1.Clinical characteristics and prognosis analysis of 108 cases of recurrent nasopharyngeal carcinoma from a single center.
Qing WANG ; Fusheng LIN ; Ran ZHANG ; Lin GAO ; Xingqian ZHAO ; Jie YANG ; Xiaojiang LI
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(8):743-748
Objective:Retrospective analysis of the correlation between clinicopathologic features and related indexes and prognosis in patients with recurrent nasopharyngeal carcinoma. Methods:One hundred and eight nasopharyngeal cancer(NPC) patients with post-treatment recurrence in Yunnan Cancer Hospital from January 2013 to January 2018 were collected, and the survival time was estimated by Kaplan-Meier method, and clinicopathological characteristics were analyzed by log-rank test; risk factors and prognosis were analyzed by Cox proportional risk model for single-factor and multifactorial analysis. A P-value <0.05 was considered statistically significant. Results:The median survival of all patients was 54 months, with a 3-year survival rate of 80.2% and a 5-year survival rate of 39.8%. The 5-year overall survival rate was 50.2% for patients >46 years old and 27.9% for patients ≤46 years old(P<0.05), a statistically significant difference. Univariate analysis showed that overall survival was associated with age, chemotherapy regimen, EBV early antigen IgA, plasma D-dimer, glycan antigen-125, γ-interferon, α-tumor necrosis factor, IL-10, and IL-4(P<0.05). Multifactorial analysis revealed that age, chemotherapy regimen, EBV early antigen IgA, plasma D-dimer, glycan antigen-125, and interleukin 10 were independent influences on the prognosis of recurrent nasopharyngeal carcinoma(P<0.05). Conclusion:Differences in chemotherapy regimens affect the prognosis of recurrent nasopharyngeal carcinoma. Elevated plasma D-dimer, glycan antigen 125, and interleukin 10 levels affect the overall survival of recurrent nasopharyngeal carcinoma, which may be a valid independent prognostic factor, and are expected to provide new biomarkers for nasopharyngeal carcinoma in the clinic.
Humans
;
Prognosis
;
Nasopharyngeal Neoplasms/mortality*
;
Nasopharyngeal Carcinoma
;
Retrospective Studies
;
Neoplasm Recurrence, Local
;
Male
;
Middle Aged
;
Female
;
Survival Rate
;
Adult
;
Risk Factors
;
Interleukin-10/blood*
;
Aged
;
Proportional Hazards Models
2.Results of active surveillance of clinical progression in low-risk papillary thyroid microcarcinoma: a single center prospective cohort study.
Xian YOU ; Dongyu LI ; Xiaoyan ZHANG ; Xinggen ZENG ; Cheng CHEN
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(9):836-841
Objective:To observe the clinical progression of low-risk papillary thyroid microcarcinoma(LR-PTMC), analyze the influencing factors of its oncological outcomes, and explore the feasibility of active surveillance(AS) of LR-PTMC. Methods:This study adopted a prospective observational research design. A total of 85 subjects diagnosed with LR-PTMC during health checkup in Health Management Center of our hospital from March 2021 to October 2022 were enrolled as the research subjects, for at least 2 years of AS follow-up observation. The clinical progress and oncological outcomes were recorded, disease progression was defined as any increase in nodule diameter ≥3 mm or the appearance of new lesions or lymph node metastasis or distant metastasis, and the oncological outcome was use disease progression defining. Cox proportional hazards regression model was used to analyze the influencing factors of oncological outcomes in LR-PTMC patients. Results:A total of 85 LR-PTMC patients who underwent physical examinations were included in this study. The median follow-up time was 2 years, and a total of 23 patients(27.06%) experienced disease progression. Among them, 18 patients(21.18%) had enlarged lesions(any nodule diameter increased by ≥3 mm), and 5 patients(5.88%) had abnormal or metastatic cervical lymph nodes. The 2-year cumulative disease progression rate was 9.41%. The incidence age of LR-PTMC patients was younger, with a higher proportion of ≤45 years old. The proportion of baseline nodules with a maximum diameter greater than 5 mm is higher, and the proportion of baseline TPO Ab positivity was higher. Ultrasound showed a higher proportion of microcalcifications compared to the non progression group, and the differences were statistically significant(all P<0.05). Multivariate Cox proportional hazards regression analysis showed that age of onset ≤45 years RR 95% CI 1.052(1.018-1.088) and ultrasound showing microcalcifications RR 95% CI 3.361(1.379-8.194) were independent risk factors affecting disease progression during AS in LR-PTMC patients(P<0.05). Conclusion:Most LR-PTMC patients maintain stable lesion size and low lymph node metastasis rate during the AS process, with good oncological outcomes in the short term. AS can be considered as a safe and effective alternative to surgical treatment for LR-PTMC patients. But for patients with onset age ≤45 years and microcalcifications, the follow-up interval can be shortened for close observation.
