory status during hospitalization, worsening of gastrointestinal symptoms at discharge, and functional activity abnormalities (all P<0.05). ?ALB exhibited a close association with outcome variables such as infection-related complications. Based on the incidence of infection-related complications, a cutoff value for ALB was calculated, dividing patients into a high-risk group ( n=179) and a low-risk group ( n=1 535), and a statistically significant difference in the incidence of infection-related complications was found between these two groups ( P<0.05). Correlation analysis and multiple linear regression modeling revealed that female gender, a higher baseline ALB level, a poorer baseline inflammatory status, an exacerbation of inflammatory status, larger alterations in platelet-to-lymphocyte ratio, and the presence of infection-related complications were predictive factors for a decline in ALB levels among surgical patients during their hospital stay. Conclusions:?ALB serves as a critical indicator of the inflammatory-nutritional interplay, with its magnitude of decline effectively predicting clinical outcomes and nutritional status changes and guiding multidisciplinary interventions in surgical patients.

Objective To construct a quality evaluation index system for non-medical technical services in public hospitals,aiming to provide a more scientific and feasible basis for evaluating patient service quality.Methods Based on literature research,the SERVQUAL theory was used to preliminarily formulate a comprehensive and full-cycle evaluation index for patient service quality.The final evaluation index system was determined through expert consultation,and the Analytic Hierarchy Process was used to determine the weights of the evaluation indices.Results The questionnaire response rates for the two rounds of expert consultation were both 100％.The authority coefficients of the experts were 0.82 and 0.80,respectively,indicating a high level of expert authority.The Kendall's W coefficient increased from 0.088 to 0.107 between the two rounds,and the difference was statistically significant (P<0.001),indicating good consistency of expert opinions.The consistency results of each judgment matrix were less than 0.1,passing the consistency test.The final evaluation index system consisted of six primary indicators (tangibility,reliability,responsiveness,assurance,empathy,and continuity) and 33 secondary indicators.Conclusion The selection of evaluation indicators revolves around the core service processes of outpatient,inpatient,and other hospital services,focusing on key elements at various critical junctures that influence patient experience.The evaluation indicators aim to guide hospitals to improve not only essential needs but also desired improvements in service quality,thus promoting the continuous enhancement of hospital services.

Objective:To investigate the predictive value of the cancer antigen 125 (CA 125) elimination rate constant K (KELIM) score for no visible residual disease (R0) and prognosis in high-grade serous ovarian carcinoma (HGSOC) patients undergoing neoadjuvant chemotherapy (NACT)+interval debulking surgery (IDS). Methods:A retrospective analysis was conducted on 78 HGSOC patients treated with NACT+IDS at Beijing Hospital, from June 2014 to June 2024. The KELIM score was calculated, and its predictive value for R0 resection, chemotherapy response score (CRS), platinum-free interval (PFI), progression-free survival (PFS) time, and overall survival (OS) time was analyzed.Results:(1) The mean age at diagnosis was (61.9±9.9) years. The mean KELIM score was 1.1±0.4, with 44 patients having KELIM score≥1 and 34 having KELIM score <1. (2) Patients with KELIM score ≥1 had significantly higher rates of R0 resection (84% vs 56%; P=0.006), CRS3 grading (41% vs 0; P<0.001), and PFI ≥6 months (84% vs 53%; P=0.04) compared to those with KELIM score <1. Additionally, the median PFS time (18.7 vs 13.2 months; P<0.001) and OS time (34.8 vs 29.9 months; P=0.007) were significantly longer in the KELIM score ≥1 group. Chemosensitivity: patients with PFI <6 months had a significantly lower median KELIM score than those with PFI ≥6 months (0.8 vs 1.2; P=0.005). Surgical outcome: patients achieving R0 resection had a significantly higher median KELIM score than those without R0 (1.2 vs 0.7; P<0.001). (3) Univariate analysis identified non-R0 resection, CRS3 grading, lack of poly adenosine diphosphate ribose polymerase (PARP) inhibitor maintenance therapy, and KELIM score <1 as significant risk factors for OS time (all P<0.05). Multivariate analysis confirmed non-R0 resection ( HR=3.78,95% CI: 1.13-12.66; P=0.031), no PARP inhibitor maintenance ( HR=7.41,95% CI:1.82-30.15; P=0.005), and KELIM score <1 ( HR=5.14,95% CI:1.41-18.72; P=0.013) as independent risk factors for OS time. Conclusions:The KELIM score may serve as a predictive marker for chemosensitivity, R0 resection, PFS time, and OS time in HGSOC patients undergoing NACT+IDS. KELIM score<1 is an independent risk factor for OS.

