ObjectivesTo compare the efficacy of acute physiology and chronic health evaluationⅡ (APACHEⅡ), national early warning score (NEWS), pulmonary embolism severity index (PESI) and Charlson comorbidity index (CCI) on pulmonary embolism (PE) prognosis.MethodsClinical data of patients with PE treated in The Second Xiangya Hospital of Central South University from 2010 to 2017 were retrospectively analyzed. They were divided into death group and survival group, and four clinical scores were calculated. The differences of risk factors between the two groups were compared. Logistic regression analysis was used to obtain the independent risk factors related to mortality. The ROC working curve was used to compare the capability of four clinical scores for PE mortality. SPSS 24.0 and Medcalc 18.2.1 software were used for statistical analysis. ResultsA total of 318 patients with PE were included, and the mortality rate was 13.2%. The APACHEⅡ, NEWS, PESI and CCI of the death group were higher than those of the survival group. There were significant differences between two groups (P<0.05). It was confirmed by logistic regression analysis that cerebrovascular disease, heart rate, leukocyte, troponin T, arterial partial pressure of oxygen, right ventricular dysfunction (RVD) were independent risk factors for 90-day mortality. The areas under the ROC curve of APACHEⅡ, CCI, PESI, NEWS were 0.886, 0.728, 0.715 and 0.731, respectively. The area under the ROC curve of APACHEⅡ was the largest, which was better than NEWS, CCI and PESI (P<0.05), and there was no significant difference among NEWS, CCI and PESI.ConclusionsAPACHEⅡ may be the best predictor of mortality in PE patients, which is superior to NEWS, CCI and PESI.
Objective To explore the potential categories and influencing factors of chronic comorbidity treatment burden in maintenance hemodialysis (MHD) patients. Methods Convenience sampling method was used to select MHD patients between April and May 2023 at Northern Jiangsu People’s Hospital and Jiangdu People’s Hospital as the research subjects. The general information questionnaire, Chronic Disease Comorbidity Treatment Burden Scale, and Health Literacy Scale for Chronic Disease Patients were used for the questionnaire survey. The latent class analysis was used to explore the classification of chronic comorbidity treatment burden in MHD patients, and the multi-class logistic regression analysis was used to explore the influencing factors of comorbidity treatment burden. Results A total of 450 survey questionnaires were distributed, and 406 valid questionnaires were collected, with an effective response rate of 90.22%. According to the latent class analysis results, the comorbidity treatment burden of MHD patients was divided into three potential categories. Among them, there were 26 cases in the low-burden group, 194 cases in the medium-burden group, and 186 cases in the high-burden group. The results of the ordered multi-class logistic regression analysis showed that patient age, educational level, dialysis age, number of comorbidities, and level of economic support were potential factors affecting the comorbidity treatment burden in MHD patients (P<0.05). Conclusions The comorbidity treatment burden of MHD patients can be divided into three potential categories. The age, educational level, dialysis age, number of comorbidities, and level of economic support of patients are potential factors affecting the comorbidity treatment burden in MHD patients.
Objective To investigate the effects of enhanced recovery after surgery (ERAS) on postoperative function and pain in total hip arthroplasty (THA) patients with high comorbidity. Methods Patients with THA who were admitted between January 2020 and January 2022 were selected as the study objects, and a total of 223 patients with high comorbidity met the selection criteria. Patients were randomly divided into two groups using the random envelope method. During perioperative period, 112 cases in the ERAS group were treated according to the ERAS protocol and 111 cases in the control group with the traditional protocol. There was no significant difference in gender, age, body mass index, Charlson comorbidity index, preoperative diagnosis, the type and number of the comorbidities, preoperative visual analogue scale (VAS) score between the two groups (P>0.05). However, the Harris score of ERAS group was significantly lower than that of control group before operation (P<0.05). Preoperative and postoperative hospital stays were recorded. The VAS score was used to evaluate the pain before operation, at 1 day after operation, at the leaving bed time, at the day after discharge, and at 2 weeks after operation. Harris score was used to evaluate hip function before operation and at 2 weeks, 1 month, 3 months, 6 months, and 12 months after operation. The incidence of complications, 30-day readmission rate, mortality rate, and patient’s satisfaction were recorded. Results The length of preoperative hospital stay in ERAS group was significantly shorter than that in control group (P<0.05). But there was no significant difference in the length of postoperative hospital stay between groups (P>0.05). All patients in the two groups were followed up 12 months. The VAS score in the two groups after operation was lower than that before operation, and showed a gradually trend with the extension of time, with significant differences between different time points (P<0.05). VAS scores of ERAS group were significantly lower than those of control group at different time points after operation (P<0.05). The postoperative Harris scores in both groups were higher than those before operation, and showed a gradually increasing trend with the extension of time, with significant differences between different time points (P<0.05). Harris scores of ERAS group at 2 weeks, 1 month, and 3 months after operation were significantly higher than those of control group (P<0.05). Complications occurred in 2 cases (1.79%) of the ERAS group and 6 cases (5.41%) of the control group, with no significant difference in incidence (P>0.05). In the control group, 1 case was readmitted within 30 days after operation, and 1 case died of severe pneumonia within 1 year of follow-up. There was no readmission or death in ERAS group, and there was no significant difference in the above indexes between the two groups (P>0.05). At last follow-up, the satisfaction rate of patients in ERAS group was slightly higher than that in control group, but the difference was not significant (P>0.05). Conclusion For THA patients with high comorbidity, ERAS protocol can shorten preoperative waiting time, better reduce pain, and improve hip function.