Humans
;
Thyroid Neoplasms/pathology*
;
Disease Progression
;
Prospective Studies
;
Carcinoma, Papillary/pathology*
;
Female
;
Male
;
Middle Aged
;
Adult
;
Watchful Waiting
;
Lymphatic Metastasis
;
Proportional Hazards Models
;
Risk Factors
3.COMPERA 2.0 risk stratification in patients with severe aortic stenosis: implication for group 2 pulmonary hypertension.
Zongye CAI ; Xinrui QI ; Dao ZHOU ; Hanyi DAI ; Abuduwufuer YIDILISI ; Ming ZHONG ; Lin DENG ; Yuchao GUO ; Jiaqi FAN ; Qifeng ZHU ; Yuxin HE ; Cheng LI ; Xianbao LIU ; Jian'an WANG
Journal of Zhejiang University. Science. B 2025;26(11):1076-1085
COMPERA 2.0 risk stratification has been demonstrated to be useful in patients with precapillary pulmonary hypertension (PH). However, its suitability for patients at risk for post-capillary PH or PH associated with left heart disease (PH-LHD) is unclear. To investigate the use of COMPERA 2.0 in patients with severe aortic stenosis (SAS) undergoing transcatheter aortic valve replacement (TAVR), who are at risk for post-capillary PH, a total of 327 eligible SAS patients undergoing TAVR at our institution between September 2015 and November 2020 were included in the study. Patients were classified into four strata before and after TAVR using the COMPERA 2.0 risk score. The primary endpoint was all-cause mortality. Survival analysis was performed using Kaplan-Meier curves, log-rank test, and Cox proportional hazards regression model. The study cohort had a median (interquartile range) age of 76 (70‒80) years and a pulmonary arterial systolic pressure of 33 (27‒43) mmHg (1 mmHg=0.133 kPa) before TAVR. The overall mortality was 11.9% during 26 (15‒47) months of follow-up. Before TAVR, cumulative mortality was higher with an increase in the risk stratum level (log-rank, both P<0.001); each increase in the risk stratum level resulted in an increased risk of death (hazard ratio (HR) 2.53, 95% confidential interval (CI) 1.54‒4.18, P<0.001), which was independent of age, sex, estimated glomerular filtration rate (eGFR), hemoglobin, albumin, and valve type (HR 1.76, 95% CI 1.01‒3.07, P=0.047). Similar results were observed at 30 d after TAVR. COMPERA 2.0 can serve as a useful tool for risk stratification in patients with SAS undergoing TAVR, indicating its potential application in the management of PH-LHD. Further validation is needed in patients with confirmed post-capillary PH by right heart catheterization.
Humans
;
Aortic Valve Stenosis/complications*
;
Aged
;
Hypertension, Pulmonary/mortality*
;
Male
;
Female
;
Transcatheter Aortic Valve Replacement
;
Aged, 80 and over
;
Risk Assessment/methods*
;
Proportional Hazards Models
;
Kaplan-Meier Estimate
;
Retrospective Studies
4.An atrial fibrillation prediction model based on quantitative features of electrocardiogram during sinus rhythm in the Chinese population.
Xiaoqing ZHU ; Yajun SHI ; Juan SHEN ; Qingsong WANG ; Tingting SONG ; Jiancheng XIU ; Tao CHEN ; Jun GUO
Journal of Southern Medical University 2025;45(2):223-228
OBJECTIVES:
To develop an early atrial fibrillation (AF) risk prediction model based on large-scale electrocardiogram (ECG) data from the Chinese population.
