OBJECTIVE: To explore the prognostic value of C-reactive protein (CRP)/albumin (Alb) ratio combined with platelet count (PLT) and Glasgow coma score (GCS) in patients with heat stroke (HS). METHODS: A retrospective analysis was conducted on the clinical data of HS patients admitted to the department of intensive care unit (ICU) of Nanchong Central Hospital from May 1, 2020 to October 31, 2023. This included general information, admission GCS, laboratory indicators and 28-day prognosis. The differences in the above indicators were compared between two groups of patients with different prognoses. Statistically significant indicators from univariate analysis were included in multivariate Logistic regression analysis to screen for factors influencing 28-day mortality in HS patients. The predictive value of various influencing factors on the 28 days prognosis of HS patients were analyzed by receiver operator characteristic curve (ROC curve). RESULTS: A total of 73 HS patients were included, of whom 41 survived for 28-day and 32 died. There were no statistically significant differences in gender and age between the two groups of HS patients with different prognoses. The white blood cell count (WBC), neutrophil count (NEU), aspartate aminotransferase (AST), alanine aminotransferase (ALT), CRP, and CRP/Alb ratio in the death group were significantly higher than those of the survival group, and the admission GCS score, platelet count (PLT), total bilirubin (TBil) and Alb were significantly lower than the survival group [WBC (×10⁹/L): 14.80 (11.44, 17.15) vs. 11.96 (9.47, 14.82), NEU (×10⁹/L): 13.05 (8.56, 15.67) vs. 9.50 (6.68, 12.09), AST (U/L): 108.00 (52.70, 291.50) vs. 64.50 (38.25, 110.50), ALT (U/L): 62.00 (19.50, 159.00) vs. 34.50 (20.75, 70.75), CRP (mg/L): 22.49 (3.42, 58.93) vs. 3.68 (1.01, 11.46), CRP/Alb ratio: 0.53 (0.08, 1.77) vs. 0.08 (0.02, 0.44), GCS score: 7.0 (5.0, 8.0) vs. 8.5 (7.0, 11.0), PLT (×10⁹/L): 107.00 (73.50, 126.00) vs. 131.50 (107.50, 176.25), TBil (mmol/L): 15.60 (10.00, 25.30) vs. 21.40 (14.80, 30.05), Alb (g/L): 32.65 (32.53, 49.30) vs. 38.70 (36.20, 40.40), all P < 0.05]. Binary Logistic regression analysis showed that the GCS score [odds ratio (OR) = 0.686, 95% confidence interval (95%CI) was 0.491-0.959, P = 0.028], PLT (OR = 0.973, 95%CI was 0.954-0.992, P = 0.005), NEU (OR = 1.312, 95%CI was 1.072-1.606, P = 0.009) and CRP/Alb ratio (OR = 7.652, 95%CI was 1.632-35.881, P = 0.010) were independent influencing factors for 28-day mortality in HS patients. ROC curve analysis showed that the area under the curve (AUC) of GCS score, PLT, and CRP/Alb ratio for single prediction of 28-day prognosis in HS patients was 0.705, 0.752, and 0.729, and the combination of all three predicted the highest AUC of 28-day prognosis in HS patients (0.917), with a sensitivity and specificity of 86.2% and 81.2%, respectively. CONCLUSION CRP/Alb ratio, PLT, and GCS score are independent influencing factors affecting the prognosis of HS patients, and all of them have a certain predictive value for the prognosis of HS patients, in which the combination of the three has a higher predictive value for the prognosis of HS patients.