Objective:To investigate the relationship between dynamic alterations in serum albumin (ALB) concentrations and clinical outcomes in hospitalized surgical patients, thus providing a basis for optimizing clinical management strategies.Methods:This study utilized data from a prospective observational cohort study on nutritional status among 7 122 elderly hospitalized patients across 34 tertiary hospitals in 18 Chinese cities. A total of 1 714 surgical patients hospitalized for 7-30 days with complete data were included. Standardized protocols were used to collect demographic data, clinical outcomes, and a range of laboratory results, including nutritional and hematological parameters. Heterogeneous effects of ALB on clinical outcomes were explored. Receiver operating characteristic (ROC) curves were used to determine cutoff values for infection-related complications. Correlation analyses and multiple linear regression models were used to identify independent predictors of the absolute change in ALB (?ALB).Results:Among the surgical patients, 69.7% (1 195/1 714) experienced a decline in ALB levels during their hospital stay, which was significantly associated with the occurrence of both infection- and non-infection-related complications. Simultaneously, a marked decrease in ALB was also significantly correlated with changes in nutritional and inflammatory status during hospitalization, worsening of gastrointestinal symptoms at discharge, and functional activity abnormalities (all P<0.05). ?ALB exhibited a close association with outcome variables such as infection-related complications. Based on the incidence of infection-related complications, a cutoff value for ALB was calculated, dividing patients into a high-risk group ( n=179) and a low-risk group ( n=1 535), and a statistically significant difference in the incidence of infection-related complications was found between these two groups ( P<0.05). Correlation analysis and multiple linear regression modeling revealed that female gender, a higher baseline ALB level, a poorer baseline inflammatory status, an exacerbation of inflammatory status, larger alterations in platelet-to-lymphocyte ratio, and the presence of infection-related complications were predictive factors for a decline in ALB levels among surgical patients during their hospital stay. Conclusions:?ALB serves as a critical indicator of the inflammatory-nutritional interplay, with its magnitude of decline effectively predicting clinical outcomes and nutritional status changes and guiding multidisciplinary interventions in surgical patients.

ObjectiveTo analyze the adverse reactions associated with the clinical use of Banxia （Rhizoma Pinelliae）- Wutou （Aconitum） in the same formula， with the aim of providing a reference for the safety of their clinical application. MethodsLiterature on the clinical application of antagonistic herbs "Banxia-Wutou" used in the same formula， published from January 1st， 2014， to June 30th， 2023， was retrieved from databases including CNKI， VIP， Wanfang， SinoMed， PubMed， Cochrane Library， and Embase. A database was established， and information related to adverse reactions was extracted， including descriptions， classifications， specific manifestations， management and outcomes， patients' primary diseases （western medicine diseases and traditional Chinese medicine diagnoses and syndromes）， and medication information （dosage， ratio， administration routes， and dosage forms）. ResultsA total of 79 researches simultaneously used antagonistic herbs Banxia-Wutou in the same formula and reported associated advers reactions. Gastrointestinal adverse reactions were the most common， with 8 studies reporting management of adverse reactions and 3 studies reporting improvement with no intervention. Among the 11 researches， the adverse reaction relieved to extant， while other 69 researches didn't report the managment of adverse reaction and its prognosis. For the primary disease in western medicine system， chronic bronchitis and chronic obstructive pulmonary disease （COPD） were most common， while gastric pain was the most common symptom in traditional Chinese medicine with spleen and kidney deficiency and spleen stomach cold deficiency being the most frequent syndromes. The most common Banxia dosage was 10 g， while for the Wutou， Fuzi （Radix Aconiti Lateralis Praeparata） was predominant with the highest dose at 15 g. The most frequent herbal combination was Banxia-fuzi， with a 1∶1 ratio. The main administration route was oral， and the primary dosage form was decoction. ConclusionGastrointestinal adverse reactions are the most common in the clinical use of Banxia-Wutou antagonistic herb combinations. Research on the safety of "Banxia-Wutou" combinations should focus on respiratory system diseases and spleen-stomach related conditions.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