Objective To explore the predictive value of Charlson comorbidity index(CCI)in the prognosis of aged chronic obstructive pulmonary disease (COPD)patients. Methods A retrospective review was performed for 350 hospitalized aged COPD patients who admitted in Xuanwu Hospital of Capital Medical University from January 2010 to January 2015.The clinical data were recorded including age,body mass index (BMI),comorbidities (CCI score),FEV1%pred,the times of acute exacerbation of COPD a year before admission,and in-hospital mortality.The risk factors of acute exacerbation and in-hospital mortality were analyzed by multivariable logistic regression. Results There were 177 patients who had experienced acute exacerbation more than 2 times per year and 173 patients who had experienced acute exacerbation less than 2 times per year.Multivariable logistic regression analysis showed that CCI [OR=1.559,95% CI(1.309,1.856),P=0.000] and FEV1%pred [OR=0.979,95% CI(0.964,0.994),P=0.006] were the independent predictors for acute exacerbation of COPD.The in-hospital mortality rate was 10.3%(36/314). Multivariable logistic regression analysis showed that CCI [OR＝1.894,95% CI (1.422,2.523),P=0.000],age [OR=1.153,95% CI(1.063,1.251),P=0.001],FEV1%pred [OR=0.916,95% CI(0.878,0.955),P=0.000],BMI [OR=0.849,95% CI(0.749,0.962),P=0.011],acute exacerbation more than 2 times per year [OR=6.340,95% CI(1.469,27.366),P=0.013] were the independent predictors for mortality. Conclusion CCI is an independent risk factor associated with in-hospital mortality and acute exacerbation of COPD.
Objective To explore the relationship between the triglyceride glucose- body mass index (TyG-BMI) and hypertension, type 2 diabetes, as well as their comorbidity, aiming to provide a scientific basis for the early identification and precise prevention of these three diseases.Methods This research collected data from subjects in the China Health and Retirement Longitudinal Study (CHARLS) database. According to the quartiles of TyG BMI, the included subjects were divided into Q1 group, Q2 group, Q3 group, and Q4 group. Logistic regression was used to analyze the association between the TyG-BMI and the three diseases separately. Further, a restricted cubic spline model was employed to investigate the potential non-linear dose-response relationship between the TyG-BMI index and the three diseases. Subgroup analysis was conducted using interaction tests to investigate whether there was an interaction between TyG BMI and subgroup factors such as age and gender. Results A total of 4 847 participants were included. There were 1 212 cases in Q1 group, 1 212 cases in Q2 group, 1 211 cases in Q3 group, and 1 212 cases in Q4 group. The logistic regression results indicate that, after adjusting for all confounding factors, participants in the Q4 group have a higher risk of developing type 2 diabetes, hypertension, and comorbidity of hypertension and type 2 diabetes in Model 3 (P<0.05). The results from the restricted cubic spline model demonstrated a linear relationship between the TyG-BMI index and the risk of type 2 diabetes (P for non-linearity >0.05), while a non-linear relationship was observed with hypertension (P for non-linearity <0.05) and the comorbidity of hypertension and type 2 diabetes (P for non-linearity <0.05). Subgroup analysis using interaction tests showed that compared to the Q1 group, factors such as age, gender, smoking, alcohol consumption, and dyslipidemia in the Q2, Q3, and Q4 groups did not significantly alter the relationship between TyG-BMI and type 2 diabetes, hypertension, and their comorbidity. Overall, there was no significant interaction between TyG-BMI and factors like age, gender, smoking, alcohol consumption, and dyslipidemia (P for interaction >0.05). Conclusions In middle-aged and elderly populations, the higher the TyG-BMI, the greater the risk of hypertension, type 2 diabetes, and their comorbidity. The TyG-BMI could be considered an important indicator for the early identification of hypertension, type 2 diabetes, and their comorbidities.