Humans ; C-Reactive Protein/analysis* ; Prognosis ; Glasgow Coma Scale ; Retrospective Studies ; Heat Stroke/diagnosis* ; Platelet Count ; Male ; Female ; Serum Albumin/analysis* ; Middle Aged ; Aged ; Adult ; ROC Curve

OBJECTIVE: To explore, identify, and develop novel blood-based indicators using machine learning algorithms for accurate preoperative assessment and effective prediction of postoperative complication risks in patients with rheumatoid arthritis (RA) undergoing total knee arthroplasty (TKA). METHODS: A retrospective cohort study was conducted including RA patients who underwent unilateral TKA between January 2019 and December 2024. Inpatient and 30-day postoperative outpatient follow-up data were collected. Six machine learning algorithms, including decision tree, random forest, logistic regression, support vector machine, extreme gradient boosting, and light gradient boosting machine, were used to construct predictive models. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), F1-score, accuracy, precision, and recall. SHapley Additive exPlanations (SHAP) values were employed to interpret and rank the importance of individual variables. RESULTS: According to the inclusion criteria, a total of 1 548 patients were enrolled. Ultimately, 18 preoperative indicators were identified as effective predictive features, and 8 postoperative complications were defined as prediction labels for inclusion in the study. Within 30 days after surgery, 453 patients (29.2%) developed one or more complications. Considering overall accuracy, precision, recall, and F1-score, the random forest model [AUC=0.930, 95% CI (0.910, 0.950)] and the extreme gradient boosting model [AUC=0.909, 95% CI (0.880, 0.938)] demonstrated the best predictive performance. SHAP analysis revealed that anti-cyclic citrullinated peptide antibody, C-reactive protein, rheumatoid factor, interleukin-6, body mass index, age, and smoking status made significant contributions to the overall prediction of postoperative complications. CONCLUSION Machine learning-based models enable accurate prediction of postoperative complication risks among RA patients undergoing TKA. Inflammatory and immune-related blood biomarkers, such as anti-cyclic citrullinated peptide antibody, C-reactive protein, and rheumatoid factor, interleukin-6, play key predictive roles, highlighting their potential value in perioperative risk stratification and individualized management.
Humans ; Arthroplasty, Replacement, Knee/adverse effects* ; Arthritis, Rheumatoid/blood* ; Machine Learning ; Postoperative Complications/blood* ; Female ; Male ; Retrospective Studies ; Middle Aged ; Aged ; Risk Factors ; Preoperative Period ; C-Reactive Protein/analysis* ; Risk Assessment

PURPOSE: To screen laboratory markers with predictive value in early spinal surgical site infections (SSI) that are diagnosed within 30 days postoperatively. METHODS: Patients who underwent surgical treatment for internal spinal fixation between March 2022 and March 2023 in our hospital were retrospectively studied. The inclusion criteria were aged >18 years, undergoing internal fixation surgery, complete medical records with >30 days of postoperative follow-up, diagnosis was made within 30 days postoperatively, and an informed consent form was obtained. The exclusion criteria were abnormal white blood cell count or neutrophil percentage in the preoperative blood routine and combined diseases that may affect the C-reactive protein (CRP) or procalcitonin (PCT) values, including lower respiratory tract infection, renal insufficiency, and liver disease. We collected patients' personal information, surgical information, and blood laboratory data, including CRP, PCT, lymphocyte-neutrophil ratio, platelet-neutrophil ratio, and routine blood tests on preoperative and postoperative days 3, 5, and 7, from these patients. These data were statistically analyzed to determine which laboratory markers were statistically significant. The diagnostic value and optimal diagnostic threshold of these laboratory markers were further determined by receiver operating characteristic curve analysis. RESULTS: A total of 106 patients were enrolled in this study, of whom 8 patients were diagnosed with early SSI. A total of 4 laboratory markers were screened, namely, CRP on postoperative day 7 (optimal diagnostic threshold of ≥64.1 mg/L, sensitivity of 100%, specificity of 76.5%, area under the curve (AUC) of 0.908), PCT on postoperative day 7 (optimal diagnostic threshold of ≥0.2 ng/mL, sensitivity of 87.5%, specificity of 94.1%, AUC of 0.967), lymphocyte count on postoperative day 5 (optimal diagnostic threshold of ≤0.67 × 10⁹/L, sensitivity of 50%, specificity of 95.9%, AUC of 0.760), and lymphocyte count on postoperative day 7 (optimal diagnostic threshold of ≤1.32 × 10⁹/L, sensitivity of 87.5%, specificity of 55.1%, AUC of 0.721). CONCLUSION We concluded that CRP and PCT levels on postoperative day 7 and lymphocyte counts on postoperative days 5 and 7 are useful markers in screening for early spinal SSI.