METHODS:
The data of multiple ECG records of 30 383 patients admitted in the Chinese PLA General Hospital between 2009 and 2023 were randomly divided into the training set and the internal testing set in a 7:3 ratio. The predictive factors were selected based on the training set using univariate analysis, LASSO regression, and the Boruta algorithm. Cox proportional hazards regression was used to establish the ECG model and the composite model incorporating age, gender, and ECG model score. The discrimination power, calibration, and clinical net benefits of the models were evaluated using the area under the receiver operating characteristic curve (AUROC), calibration curves, and decision curves.
RESULTS:
The cohort included 51.1% male patients with a median age of the patients of 51 (36, 62) years and an AF incidence of 4.5% (1370/30 383). In the ECG model, the parameters related to the P wave and QRS complex were identified as significant predictors. In the testing set, the AUROC of the ECG model for predicting 5-year AF risk was 0.77 (95% CI: 0.74-0.80), which was increased to 0.81 (95% CI: 0.78-0.83) after incorporating age and gender, with a net reclassification improvement of 0.123 and an integrated discrimination improvement of 0.04 (P<0.05). The calibration curve of the model was close to the diagonal line. Decision curve analysis showed that the clinical net benefit of the composite model was higher than that of the ECG model across the majority of threshold probability.
CONCLUSIONS
The composite model incorporating quantitative ECG features during sinus rhythm, along with age and gender, can effectively predict AF risk in the Chinese population, thus providing a low-cost screening tool for early AF risk assessment and management.
Humans
;
Atrial Fibrillation/epidemiology*
;
Electrocardiography
;
Middle Aged
;
Male
;
Female
;
China/epidemiology*
;
Proportional Hazards Models
;
Adult
;
Risk Factors
;
Risk Assessment
;
East Asian People
5.Particulate matter exposure and end-stage renal disease risk in IgA nephropathy.
Yilin CHEN ; Huan ZHOU ; Siqing WANG ; Lingqiu DONG ; Yi TANG ; Wei QIN
Frontiers of Medicine 2025;19(5):855-864
Long-term exposure to particulate matter has been increasingly implicated in the progression of chronic kidney disease (CKD). However, its impact on IgA nephropathy (IgAN), a leading cause of end-stage renal disease (ESRD), remains unclear. A total of 1768 IgAN patients, confirmed by renal biopsy were included in this cohort study. Long-term exposure to PM2.5 and PM10 was assessed using high-resolution satellite-based data from the China High Air Pollutants (CHAP) dataset. Cox proportional hazards models were used to estimate the associations between PM2.5 or PM10 and ESRD risk, adjusting for demographic, clinical, and biochemical covariates. Over a median follow-up of 3.63 years, 209 participants progressed to ESRD. Higher exposure to both PM2.5 and PM10 was significantly associated with an increased risk, with hazard ratios of 1.62 and 1.36 per 10 µg/m3 increase, respectively. A nonlinear dose-response relationship was observed, with risk increasing markedly beyond threshold levels. Trajectory modeling of prebaseline exposure identified a subgroup with persistently high and fluctuating particulate matter exposure that showed the highest risk. This study provides strong evidence that prolonged exposure to ambient particulate matter contributes to renal disease progression in individuals with IgAN.
Humans
;
Glomerulonephritis, IGA/pathology*
;
Particulate Matter/adverse effects*
;
Male
;
Female
;
Kidney Failure, Chronic/epidemiology*
;
Adult
;
China/epidemiology*
;
Disease Progression
;
Environmental Exposure/adverse effects*
;
Middle Aged
;
Proportional Hazards Models
;
Risk Factors
;
Air Pollutants/adverse effects*
;
Cohort Studies
6.Association between albumin treatment and the prognosis of acute kidney injury patients: a retrospective study based on the MIMIC-IV database.
Xinyuan ZHANG ; Yan ZHUANG ; Linfeng DAI ; Haidong ZHANG ; Qiuhua CHEN ; Qingfang NIE
Chinese Critical Care Medicine 2025;37(3):280-286
OBJECTIVE:
To assess the impact of albumin (Alb) administration on the prognosis of patients with acute kidney injury (AKI).