ObjectiveTo observe the effect of comorbidity for patients with non-small cell lung cancer (NSCLC) on exercise tolerance and cardiopulmonary function. MethodsNSCLC patients who underwent cardiopulmonary exercise testing (CPET) before surgery were retrospectively included. According to the Charlson comorbidity index (CCI) score, patients were divided into two groups: a CCI≥3 group and a CCI＜3 group. The patients were matched with a ratio of 1 : 1 by propensity score matching according to the age, body mass index, sex, smoking history, exercise habits, pathological stage and type of surgery. After matching, CPET indexes were compared between the two groups to explore the differences in exercise tolerance and cardiopulmonary function. ResultsA total of 276 patients were included before matching. After matching, 56 patients were enrolled with 28 patients in each group, including 38 (67.9%) males and 18 (32.1%) females with an average age of (70.7±6.8) years. Compared with the CCI＜3 group, work rate at peak (WR peak), WR peak/predicted value (WR peak%), kilogram oxygen uptake at anaerobic threshold (VO2/kg AT), VO2/kg peak, VO2/kg peak%, peak carbon dioxide output, the minute ventilation to carbon dioxide production slope, O2 pulse peak and O2 pulse peak% of CCI≥3 group were statistically different (P＜0.05). Among them, the rate of postoperative pulmonary complication in the CCI≥3 group was higher than that in the CCI＜3 group (60.7% vs. 32.1%, P=0.032). ConclusionIn the NSCLC patients, exercise tolerance and cardiopulmonary function decreased in patients with CCI≥3 compared with those with CCI<3. CPET can provide an objective basis for risk assessment in patients with comorbidity scored by CCI for pulmonary resection.
ObjectiveTo explain surgical and medical comorbidities and preoperative physical status of colorectal cancer in detail as well as their tags and structures of Database from Colorectal Cancer (DACCA) in West China Hospital.MethodThe article was described in words.ResultsThe definition to the surgical comorbidities with its related content module, the medical comorbidity with its related content modules, and the preoperative physical status and characteristics of the DACCA in West China Hospital were given. The data label corresponding to each item in the database and the structured way needed for the big data application stage in detail were explained. And the error correction notes for all classification items were described.ConclusionsThrough the detailed description of the medical and surgical comorbidities and the preoperative physical status of DACCA in West China Hospital, it provides the standard and basis for the clinical application of DACCA in the future, and provides reference for other peers who wish to build a colorectal cancer database.
With the increasing burden of chronic diseases, the issue of comorbidities has become increasingly important. In practice, patients with comorbidity of chronic diseases struggle to access continuous and integrated healthcare experiences. This article introduces the construction of the referral management system for comorbidity of chronic diseases based on “internet plus” in West China Hospital of Sichuan University. By formulating a standardized and convenient referral process and using artificial intelligence to optimize the referral platform, it creates a referral system for comorbidity of chronic diseases suitable for the hospital’s clinical workflows, makes reasonable use of the resources of the return pool, and improves the referral efficiency. After the implementation of the comorbidity referral system, patient satisfaction has increased, providing new ideas and reference experience for the management of comorbidity of chronic diseases for other medical institutions.