Humans ; Retrospective Studies ; Male ; Female ; Biomarkers/blood* ; Middle Aged ; C-Reactive Protein/analysis* ; Surgical Wound Infection/blood* ; Procalcitonin/blood* ; Adult ; Aged ; Postoperative Period ; ROC Curve ; Predictive Value of Tests ; Spine/surgery*

BACKGROUND: Chronic kidney disease (CKD) poses a major global health challenge, often foreshadowing poor patient outcomes. The C-reactive protein to albumin ratio (CAR) serves as a pivotal biomarker, demonstrating a strong correlation with adverse outcomes in cardiovascular disease (CVD). This study sought to examine the correlation between CAR and the risk of all-cause and cardiovascular mortality in patients with CKD stages 3-5. METHODS: This study utilized data of CKD patients from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2010, with follow-up to December 31, 2019. The optimal CAR cutoff value was identified utilizing the method of maximally selected rank statistics. Multivariable Cox proportional hazards regression model, restricted cubic splines (RCS) model, and subgroup analysis were employed to assess the association between CAR and mortality among CKD patients. RESULTS: During a median (with interquartile range) follow-up period of 115 (112,117) months among 2,841 CKD individuals, 1,893 deaths were observed, including 692 deaths due to CVD events. Based on the RCS analysis, a non-linear correlation was observed between CAR and mortality. Using 0.3 as the optimal CAR cutoff value, the cohort was divided into high and low groups. In the fully adjusted model, CKD patients with high CAR values exhibited an elevated risk of all-cause mortality (hazard ratio [HR] 1.53, 95% confidence interval [CI] 1.28-1.83, P < 0.001) and cardiovascular mortality (HR 1.48, 95% CI 1.08-2.02, P = 0.014). Compared to the population aged >65 years (HR 1.32, 95% CI 0.99-1.76, P = 0.064), the risk of cardiovascular mortality was significantly higher in those aged ≤65 years (HR 2.19, 95% CI 1.18-4.09, P = 0.014) with elevated CAR levels. CONCLUSIONS A notable correlation exists between the elevation of CAR and increased all-cause and cardiovascular mortality, suggesting its potential as an independent indicator for evaluating the prognosis of patients with CKD stages 3-5.