METHODS:
Clinical data of AKI patients in the intensive care unit (ICU) were retrospectively analyzed from the American Medical Information Mart of Intensive Care-IV (MIMIC-IV), including demographic data, acute physiology score (APS), comorbidities, vital signs, laboratory indicators, treatment status, ICU length of stay, and outcome indicators. The main outcome measure is ICU mortality. AKI patients were divided into Alb infusion group and Alb non infusion group based on whether they received Alb treatment. Multiple imputation was used to process missing data and eliminate variables that missing more than 30%. To ensure the stability of the results, propensity score matching (PSM) and inverse probability weighting (IPW) were used to correct the results. Using Kaplan-Meier survival curve and Cox proportional hazards regression model to evaluate the effect of Alb infusion on ICU survival rate in AKI patients. Perform subgroup analysis based on patient age, gender, and comorbidities to evaluate the prognostic effects of Alb on different patient subgroups.
RESULTS:
A total of 6 390 AKI patients were included, including 1 721 in the Alb infusion group and 4 669 in the Alb non infusion group. After adjusting for key covariates in the Cox regression model, compared with the Alb non infusion group, patients in the Alb infusion group were significantly younger in age, with APS III score, proportion of vasoactive drugs and continuous renal replacement therapy (CRRT) use, sepsis proportion, heart rate, respiratory frequency, aspartate aminotransferase (AST), alanine aminotransferase (ALT), creatinine (Cr), lactic acid (Lac), and arterial partial pressure of carbon dioxide (PaCO2) levels significantly higher. The proportion of hypertension, myocardial infarction, and congestive heart failure, as well as blood pressure, urine output, platelet count (PLT), and Alb levels were significantly lower. The results of univariate and multivariate Cox regression analysis on the raw data showed that the risk of death in the Alb infusion group was significantly lower than that in the Alb non infusion group [hazard ratio (HR) = 0.69, 95% confidence interval (95%CI) was 0.60-0.80, all P < 0.05]. The results after propensity score matching (PSM) and inverse probability weighting (IPW) processing are consistent with the original data trend (both P < 0.05). The Kaplan-Meier survival curve showed that the cumulative survival rate during ICU stay in the Alb infusion group was significantly higher than that in the Alb non infusion group (24.48% vs. 12.17%, Log-Rank test: χ2 = 74.26, P < 0.05). Subgroup analysis shows that Alb infusion has a more significant survival benefit for AKI patients who use vasoactive drugs, have concurrent sepsis, and do not have liver disease.
CONCLUSION
Albumin infusion can decrease the ICU mortality of AKI patients.
Humans
;
Retrospective Studies
;
Acute Kidney Injury/mortality*
;
Prognosis
;
Male
;
Female
;
Middle Aged
;
Aged
;
Intensive Care Units
;
Albumins/therapeutic use*
;
Proportional Hazards Models
;
Adult
;
Databases, Factual
7.Impact of early antimicrobial therapy on clinical outcomes in patients with suspected sepsis in emergency and outpatient settings: a prospective cohort study.
Xianxian XU ; Hongqing SHEN ; Weimin ZHU ; Ping LI ; Peng YANG ; Renfei SHAN ; Nanjin CHEN ; Yongpo JIANG
Chinese Critical Care Medicine 2025;37(4):337-342
OBJECTIVE:
To investigate the impact of early antimicrobial therapy on the prognosis of patients with suspected sepsis in emergency and outpatient settings.
METHODS:
A prospective cohort study was conducted. Patients with suspected sepsis admitted to the emergency department of Taizhou Hospital, Zhejiang Province, from May 1, 2022, to July 31, 2023, were enrolled. Participants were divided into an early group (0-1 hour) and a delayed group (> 1 hour) according to duration from admission to antimicrobial administration. General information, initial vital signs, laboratory parameters within 24 hours after admission, disease severity scores, vasoactive drug usage, and clinical outcomes of the patient were collected. Kaplan-Meier survival curve was used to analyze 28-day survival. Multivariate Cox proportional hazards regression was performed to identify independent risk factors for prognosis of the patients with suspected sepsis in emergency and outpatient settings. Sensitivity analyses were conducted through subgroup analyses.