Objective To evaluate the current situation of disease control in middle-aged and elderly patients with chronic obstructive pulmonary disease (COPD) and analyze the relationship with disease cognition. Methods Among the 360 middle-aged and elderly COPD patients diagnosed and treated in our hospital from January 2022 to June 2024 were retrospectively selected as research subjects, and the COPD Assessment Test Questionnaire (CAT), COPD Patient Knowledge Questionnaire (BCKQ) and the hampion Health Belief Model Scale were used to evaluate disease control, disease cognition and health beliefs in COPD patients. The Pearson chi-square test was used to analyze the relationship between disease control level and disease cognition and health beliefs in older patients with COPD. Results A total of 360 middle-aged and elderly COPD patients, 112 were in the complete control group, 189 were in the partial control group, and 59 were in the uncontrolled group, the disease control rate was 83.61%. The differences in disease cognitive scores, severity cognition, susceptibility cognition, disorder cognition, benefit cognition, health motivation, self-efficacy score and total health belief scores in middle-aged and elderly COPD patients with different disease control conditions are statistically significant. The scores of the complete control group were higher than those of partial control group and uncontrolled group, and the scores of partial control group were higher than those of the uncontrolled group (P <0.05). The disease control level of middle-aged and elderly patients with COPD is positively correlated with disease cognitive level and health belief in all dimensions. The higher the disease control level, the higher the disease cognitive level and health belief in the patient . Conclusions Middle-aged and elderly COPD patients still have insufficient awareness of the disease, and the level of disease control needs to be improved. There is a significant correlation between disease cognition, health beliefs and the level of disease control, and the improved cognitive level may help to improve the disease management and control effect. For middle-aged and elderly COPD patients, the community can provide health education courses, personalized health guidance and self-management training to enhance their awareness of diseases, so as to improve the long-term management of COPD and the quality of life of patients.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

Objective:To investigate the predictive value of the cancer antigen 125 (CA 125) elimination rate constant K (KELIM) score for no visible residual disease (R0) and prognosis in high-grade serous ovarian carcinoma (HGSOC) patients undergoing neoadjuvant chemotherapy (NACT)+interval debulking surgery (IDS). Methods:A retrospective analysis was conducted on 78 HGSOC patients treated with NACT+IDS at Beijing Hospital, from June 2014 to June 2024. The KELIM score was calculated, and its predictive value for R0 resection, chemotherapy response score (CRS), platinum-free interval (PFI), progression-free survival (PFS) time, and overall survival (OS) time was analyzed.Results:(1) The mean age at diagnosis was (61.9±9.9) years. The mean KELIM score was 1.1±0.4, with 44 patients having KELIM score≥1 and 34 having KELIM score <1. (2) Patients with KELIM score ≥1 had significantly higher rates of R0 resection (84% vs 56%; P=0.006), CRS3 grading (41% vs 0; P<0.001), and PFI ≥6 months (84% vs 53%; P=0.04) compared to those with KELIM score <1. Additionally, the median PFS time (18.7 vs 13.2 months; P<0.001) and OS time (34.8 vs 29.9 months; P=0.007) were significantly longer in the KELIM score ≥1 group. Chemosensitivity: patients with PFI <6 months had a significantly lower median KELIM score than those with PFI ≥6 months (0.8 vs 1.2; P=0.005). Surgical outcome: patients achieving R0 resection had a significantly higher median KELIM score than those without R0 (1.2 vs 0.7; P<0.001). (3) Univariate analysis identified non-R0 resection, CRS3 grading, lack of poly adenosine diphosphate ribose polymerase (PARP) inhibitor maintenance therapy, and KELIM score <1 as significant risk factors for OS time (all P<0.05). Multivariate analysis confirmed non-R0 resection ( HR=3.78,95% CI: 1.13-12.66; P=0.031), no PARP inhibitor maintenance ( HR=7.41,95% CI:1.82-30.15; P=0.005), and KELIM score <1 ( HR=5.14,95% CI:1.41-18.72; P=0.013) as independent risk factors for OS time. Conclusions:The KELIM score may serve as a predictive marker for chemosensitivity, R0 resection, PFS time, and OS time in HGSOC patients undergoing NACT+IDS. KELIM score<1 is an independent risk factor for OS.

In order to integrate clinical data, image data, and omics data scattered across different systems, and effectively support clinical research based on real-world data, a hospital has integrated Hadoop big data processing technology with distributed parallel database technology to build a data storage and calculation system that integrates lakes and warehouses. Through the integration of 15 medical information system data, data governance based on patient master indexes, and the design and development of an application platform that covered 8 major functions and integrated general scientific research and specialized disease applications, the hospital has built an integrated scientific research big data platform, which included 3.3 billion pieces of data from 20.26 million patients and 98.57 million visits, and has built 3 specialized disease databases. From January to August 2024, it has supported data extraction and analysis for 35 research projects, reducing traditional code-based data retrieval time from 5-45 workdays to several hours or even minutes, significantly enhancing the efficiency of clinical research.