Humans ; Renal Insufficiency, Chronic/epidemiology* ; Cardiovascular Diseases/blood* ; Male ; Female ; Middle Aged ; C-Reactive Protein/metabolism* ; Aged ; Biomarkers/blood* ; Nutrition Surveys ; Adult ; United States/epidemiology* ; Serum Albumin/analysis*

OBJECTIVES: Hypertriglyceridemic acute pancreatitis (HTG-AP) has a rapid onset and is associated with a high risk of progression and recurrence. Early identification of patients at risk of severe disease can help reduce the likelihood of multiple organ failure and mortality. This study aims to investigate the changes in inflammatory composite markers and D-dimer (D-D) levels in young and middle-aged/elderly patients with HTG-AP and to evaluate their predictive value for disease progression. METHODS: A total of 230 patients with HTG-AP admitted to Chongqing University Jiangjin Hospital (Jiangjin Central Hospital) between 2017 and 2023 were retrospectively enrolled. Patients were first divided into a young group (≤45 years) and a middle-aged/elderly group (>45 years), and then stratified into mild and severe groups based on disease severity. Inflammatory composite markers, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), C-reactive protein-to-lymphocyte ratio (CLR), systemic inflammation response index (SIRI), systemic immune inflammation index (SII), as well as D-D levels, were compared among groups. Least absolute shrinkage and selection operator (LASSO) regression and Logistic regression were used to identify independent risk factors for disease progression in each age group. Receiver operating characteristic (ROC) curves and the DeLong test were used to assess and compare the predictive performance (area under the curve, AUC) of risk factors. Internal validation was performed using the bootstrap method (n=1 000). RESULTS: No significant differences in NLR, PLR, MLR, SIRI, SII, CLR, or D-D levels were observed between the young (n=127) and middle-aged/elderly (n=103) groups (all P>0.05). Among young patients, the severe group (n=59) had significantly higher NLR, SIRI, SII, CLR, and D-D levels compared to the mild group (n=68) (all P<0.05). Among middle-aged/elderly patients, CLR and D-D levels were significantly higher in the severe group (n=49) than in the mild group (n=54) (P<0.05). LASSO and Logistic regression analyses identified elevated D-D as an independent risk factor for disease progression in young patients (P=0.007, OR=1.458, 95% CI 1.107 to 1.920), while both D-D (P=0.001, OR=2.267, 95% CI 1.413 to 3.637) and CLR (P=0.003, OR=1.007, 95% CI 1.003 to 1.012) were independent risk factors in middle-aged/elderly patients. ROC analysis showed that D-D predicted disease progression in young and middle-aged/elderly patients with AUCs of 0.653 and 0.741, sensitivities of 67.8% and 57.1%, and specificities of 72.1% and 88.9%, respectively. CLR predicted progression in middle-aged/elderly patients with an AUC of 0.687, sensitivity of 63.3%, and specificity of 70.4%. DeLong test showed no significant difference in AUC between D-D and CLR for middle-aged/elderly patients (Z=0.993, P=0.321). Internal validation via bootstrap analysis yielded a D-D AUC of 0.732, with sensitivity and specificity of 68.1% and 91.0%, respectively. CONCLUSIONS Differences in inflammatory response and coagulation function exist across age groups and disease severities in HTG-AP patients. Elevated D-D is an independent predictor of disease progression in both young and middle-aged/elderly patients, while CLR also predicts progression in the latter group. D-D, in particular, demonstrates strong predictive value for severe disease in middle-aged/elderly patients with HTG-AP.
Humans ; Fibrin Fibrinogen Degradation Products/metabolism* ; Disease Progression ; Middle Aged ; Pancreatitis/etiology* ; Male ; Female ; Retrospective Studies ; Adult ; Biomarkers/blood* ; Hypertriglyceridemia/blood* ; Acute Disease ; Predictive Value of Tests ; Aged ; Inflammation ; C-Reactive Protein/analysis* ; Neutrophils ; Age Factors