RESULTS:
A total of 143 patients with suspected sepsis were enrolled in the analysis, with 66 patients in the early group and 77 in the delayed group. No statistically significant differences were observed in baseline characteristics (age, gender, vital signs, laboratory parameters, disease severity scores) or clinical outcomes [vasoactive drug usage rate, mechanical ventilation duration, length of intensive care unit (ICU) stay, total hospitalization duration] between the two groups. The 28-day mortality, multidrug resistance rate and sepsis confirmation rate did not differ significantly between the early group and delay group [28-day mortality: 18.2% (12/66) vs. 20.8% (16/77), multidrug resistance rate: 3.0% (2/66) vs. 2.6% (2/77), sepsis confirmation rate: 87.9% (58/66) vs. 88.3% (68/77), all P > 0.05]. Kaplan-Meier survival curve analysis showed no difference in 28-day cumulative survival between the two groups (Log-Rank test: χ2 = 2.528, P = 0.112). Multivariate Cox proportional hazards regression identified vasoactive drug usage [hazard ration (HR) = 2.465, 95% confidence interval (95%CI) was 1.019-5.961, P = 0.045] and endotracheal intubation (HR = 5.516, 95%CI was 2.195-13.858, P < 0.001) as independent risk factors for 28-day death of the patients with suspected sepsis in emergency and outpatient settings. Further exploration of the impact of early antimicrobial therapy on 28-day death in different subgroups of the patients with suspected sepsis in emergency and outpatient settings was conducted through subgroup analysis. The results showed that in the patients with different ages (< 60 years old: HR = 1.214, 95%CI was 0.535-2.751, P = 0.643; ≥ 60 years old: HR = 2.085, 95%CI was 0.233-18.668, P = 0.511), sequential organ failure assessment (SOFA) scores (< 6: HR = 1.411, 95%CI was 0.482-4.128, P = 0.530; ≥ 6: HR = 0.869, 95%CI was 0.292-2.587, P = 0.801), shock indexes (< 1: HR = 1.095, 95%CI was 0.390-3.077, P = 0.863; ≥ 1: HR = 1.364, 95%CI was 0.458-4.059, P = 0.577) and whether diagnosed with sepsis or not (yes: HR = 0.943, 95%CI was 0.059-15.091, P = 0.967; no: HR = 1.207, 95%CI was 0.554-2.628, P = 0.636) subgroups, early usage of antibiotics had not shown any advantage in improving prognosis compared with delayed usage.
CONCLUSION
Early antimicrobial therapy does not improve the prognosis of patients with suspected sepsis in emergency and outpatient settings.
Humans
;
Sepsis/drug therapy*
;
Prospective Studies
;
Prognosis
;
Emergency Service, Hospital
;
Outpatients
;
Female
;
Male
;
Anti-Infective Agents/therapeutic use*
;
Middle Aged
;
Aged
;
Proportional Hazards Models
;
Treatment Outcome
8.Impact of mean perfusion pressure on the risk of sepsis-associated acute kidney injury.
Linshan YANG ; Wei ZHOU ; Shuyue SHENG ; Guoliang FAN ; Shaolin MA ; Feng ZHU
Chinese Critical Care Medicine 2025;37(4):367-373
OBJECTIVE:
To investigate the relationship between mean perfusion pressure (MPP) and the risk of sepsis-associated acute kidney injury (SA-AKI) and its prognosis, and to determine the optimal cut-off value of MPP for predicting SA-AKI.
METHODS:
A retrospective cohort study was conducted. The clinical data of adult patients with sepsis were collected from the Medical Information Mart for Intensive Care-IV 2.2 (MIMIC-IV 2.2) database. The patients were divided into two groups based on the occurrence of SA-AKI. Baseline characteristics, vital signs, comorbidities, laboratory indicators within 24 hours of intensive care unit (ICU) admission, and clinical outcome indicators were collected. Mean MPP was calculated using the average values of mean arterial pressure (MAP) and central venous pressure (CVP), MPP = MAP-CVP. Cox regression models were constructed, relevant confounding factors were adjusted, and multivariate Logistic regression analysis was used to investigate the associations between MPP and the risk of SA-AKI as well as ICU death. The predictive value of MPP for SA-AKI was evaluated using receiver operator characteristic curve (ROC curve) analysis, and the optimal cut-off value was determined.
