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 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.
ObjectiveTo understand the distribution of demographic sociological characteristics and co-morbidities among primiparous and multiparous pregnant women under the China's universal two-child policy, to provide baseline data for clinical high-risk management and medical resources allocation.MethodsWe included pregnant women from 24 hospitals in 16 provinces (municipality, autonomous region) of China and collected their demographic sociological characteristics and obstetrics information by questionnaires between September 19th, and November 20th, 2016. Then, we used descriptive analysis to present the distribution of demographic sociological characteristics and pregnancy co-morbidities among primiparous and multiparous women and compared differences between groups by t test or Chi-square test.ResultsAmong 12 403 investigated pregnant women, 8 268 (66.7%) were primiparous and 4 135 (33.3%) were multiparous, with highest proportion in East (931/2 008, 46.4%) and lowest in Northeast (385/2 179, 17.7%). Multiparous women, comparing to primiparous women, were more likely to be elderly than 35 years (accounting for 30.6% vs. 6.5%), lower educated with high school or below (29.7% vs. 16.9%), occupied in physical labor or unemployed (49.2% vs. 42.5%), non-local residents (12.7% vs. 10.5%), family annual income higher than 120 thousand yuan (41.3% vs. 33.3%), pre-pregnancy body mass index≥24 kg/m2 (13.6% vs. 9.9%), history of artificial abortions (44.9% vs. 24.0%), or pregnancies≥4 times (23.8% vs. 3.1%) and were less likely to receive assisted reproductive technology (2.3% vs. 4.7%). The most common co-morbidities were gynecology disease (5.5%), thyroid disease (5.4% in all women), blood system disease (5.0%), digestive system disease (4.2%) and hepatitis B infection (2.5%). Multiparous women, comparing to primiparous women, had higher proportions with blood system disease (5.7% vs. 4.7%), hepatitis B infection (3.1% vs. 2.2%) and chronic hypertension (0.6% vs. 0.2%), but lower proportions with thyroid diseases, polycystic ovary syndrome, and immune system diseases, whose distribution also showed regional differences.ConclusionThere existed distribution differences regarding demographic sociological characteristics and co-morbidities proportions between primiparous and multiparous women. Therefore, we should improve clinical risk management and medical resources allocation based on pregnant women’s baseline and gestational characteristics.
ObjectiveTo systematically evaluate the effect of repeated transcranial magnetic stimulation (rTMS) in treating epilepsy.MethodsThe randomized controlled trials (RCTs) of rTMS for epilepsy and related diseases were collected from PubMed, EMbase, Cochrane Library, CBM, CNKI, VIP, and Wanfang databases by computer. The retrieval time was from establishment to June 2019. Two researchers independently screened the literature, extracted the data and evaluated the deviation risks of the included studies. RevMan5.3 software was used for Meta analysis.ResultsA total of 21 RCTs were included, including 1 587 patients. The results showed that rTMS assisted antiepileptics drugs (AEDs) could improve the effective rate of epilepsy treatment [RR=1.28, 95% CI (1.19, 1.37)], significantly reduced HAMA, HAMD and NFDS scores in the treatment of patients with epilepsy combined with anxiety and depression [MD=?3.94, 95% CI (?4.25, ?3.63)], and improve DQ and GMFM-88 scores in children with cerebral palsy combined with epilepsy [MD=7.95, 95% CI (7.00, 8.90)]. In addition, using rTMS will not cause additional adverse reaction [peto OR=0.52, 95% CI (0.31, 0.84)].ConclusionsThe current evidence showed that rTMS combined AEDs can improve the efficient of AEDs therapy. When treat anxiety depression comorbidity, it can significantly reduce the anxiety depression score. In addition in children with cerebral palsy merger, it can improve muscle strength and development. And rTMS will not cause additional adverse reactions. Limited by the quantity and quality of the selected studies, the conclusions need to be verified by more high-quality studies.
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.
Recently, the National Cancer Center analyzed the disease burden and epidemiological trend of breast cancer based on the global population registration data, providing important reference for the prevention and control of breast cancer and health decision-making. Based on the current situation of prevention and control of breast cancer in China, this paper briefly interpreted the key points of the disease burden and trend of breast cancer.
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.
Comorbidity is a prominent public health problem in the elderly population. To carry out research on the comorbidity of the elderly is not only an important breakthrough to realize the national strategy of actively responding to the aging population, but also a vivid practice of earnestly implementing the "Healthy China" and other action programs. Based on the major public health issues of elderly comorbidity, this paper lists the main contents and methods of elderly comorbidity research from the perspective of secondary research and empirical research, and holds that this field contains both the profound thought of "holistic concept" and the advanced idea of "integrative medicine". At the same time, under the background of the new era, the gradual deepening of the research in this field may give birth to a brand-new discipline - geriatric comorbidity.
Objective To explore impact of climate change on aortic dissection and to put forward a new way about prediction and prevention of aortic dissection. Methods We retrospectively analyzed the characteristics of acute aortic dissection patients came from Hebei province in Fuwai Hospital between 2010 and 2016 year. Meanwhile, we collected monthly maximum temperature, minimum temperature, average temperature, average pressure, amount of rainfall, sunshine, humidity and other meteorological data. Generalized model was implied to explore climate change and the incidence of aortic dissection. Results A total of 1 121 acute aortic dissection patients from Hebei province were admitted in Fuwai Hospital during the period of 6 years. There were 774 patients were type A aortic dissection, and 347 patients were type B aortic dissection. The average age was 51.4±12.0 years. There were 873 males and 248 females. There were 889 (79.3%) patients with hypertension, 99 (8.83%) with Marfan syndrome. It was found that temperature, humidity and air pressure were all statistically significant for indication aortic dissection through single variable analysis (P<0.01). The temperature was only variable by one-way analysis of variance (P<0.01). The lowest temperature has the best predictive effect on the occurrence of aortic dissection. The relative risk was 1.02 with 95% confidence interval 1.02 to 1.03. Conclusion The change of climatic conditions can affect the occurrence of aortic dissection, and the lowest temperature is an important trigger factor for aortic dissection onset.
Recently, World Health Organization/International Agency for Research on Cancer (WHO/IARC) published the World Cancer Report 2020. This report described the cancer burden of the world, the risk factors of cancer, biological process in cancer development and the prevention strategies of cancer. Based on current status of China’s cancer burden and prevention strategies, this paper briefly interpreted the key points of cancer prevention and control in the report.