OBJECTIVE: To evaluate the predictive value of plasma heparin-binding protein (HBP) combined with albumin (Alb) for predicting 28-day mortality in patients with sepsis. METHODS: The clinical data of patients with sepsis admitted to the emergency intensive care unit (EICU) of the People's Hospital of Shenzhen Baoan District from March 2020 to March 2024 were retrospectively analyzed. The study began at the time of the first diagnosis of sepsis upon EICU admission and ended upon patient death or at 28 days. The gender, age, length of stay in EICU, underlying diseases, and infection sites were recorded. Within 24 hours of sepsis diagnosis, blood culture results, white blood cell count (WBC), C-reactive protein (CRP), procalcitonin (PCT), blood lactate acid (Lac), HBP, Alb, sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation II (APACHE II), mortality in emergency department sepsis score (MEDS), modified early warning score (MEWS), number of organ failures, use of vasopressors, application of mechanical ventilation, renal replacement therapy, and 28-day prognosis were recorded, the differences in these indicators between two groups were compared. Univariate and multivariate Logistic regression analyses were used to analyze the risk factors of 28-day mortality in patients with sepsis. Receiver operator characteristic curve (ROC curve) was drawn, and the area under the ROC curve (AUC) was calculated to evaluate the early predictive value of various risk factors for 28-day mortality in patients with sepsis. RESULTS: A total of 300 patients with sepsis were included, with 16 excluded, resulting in 284 patients being analyzed. Among them, 191 survived and 93 died within 28 days. There were no statistically significant differences between the two groups in terms of gender, age, underlying diseases, infection sites, blood culture positivity rate, number of organ failures, and length of stay in EICU. Univariate analysis showed that the rate of vasopressor use, the rate of mechanical ventilation, HBP, PCT, CRP, Lac, SOFA score, APACHE II score, MEDS score, and MEWS score were significantly higher in the death group than those in the survival group, while Alb was significantly lower in the death group than that in the survival group. Multivariate Logistic regression analysis showed that HBP and Alb were independent risk factors for predicting 28-day mortality in patients with sepsis [odds ratio (OR) and 95% confidence interval (95%CI) were 1.093 (0.989-1.128) and 1.174 (1.095-1.259), both P < 0.05]. ROC curve analysis showed that both HBP and Alb had certain predictive value for 28-day mortality in patients with sepsis [AUC and 95%CI were 0.820 (0.717-0.923) and 0.786 (0.682-0.890), both P < 0.05]. When the critical value of HBP was 117.50 μg/L, the sensitivity was 85.90%, and the specificity was 70.50%. When the critical value of Alb was 28.30 g/L, the sensitivity was 69.30%, and the specificity was 81.20%. When the two indexes were combined for diagnosis, the AUC was 0.881 (95%CI was 0.817-0.945, P < 0.001), the sensitivity was 92.70%, and the specificity was 76.80%. CONCLUSIONS HBP and Alb are independent risk factors for predicting 28-day mortality in patients with sepsis. The combined prediction efficiency of HBP and Alb for 28-day mortality in patients with sepsis is superior to a single indicator.
Humans ; Sepsis/diagnosis* ; Retrospective Studies ; Predictive Value of Tests ; Intensive Care Units ; Blood Proteins/analysis* ; Prognosis ; Antimicrobial Cationic Peptides/blood* ; APACHE ; Male ; Female ; Organ Dysfunction Scores ; ROC Curve ; Middle Aged ; C-Reactive Protein/analysis* ; Emergency Service, Hospital ; Aged ; Hospital Mortality ; Serum Albumin/analysis*

OBJECTIVE: To explore the quantitative analysis results of different patterns of chest computed tomography (CT) in patients with coronavirus infection and its relationship with viral load and pathophysiological status. METHODS: A retrospective clinical cohort study was conducted. Patients with coronavirus infection admitted to Qingdao Municipal Hospital from June 9 to 15, 2023 (all patients underwent chest CT examination within 24 hours after diagnosis) were enrolled. The patients were divided into coronavirus infection non-pneumonia group and coronavirus infection associated pneumonia group according to CT findings. Relevant baseline data, such as demographic characteristics, chest CT characteristics, and laboratory indicators within 12 hours before and after CT examination were collected from each group. Spearman correlation test was used to quantitatively analyze the correlation between CT features and laboratory indicators. The receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of each laboratory index for pneumonia in patients infected with coronavirus. Multiple linear regression analysis was used to explore the relationship between different CT patterns such as ground-glass opacity (GGO) and consolidation and ventilatory