RESULTS:
A total of 6 009 patients were ultimately enrolled in the analysis. Among them, SA-AKI occurred in 4 755 patients (79.13%), while 1 254 patients (20.87%) did not develop SA-AKI. Compared with the non-SA-AKI group, the MPP in the SA-AKI group was significantly lowered [mmHg (1 mmHg≈0.133 kPa): 62.00 (57.00, 68.00) vs. 65.00 (60.00, 70.00), P < 0.01], and the ICU mortality was significantly increased [11.82% (562/4 755) vs. 1.59% (20/1 254), P < 0.01]. Three Cox regression models were constructed: model 1 was unadjusted; model 2 was adjusted for gender, age, height, weight and race; model 3 was adjusted for gender, age, height, weight, race, heart rate, respiratory rate, body temperature, hemoglobin, platelet count, white blood cell count, anion gap, HCO3-, blood urea nitrogen, serum creatinine, Cl-, Na+, K+, fibrinogen, international normalized ratio, blood lactic acid, pH value, arterial partial pressure of oxygen, arterial partial pressure of carbon dioxide, sequential organ failure assessment score, Charlson comorbidity index score, use of vasopressors, mechanical ventilation, and urine output. Multivariate Logistic regression analysis showed that when MPP was treated as a continuous variable, there was a negative correlation between MPP and the risk of SA-AKI in model 1 and model 2 [model 1: odds ratio (OR) = 0.967, 95% confidence interval (95%CI) was 0.961-0.974, P < 0.001; model 2: OR = 0.981, 95%CI was 0.974-0.988, P < 0.001], and also a negative correlation between MPP and the risk of ICU death (model 1: OR = 0.955, 95%CI was 0.945-0.965, P < 0.001; model 2: OR = 0.956, 95%CI was 0.946-0.966, P < 0.001). However, in model 3, there was no significant correlation between MPP and either SA-AKI risk or ICU death risk. when MPP was used as a multi-categorical variable, in model 1 and model 2, referring to MPP ≤ 58 mmHg, when 59 mmHg ≤ MPP ≤ 68 mmHg, as MPP increased, the risk of SA-AKI progressively decreased (OR value was 0.411-0.638, all P < 0.001), and the risk of ICU death also gradually decreased (OR value was 0.334-0.477, all P < 0.001). ROC curve showed that MPP had a certain predictive value for SA-AKI occurrence [area under the ROC curve (AUC) = 0.598, 95%CI was 0.404-0.746], and the optimal cut-off value was 60.5 mmHg.
CONCLUSION
MPP was significantly associated with the risk of SA-AKI, with an optimal cut-off value of 60.5 mmHg, and also demonstrated a significant correlation with the risk of ICU death.
Humans
;
Acute Kidney Injury/physiopathology*
;
Retrospective Studies
;
Sepsis/physiopathology*
;
Middle Aged
;
Prognosis
;
Male
;
Female
;
Aged
;
Risk Factors
;
Intensive Care Units
;
Adult
;
Logistic Models
;
Proportional Hazards Models
9.Epidemiology and prognostic risk factors of sepsis in Xinjiang Uygur Autonomous Region: a multicenter prospective cross-sectional survey.
Wenzhe LI ; Yi WANG ; Jingyan WANG ; Husitar GULIBANUMU ; Xiang LI ; Li ZHANG ; Zhengkai WANG ; Ruifeng CHAI ; Xiangyou YU
Chinese Critical Care Medicine 2025;37(7):664-670
OBJECTIVE:
To investigate the incidence of sepsis in Xinjiang Uygur Autonomous Region and the compliance with sepsis diagnosis and treatment guidelines in intensive care unit (ICU) at different levels of hospitals, and to identify the risk factors associated with poor prognosis in patients with sepsis in this region.
