BACKGROUND: As an essential part of health services, rehabilitation is of great significance to improve the health and quality of life of the whole population. Accelerating aging calls for a significant expansion of rehabilitation services in China, but rehabilitation needs remain unclear. We conducted the study to explore the rehabilitation needs in China and project the trend of rehabilitation needs from 2020 to 2034. METHODS: The data of health conditions that might potentially benefit from rehabilitation were obtained from Global Burden of Disease (GBD) study. Estimated annual percentage changes (EAPCs) were calculated to quantify the trends of the age-standardized rates. Projections of rehabilitation needs were made until 2034 using Bayesian age-period-cohort analysis (BAPC). RESULTS: Approximately 460 million persons (33.3% of the total population) need rehabilitation in China, contributing to 63 million years lived with disabilities (YLDs) in 2019. The number of prevalent cases that need rehabilitation increased from around 268 (95% uncertainty interval [UI]: 257-282) million in 1990 to almost 460 (95% UI: 443-479) million in 2019, representing an increase of 71.3%. The highest contribution to the need for rehabilitation was musculoskeletal disorders with about 322 (95% UI: 302-343) million persons in seven aggregate disease and injury categories, and hearing loss with over 95 (95% UI: 84-107) million people among 25 health conditions. Based on the projection results, there will be almost 636 million people (45% of the total population) needing rehabilitation services in China by 2034, representing an increase of 38.3%. The rehabilitation needs of neoplasms, cardiovascular diseases, and neurological disorders are expected to increase significantly from 2019 to 2034, with increases of 102.3%, 88.8% and 73.2%, respectively. CONCLUSIONS The need for rehabilitation in China substantially increased over the last 30 years. It is predicted that over two in five people will require rehabilitation by 2034, thus suggesting the need to develop rehabilitation services that meet individuals' rehabilitation needs.
Humans ; China/epidemiology* ; Global Burden of Disease ; Female ; Male ; Musculoskeletal Diseases/epidemiology* ; Rehabilitation/trends* ; Quality of Life ; Middle Aged ; Aged ; Bayes Theorem

Recently, photodynamic therapy (PDT) has gained considerable attention as a promising therapeutic approach for the treatment of psoriasis. Unfortunately, the activation of high mobility group box 1 protein (HMGB1) by PDT triggers innate and adaptive immune responses, which exacerbate skin inflammation. Herein, we combined glycyrrhizic acid (GA), a natural anti-inflammatory compound and immunomodulator derived from the herb Glycyrrhiza uralensis Fisch., with PDT actuated by the photosensitizer chlorin e6 (Ce6) by co-loading them in GA-based lipid nanoparticles coated with a catechol-modified quaternary chitosan salt (GC NPs/QCS-C). GC NPs/QCS-C exhibited high drug loading efficacy, uniform size distribution, an ideal topical adhesive property, enhanced skin retention and penetration in psoriasis-like lesions, and high intracellular uptake in epidermal cells compared with the counterparts. Subsequently, the transdermal administration of GC NPs/QCS-C followed by near-infrared laser radiation in an imiquimod-induced psoriasis-like mouse model significantly ameliorated psoriasis symptoms, promoted the apoptosis of hyperproliferative epidermal cells, and alleviated the inflammatory cascade. The significant therapeutic outcomes of GC NPs/QCS-C were attributed to the synergistic effects of GA and PDT on modulating immune cell recruitment and inhibiting dendritic cell maturation. Our results demonstrated that the topical bio-adhesive nanosystem that combines GA and Ce6 offers a synergistic chemo-phototherapeutic strategy for psoriasis treatment.

Objective To investigate air radioactivity contamination, surface contamination, ambient dose equivalent rates, and radiation doses to individuals in the treatment room during ¹⁷⁷Lu-DOTATATE therapy. Methods A ward for ¹⁷⁷Lu-DOTATATE therapy was selected in the nuclear medicine department of a general hospital. Air and surface radioactivity samples were collected before and after therapy for four patients. Ambient dose equivalent rates were measured around the four patients following the initiation of ¹⁷⁷Lu-DOTATATE therapy. Measurements were taken at distances of 0.1, 0.3, 0.5, and 1−4 m (with 0.5 m intervals) from the right lateral midsection of the patient’s torso. The measurement time points included 5, 15, and 30 min after initiation of administration, as well as 0−4 h (with 1 h intervals), 24 h, and 48 h post-administration. Radiation exposure doses for personnel at different distances from the patients were calculated for each time interval. Results The results of radioactive aerosol detection for all four patients during and after the administration of ¹⁷⁷Lu-DOTATATE were similar to those before administration. Surface contamination was not detected at the measurement locations except for patient number 2. The ambient dose equivalent rates increased with increasing injection dose during the administration. However, the ambient dose equivalent rates decreased significantly within one hour after administration. At the end of the administration, the average ambient dose equivalent rate at a distance of one meter for the four patients was 42.931 μSv/h. From the start of administration to four hours post-administration, personnel maintaining a distance of one meter from the patient received a total radiation dose of 167.64 μSv. Conclusion Air radioactivity contamination does not occur during ¹⁷⁷Lu-DOTATATE therapy. However, measures should be taken before the commencement of therapy to address potential surface contamination. Both accompanying persons and healthcare staff receive radiation doses below the stipulated dose constraints throughout the treatment process. Therefore, it is necessary to implement appropriate measures to minimize the radiation exposure of healthcare staff.