oxygenation status. RESULTS: A total of 171 patients were enrolled, including 44 patients in the coronavirus infection non-pneumonia group and 127 patients in the coronavirus infection associated pneumonia group (the incidence of pneumonia was 74.3%). Compared with patients with coronavirus infection alone, patients with coronavirus infection associated pneumonia had significantly lower lymphocyte count (LYM), oxygenation index (PaO₂/FiO₂), total lung capacity, GGO volume and GGO ratio, and significantly higher C-reactive protein (CRP), neutrophil/lymphocyte ratio (NLR), D-dimer, fraction of inspired oxygen (FiO₂) level, real volume variation and consolidation ratio, the differences were all statistically significant. There were no statistically significant differences in the nucleocapin protein (N) gene cycle threshold (Ct) value and open reading frame (ORF) gene Ct value between the two groups. ROC curve analysis showed that, after adjusting for age, gender, CRP level and other related factors, compared with N gene Ct value, ORF gene Ct value, N gene Ct value+LYM, ORF gene Ct value+LYM, the LYM had the most potential diagnosis power for coronavirus infection associated pneumonia. The area under the ROC curve (AUC) of LYM for predicting coronavirus infection was 0.703. When the cut-off value of LYM was 0.7×10⁹/L, the sensitivity was 55.5%, and the specificity was 79.5%, respectively. Multiple linear regression analysis showed that, when adjusted for consolidation ratio, age, gender, Hb and D-dimer levels, the GGO ratio in patients with coronavirus infection associated pneumonia was correlated with PaO₂/FiO₂ (β = -2.18, P < 0.001). When adjusted for GGO ratio, age, sex, Hb and D-dimer levels, the proportion of consolidation in patients with coronavirus infection associated pneumonia was correlated with PaCO₂ (β = 0.36, P = 0.004). When adjusted for GGO ratio, the proportion of consolidation in patients with coronavirus infection associated pneumonia was also associated with NLR (β = 0.79, P = 0.006). CONCLUSIONS LYM could be a potential marker for predicting coronavirus associated pneumonia, and the correlation seems to be independent of viral load. In addition, in the analysis of imaging features, GGO is associated with hypoxia, while consolidation is associated with PaCO₂ level and inflammation. The increased proportion of consolidation in the whole lung may be detrimental to lung ventilation.
Humans ; Tomography, X-Ray Computed/methods* ; Retrospective Studies ; COVID-19/diagnostic imaging* ; Viral Load ; Coronavirus Infections/diagnostic imaging* ; ROC Curve ; Male ; Lung/diagnostic imaging* ; Female ; Middle Aged ; C-Reactive Protein/analysis*

OBJECTIVE: The objective of this study was to investigate the clinical efficacy and safety of treating sepsis patients with Xuebijing injection (XBJI). METHODS: We conducted a retrospective analysis of 418 patients who experienced severe infections and were treated with XBJI from June 2018 to June 2021. Propensity score matching was used to match the patient cases. The study population included 209 pairs of cases (418 individuals), and the analysis included data from before and after a 14-day course of treatment with carbapenem alone, or carbapenem with XBJI. RESULTS: There were no significant differences in the 14-day mortality or length of hospital stay (P > 0.05) between the two groups. The combined treatment group had more patients with C-reactive protein that returned to normal levels (compared to baseline) than the non-combined treatment group (14.4% vs 8.1%; odds ratio [OR]: 0.528; 95% confidence interval [CI]: 0.282-0.991; P = 0.026). Similarly, the combined treatment group had higher procalcitonin attainment rate (55.0% vs 39.7%; OR: 0.513; 95% CI: 0.346-0.759; P = 0.001) than the non-combined treatment group. Further, more patients in the combined treatment group achieved normal creatinine levels than in the non-combined treatment group (64.1% vs 54.1%; OR: 0.659; 95% CI: 0.445-0.975; P = 0.037). CONCLUSION The combination of XBJI with carbapenem did not reduce the 14-day mortality rate of patients with severe infection, but it was able to reduce the level of inflammatory factors in patients with sepsis, and had a protective effect on liver and kidney function. Please cite this article as: Gong ZT, Yang HX, Zhu BB, Liu HH, Siri GL. Clinical efficacy of Xuebijing injection for the treatment of sepsis: A retrospective cohort study. J Integr Med. 2024; 22(6): 645-651.