Objective To investigate the relationship between age-adjusted Charlson comorbidity index (aCCI) and ischemic stroke in patients with ophthalmic artery occlusion (OAO) or retinal artery occlusion (RAO). MethodsA single center retrospective cohort study. Seventy-four patients with OAO or RAO diagnosed by ophthalmology examination in Shenzhen Second People's Hospital from June 2004 to December 2020 were included in the study. The baseline information of patients were collected and aCCI was used to score the patients’ comorbidity. The outcome was ischemic stroke. The median duration of follow-up was 1 796.5 days. According to the maximum likelihood ratio of the two-piecewise COX regression model and the recursive algorithm, the aCCI inflection point value was determined to be 6, and the patients were divided into low aCCI group (＜6 points) and high aCCI group (≥6 points). A Cox regression model was used to quantify the association between baseline aCCI and ischemic stroke. ResultsAmong the 74 patients, 53 were males and 21 were females, with the mean age of (55.22±14.18) (19-84) years. There were 9 patients of OAO and 65 patients of RAO. The aCCI value ranges from 1 to 10 points, with a median of 3 points. There were 63 patients (85.14%, 63/74) in the low aCCI group and 11 patients (14.86%, 11/74) in the high aCCI group. Since 2 patients could not determine the time from baseline to the occurrence of outcome events, 72 patients were included for Cox regression analysis. The results showed that 16 patients (22.22%, 16/72) had ischemic stroke in the future. The baseline aCCI in the low aCCI group was significantly associated with ischemic stroke [hazard ratio (HR)=1.76, 95% confidence interval (CI) 1.21-2.56, P=0.003], and for every 1 point increase in baseline aCCI, the risk of future ischemic stroke increased by 76% on average. The baseline aCCI in the high aCCI group had no significant correlation with the ischemic stroke (HR=0.66, 95%CI 0.33-1.33, P=0.247). ConclusionsaCCI score is an important prognostic information for patients with OAO or RAO. A higher baseline aCCI score predicts a higher risk of ischemic stroke, and the association has a saturation effect.
ObjectiveBased on the current version of Database from Colorectal Cancer (DACCA), we aimed to analyze the comorbidities and preoperative physical status of colorectal cancer patients.MethodsThe DACCA version selected for this data analysis was updated on May 9, 2019. The data items included: surgical comorbidities and classified by systems, surgical history, pelvic disease history, medical comorbidities, and some important subdivision types, infectious disease status, allergic history, nutrition risk screening 2002 (NRS2002) score, amount of weight loss after illness, anemia, low protein status, preoperative ascites status, preoperative pleural effusion status, immune system disease and immunocompromised status, and preoperative nutritional support. Characteristic analysis was performed on each selected data item.ResultsA total of 6 166 admitted data were filtered from the DACCA database. Among them, surgical comorbidities, surgical history, medical comorbidities, and allergy history had 6 166 admitted data, and weight loss had admitted 4 703. There were 2 923 (47.4%) with surgical comorbidities. According to the system, the most common one was digestive system (2 005, 68.6%), and the least one was skin tissue system (24, 0.8%). There were 4 361 (70.7%) patients without surgical history and 1 805 (29.3%) patients had surgical history. There were 2 397 (38.9%) patients without medical comorbidities and 3 769 (61.1%) had medical comorbidities, of which pneumonia/pulmonary infection/chronic bronchopneumonia/lung indeterminate nodules were the most common(2 330, 37.8%), the least was cerebral infarction (unspecified type, 63, 1.0%). There were 5 813 (94.3%) without allergy history and 353 (5.7%) had allergy history. According to the NRS2002 nutrition screening criteria, the scores ranged from 1 to 7 points, with an average of 1.22 points, which could be classified as non-nutrition risk (5 279, 85.6%, included 1 point of 4 310, 2 points of 969), nutritional risk (887, 14.4%, included 3 points of 415, 4 points of 358, 5 points of 100, 6 points of 12, and 7 points of 2), the result of linear regression analysis of NRS2002 scores with the trend of the year showed that: ŷ=0.000 2x–6.275 8, R2=0.716 2, P<0.001. A total of 2 840 (60.4%) had no weight loss while 1 863 (39.6%) had, and weight loss with the trend of year were analyzed by linear regression analysis: ŷ=0.000 2x–3.956, R2=0.685 7, P<0.001. The number of cases of other physical status and the proportion of valid data were anemia (1 194, 33.1%), preoperative ascites (1829, 51.7%), preoperative pleural effusion (171, 5.7%), hypoproteinemia (1 206, 33.6%), immune system disease and immunocompromised status (495, 56.6%), and nutritional support (824, 25.0%).ConclusionsThrough the analysis of the DACCA database, nearly 1/2 of colorectal cancer surgery patients have surgical comorbidities before surgery, more than 1/2 of the patients have medical comorbidities, and the types of diseases are various. Preoperative nutritional status in patients with colorectal cancer also shows certain characteristics, suggesting the state of preoperative risk. These data will provide a detailed big data basis for future preoperative risk assessment of colorectal cancer.