METHODS:
A prospective cross-sectional survey was conducted in ICU of Xinjiang Uygur Autonomous Region Critical Care Medicine Alliance. The survey period was from 10:00 on January 31, 2024, to 09:59 on February 1, 2024. The patients diagnosed with sepsis admitted to the ICU during the study period were included in the analysis. Data on patient demographics, physiology, microbiology, and treatment protocols were collected, with follow-up until the 28th day after ICU admission or death. Baseline characteristics and treatment information of septic patients across different hospital levels were compared, as well as clinical data of septic patients with different 28-day outcomes. Multivariate Cox proportional hazards model was used to identify risk factors for 28-day death in septic patients.
RESULTS:
A total of 77 units of Xinjiang Uygur Autonomous Region Critical Care Medicine Alliance from 14 prefectures/cities in Xinjiang participated in the survey. On the survey day, 727 patients were admitted to ICU, of whom 179 (24.6%) were diagnosed with sepsis, and 64 (35.8%) died within 28 days, 115 (64.2%) survived. Among the participating institutions, 33 were tertiary hospitals (42.9%), managing 97 septic cases (54.2%), and 44 were secondary hospitals (57.1%), managing 82 septic cases (45.8%). The lactic acid monitoring rate and continuous renal replacement therapy (CRRT) rate for septic patients in tertiary hospitals were significantly higher than those in secondary hospitals [lactic acid monitoring rate: 92.8% (90/97) vs. 82.9% (68/82), CRRT rate: 17.5% (17/97) vs. 3.7% (3/82), both P < 0.05]. No statistically significant differences were observed between tertiary and secondary hospitals in length of ICU stay or 28-day mortality [length of ICU stay (days): 11.0 (16.0) vs. 10.0 (22.0), 28-day mortality: 35.1% (34/97) vs. 36.6% (30/82), both P > 0.05]. Compared with survivors, non-survivors had higher acute physiology and chronic health evaluation II (APACHE II) score, sequential organ failure assessment (SOFA) score, Charlson comorbidity index (CCI) score and lower Glasgow coma scale (GCS) score. Significant differences were noted in vital signs [heart rate, blood pressure, body temperature, pulse oxygen saturation (SpO2)], laboratory markers [red blood cell count (RBC), white blood cell count (WBC), lymphocyte ratio (LYM%), blood urea nitrogen (BUN), total protein (TP), albumin (Alb), pH value, base excess (BE)], and monitoring, diagnosis and treatment information (invasive blood pressure monitoring, mechanical ventilation, CRRT, usage of norepinephrine). Multivariate Cox proportional hazards model indicated that body temperature [hazard ratio (HR) = 1.416, 95% confidence interval (95%CI) was 1.022-1.961, P = 0.037] and WBC (HR = 1.040, 95%CI was 1.010-1.071, P = 0.009) were independent risk factors for 28-day death in patients with sepsis.
CONCLUSIONS
Sepsis in Xinjiang Uygur Autonomous Region is characterized by a high mortality. In this region, tertiary hospitals demonstrate better compliance with bundled treatment strategies such as lactic acid monitoring and the usage of CRRT compared to secondary hospitals, yet they do not show significant advantages in clinical outcomes. Body temperature and WBC are independent risk factors for 28-day death in patients with sepsis in this region. However, clinicians should still consider the actual situation of patients, along with more optimal early warning indicators and comprehensive system assessments, to identify and prevent risk factors for adverse outcomes in patients.
Humans
;
Sepsis/diagnosis*
;
Cross-Sectional Studies
;
Prospective Studies
;
Risk Factors
;
Intensive Care Units
;
Prognosis
;
China/epidemiology*
;
Male
;
Female
;
Middle Aged
;
Aged
;
Proportional Hazards Models
;
Incidence
10.Correlation between albumin combined with diuretic therapy and mortality risk in septic patients with pre-existing congestive heart failure.