Humans ; Drugs, Chinese Herbal/administration & dosage* ; Sepsis/mortality* ; Retrospective Studies ; Male ; Female ; Middle Aged ; Aged ; Treatment Outcome ; Anti-Bacterial Agents/administration & dosage* ; C-Reactive Protein/analysis* ; Carbapenems/therapeutic use* ; Length of Stay ; Injections ; Adult ; Drug Therapy, Combination ; Procalcitonin/blood*

This study aims to systematically review the efficacy and safety of different traditional Chinese medicine injections combined with conventional treatment for patients with post-acute myocardial infarction heart failure. The relevant randomized controlled trial(RCT) was retrieved from CNKI, Wanfang, VIP, SinoMed, PubMed, EMbase, and Cochrane Library with the time interval from inception to May 13, 2023. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Network Meta-analysis was then performed in RevMan 5.3 and Stata 15.1. A total of 68 RCTs involving 11 traditional Chinese medicine injections and 5 995 patients were included. The results were explained based on the surface under the cumulative ranking curve(SUCRA).(1) In terms of reducing major adverse cardiovascular event(MACE), the therapies followed the trend of Xinmailong Injection+conventional treatment(83.8%) > Yiqi Fumai Injection+conventional treatment(57.1%) > Xuebijing Injection+conventional treatment(56.6%) > Shenmai Injection+conventional treatment(53.1%) > Shenfu Injection+conventional treatment(45.3%) > conventional treatment(4.0%).(2) In terms of increasing left ventricular ejection fraction(LVEF), the therapies followed the trend of Yiqi Fumai Injection+conventional treatment(84.0%) > Shenmai Injection+conventional treatment(69.6%) > Shenfu Injection+conventional treatment(62.7%) > Xinmailong Injection+conventional treatment(61.6%) > Shuxuening Injection+conventional treatment(54.8%) > Shenqi Fuzheng Injection+conventional treatment(46.7%) > Shengmai Injection+conventional treatment(45.9%) > Breviscapine Injection+conventional treatment(39.9%) > Danhong Injection+conventional treatment(38.8%) > Huangqi Injection+conventional treatment(38.7%) > conventional treatment(7.3%).(3) In terms of reducing B-type natriuretic peptide(BNP), the therapies followed the trend of Xinmailong Injection+conventional treatment(98.6%) > Shenmai Injection+conventional treatment(57.7%) > Shenfu Injection+conventional treatment(52.5%) > Shengmai Injection+conventional treatment(30.1%) > conventional treatment(11.0%).(4) In terms of reducing cardiac troponin Ⅰ(cTnⅠ), the therapies followed the trend of Shenmai Injection+conventional treatment(92.3%) > Yiqi Fumai Injection+conventional treatment(61.5%) > Shenfu Injection+conventional treatment(51.2%) > Shengmai Injection+conventional treatment(48.1%) > Xinmailong Injection+conventional treatment(26.6%) > conventional treatment(20.3%).(5) In terms of reducing high-sensitivity C-reactive protein(hs-CRP), the therapies followed the trend of Shenmai Injection+conventional treatment(79.9%) > Xinmailong Injection+conventional treatment(68.1%) > Shenfu Injection+conventional treatment(63.1%) > Xuebijing Injection+conventional treatment(56.7%) > Shengmai Injection+conventional treatment(51.1%) > Shenqi Fuzheng Injection+conventional treatment(42.8%) > Huangqi Injection+conventional treatment(34.7%) > conventional treatment(3.5%).(6) A total of 22 RCTs reported the occurrence of adverse reactions, mainly involving the damage of the circulatory system, digestive system, and coagulation function. The current evidence suggested that Xinmailong Injection+conventional treatment may have the best therapeutic effect in reducing MACE and BNP; Yiqi Fumai Injection+conventional treatment may be the best in increasing LVEF; Shenmai Injection+conventional treatment may be the best in reducing cTnI and hs-CRP. The safety needs further quantitative research and analysis. However, more high-quality RCT is required to validate the above conclusions due to limitations in the quality and quantity of the included studies.
Humans ; Medicine, Chinese Traditional ; Stroke Volume ; Network Meta-Analysis ; C-Reactive Protein ; Ventricular Function, Left ; Drugs, Chinese Herbal/adverse effects* ; Myocardial Infarction/drug therapy* ; Heart Failure/drug therapy*

This study aimed to evaluate the efficacy and safety of various Chinese patent medicines in the treatment of inflammatory response in chronic glomerulonephritis(CGN) based on network Meta-analysis. Randomized controlled trial(RCT) of oral Chinese patent medicines for improving inflammatory response in patients with CGN was retrieved from databases such as CNKI, Wanfang, VIP, SinoMed, PubMed, Cochrane Library, EMbase, and Web of Science from database inception to March 2023. All investigators independently screened the literature, extracted data, and evaluated the quality. Stata 16.0 and RevMan 5.4.1 software were used to analyze the data of the literature that met the quality standards. Finally, 71 RCTs were included, involving 7 Chinese patent medicines. The total sample size was 6 880 cases, including 3 441 cases in the test group and 3 439 cases in the control group. The network Meta-analysis showed that(1) in terms of reducing TNF-α, the top 3 optimal interventions according to the surface under the cumulative ranking curve(SUCRA) were Shenyanshu Capsules/Granules/Tablets+conventional western medicine, Huangkui Capsules+conventional western medicine, and Bailing Capsules+conventional western medicine.(2) In terms of reducing hs-CRP, the top 3 optimal interventions according to SUCRA were Yishen Huashi Granules+conventional western medicine, Huangkui Capsules+conventional wes-tern medicine, and Bailing Capsules+conventional western medicine.(3) In terms of reducing IL-6, the top 3 optimal interventions according to SUCRA were Yishen Huashi Granules+conventional western medicine, Bailing Capsules+conventional western medicine, and Shenyan Kangfu Tablets+conventional western medicine.(4) In terms of reducing 24hUTP, the top 3 optimal interventions according to SUCRA were Shenyan Kangfu Tablets+conventional western medicine, Bailing Capsules+conventional western medicine, and Huangkui Capsules+conventional western medicine.(5) In terms of reducing Scr, the top 3 optimal interventions according to SUCRA were Bailing Capsules+conventional western medicine, Shenyanshu Capsules/Granules/Tablets+conventional western medicine, and Yishen Huashi Granules+conventional western medicine.(6) In terms of reducing BUN, the top 3 optimal interventions according to SUCRA were Yishen Huashi Granules+conventional western medicine, Shenyanshu Capsules/Granules/Tablets+conventional western medicine, and Bailing Capsules+conventional western medicine.(7) In terms of improving the clinical total effective rate, the top 3 optimal interventions according to SUCRA were Huangkui Capsules+conventional western medicine, Kunxian Capsules+conventional western medicine, and Yishen Huashi Granules+conventional western medicine. The results showed that the combination of conventional western medicine and Chinese patent medicine could reduce the expression of serum inflammatory factors TNF-α, hs-CRP, and IL-6 and inhibit the inflammatory response. The combination of conventional western medicine and Chinese patent medicine was superior to conventional western medicine alone in reducing Scr, BUN, and 24hUTP, and improving the clinical total effective rate of treatment. Due to the limitation of the quantity and quality of literature included, the above conclusions need to be validated by more high-quality studies.
Humans ; Tumor Necrosis Factor-alpha ; Network Meta-Analysis ; Nonprescription Drugs ; C-Reactive Protein ; Interleukin-6 ; Drugs, Chinese Herbal/therapeutic use* ; Glomerulonephritis/drug therapy*