Qiaoman HUANG ; Zhiye ZOU ; Yixu LIN ; Ruiping DONG ; Yanran CHEN ; Shuiqing GUI
Chinese Critical Care Medicine 2025;37(10):901-908
OBJECTIVE:
To explore the correlation between albumin (Alb) combined with diuretic treatment and the mortality risk of septic patients with pre-existing congestive heart failure based on the United States Critical Care Medical Information Database-IV (MIMIC-IV), and to conduct the external validation.
METHODS:
A retrospective cohort study was conducted. The clinical data of septic patients with pre-existing congestive heart failure admitted to the intensive care unit (ICU) from 2008 to 2019 in the MIMIC-IV 2.0 were extracted, including demographic characteristics, comorbidities, laboratory indicators on the first day of ICU admission, severity of illness, treatment measures, etc. For external validation, clinical data were collected from septic patients with pre-existing congestive heart failure admitted to the ICU of the Second People's Hospital of Shenzhen from October 2022 to December 2023. The patients were divided into Alb alone group and Alb combined with diuretic group. The ICU mortality was defined as the primary outcome event, and the 30-day and 60-day mortality were defined as the secondary outcomes. Multivariate Cox proportional hazard regression analysis was conducted to investigate the relationship between Alb combined with diuretic treatment and the mortality risk of ICU and 30 days in septic patients with pre-existing congestive heart failure, and subgroup analysis was performed. Kaplan-Meier survival curve was plotted to compared the 60-day cumulative survival rate between the Alb alone group and Alb combined with diuretic group.
RESULTS:
(1) Analysis results of data from MIMIC-IV: a total 1 754 patients were enrolled, of which 378 in the Alb alone group, and 1 376 in the Alb combined with diuretic group. Compared with the Alb alone group, the patients in the Alb combined with diuretic group had significantly lower ICU, 30-day, and 60-day mortality [ICU mortality: 19.11% (263/1 376) vs. 30.42% (115/378), 30-day mortality: 18.90% (260/1 376) vs. 32.54% (123/378), 60-day mortality: 24.49% (337/1 376) vs. 39.15% (148/378), all P < 0.05]. Based on the multivariate Cox proportional hazard regression adjusted models considering demographic characteristics, comorbidities, laboratory indicators, severity of illness, and treatment measures, it was shown that the use of Alb combined with diuretic was significantly associated with a reduced risk death of ICU and 30 days [ICU mortality risk: hazard ratio (HR) = 0.597, 95% confidence interval (95%CI) was 0.460-0.774, P < 0.001; 30-day mortality risk: HR = 0.557, 95%CI was 0.433-0.716, P < 0.001]. Subgroup analysis revealed that after adjusting for variables, regardless of gender, age, and whether or not patients had comorbidities such as hypertension, diabetes, severe liver disease, acute renal insufficiency, and sequential organ failure assessment (SOFA) score, the ICU mortality risk was significantly reduced in patients treated with Alb combined with diuretic (all HR < 1, P < 0.05), with no interaction observed (all P > 0.05). Kaplan-Meier survival curve showed the 60-day cumulative survival rate of patients in the Alb combined with diuretic group was significantly higher than that in the Alb alone group (Log-rank test: χ 2 = 49.62, P < 0.05). (2) External validation: a total of 385 patients were enrolled, of which 144 in the Alb alone group, and 241 in the Alb combined with diuretic group. Compared with the Alb alone group, the patients of the Alb combined with diuretic group had significantly lower ICU, 30-day, and 60-day mortality [ICU mortality: 19.92% (48/241) vs. 31.25% (45/144), 30-day mortality: 19.09% (46/241) vs. 28.47% (41/144), 60-day mortality: 24.07% (58/241) vs. 34.03% (49/144), all P < 0.05]. The results of multivariate Cox proportional hazard regression analysis, subgroup analysis, and Kaplan-Meier survival curve analysis were consistent with the data analysis of the MIMIC-IV database.
CONCLUSIONS
Combination therapy of Alb and diuretic was associated with reduced mortality risk in septic patients with pre-existing congestive heart failure.
Humans
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Heart Failure/mortality*
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Retrospective Studies
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Sepsis/drug therapy*
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Intensive Care Units
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Diuretics/therapeutic use*
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Male
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Female
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Aged
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Middle Aged
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Proportional Hazards Models
;
Hospital Mortality

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