Objective To investigate air radioactivity contamination, surface contamination, ambient dose equivalent rates, and radiation doses to individuals in the treatment room during ¹⁷⁷Lu-DOTATATE therapy. Methods A ward for ¹⁷⁷Lu-DOTATATE therapy was selected in the nuclear medicine department of a general hospital. Air and surface radioactivity samples were collected before and after therapy for four patients. Ambient dose equivalent rates were measured around the four patients following the initiation of ¹⁷⁷Lu-DOTATATE therapy. Measurements were taken at distances of 0.1, 0.3, 0.5, and 1−4 m (with 0.5 m intervals) from the right lateral midsection of the patient’s torso. The measurement time points included 5, 15, and 30 min after initiation of administration, as well as 0−4 h (with 1 h intervals), 24 h, and 48 h post-administration. Radiation exposure doses for personnel at different distances from the patients were calculated for each time interval. Results The results of radioactive aerosol detection for all four patients during and after the administration of ¹⁷⁷Lu-DOTATATE were similar to those before administration. Surface contamination was not detected at the measurement locations except for patient number 2. The ambient dose equivalent rates increased with increasing injection dose during the administration. However, the ambient dose equivalent rates decreased significantly within one hour after administration. At the end of the administration, the average ambient dose equivalent rate at a distance of one meter for the four patients was 42.931 μSv/h. From the start of administration to four hours post-administration, personnel maintaining a distance of one meter from the patient received a total radiation dose of 167.64 μSv. Conclusion Air radioactivity contamination does not occur during ¹⁷⁷Lu-DOTATATE therapy. However, measures should be taken before the commencement of therapy to address potential surface contamination. Both accompanying persons and healthcare staff receive radiation doses below the stipulated dose constraints throughout the treatment process. Therefore, it is necessary to implement appropriate measures to minimize the radiation exposure of healthcare staff.

Objective:To investigate the anatomic classification and reconstruction of right intrahepatic bile duct in the donor liver of split liver transplantation (SLT).Methods:The retrospective and descriptive study was constructed. The clinical data of 85 patients who underwent SLT in the Third Affiliated Hospital of Sun Yat-sen University from July 2014 to January 2022 were collected. There were 65 males and 20 females, aged 45(range, 1-82)years. Observation indicators: (1) surgical conditions; (2) anatomy of right intrahepatic bile duct; (3) bile duct reconstruction; (4) postoperative biliary complications; (5) follow-up. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range) or M( Q1, Q3).Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test or Fisher exact probability. Results:(1) Surgical conditions. Of the 85 donor livers, 11 donor livers were split between the left and right hemilivers, and 74 donor livers were split between the classic right trilobe and left lateral lobe. The cold ischemia time of 85 donor livers was 291(273, 354)minutes, and the operation time, anhepatic phase time and volume of intraoperative blood transfusion of 85 recipients were (497±97)minutes, 51(40, 80)minutes and 8(7, 12)U. (2) Anatomy of right intrahepatic bile duct. Of the 85 donor livers, there were 47 donor livers with classic bile duct anatomical model (type 1), of the ratio as 55.3%(47/85), and 38 donor livers with anatomical variants, of the ratio as 44.7%(38/85). Of the 38 donor livers with anatomical variants, 7 donor livers were type 2, 16 donor livers were type 3a, 2 donor livers were type 3b, 2 donor livers were type 3c, 1 donor liver was type 4, 3 donor livers were type 5a, 4 donor livers were type 5b, 3 donor livers were type 6. For bile duct splitting patterns of the 85 donor livers, 84 donor livers were split with the main trunk of common hepatic duct preserving in the right hemiliver or right trilobe, and 1 donor liver were treated with complete left and right hemiliver splitting to preserve the main trunk of the common hepatic duct in the left hemiliver and the right hemiliver in the right hepatic duct (type 1 bile duct anatomical model). There were 84 donor livers with only one bile duct opening, and 1 donor liver with two bile duct openings (type 3c bile duct anatomical model). (3) Bile duct reconstruction. Of the 85 recipients, there were 69 recipients with common bile duct end-to-end anastomosis to common bile duct of donor liver (38 donor livers with type 1 bile duct anatomical model, 5 donor livers with type 2 bile duct anatomical model, 14 donor livers with type 3a bile duct anatomical model, 2 donor livers with type 3b bile duct anatomical model, 1 donor liver with type 4 bile duct anatomical model, 3 donor livers with type 5a bile duct anatomical model, 4 donor livers with type 5b bile duct anatomical model, 2 donor livers with type 6 bile duct anatomical model), 11 recipients with jejunum anastomosis to common bile duct of donor liver (7 donor livers with type 1 bile duct anatomical model, 2 donor livers with type 2 bile duct anatomical model, 1 donor liver with type 3c bile duct anatomical model, 1 donor liver with type 6 bile duct anatomical model), 3 recipients with jejunum anastomosis to common hepatic duct of donor liver (1 donor liver with type 1 bile duct anatomical model, 2 donor livers with type 3a bile duct anatomical model), 1 recipient with jejunum anastomosis to right hepatic duct of donor liver (type 1 bile duct anatomical model), 1 recipient with common hepatic duct end-to-end anastomosis to right posterior branch of donor liver combined with jejunum of the recipient Roux-en-y anastomosis to common hepatic duct of donor liver (type 3c bile duct anatomical model). (4) Postoperative biliary complications. Of the 85 recipients, 6 cases had postoperative biliary complications, with an incidence of 7.1% (6/85). Of the 6 recipients with postoperative biliary complications, there were 5 recipients with donor liver with type 1 bile duct anatomical model, including 3 cases undergoing postoperative biliary stricture with biliary leakage and 2 cases undergoing postoperative biliary anastomotic stricture, 1 recipient with donor liver with type 3b bile duct anatomical model and undergoing postoperative biliary anastomotic stricture and bile leakage in the liver section. Cases with biliary complications were 5 in the 47 recipients with donor liver with classic bile duct anatomical model and 1 in the 38 recipients with donor liver with anato-mical variants, showing no significant difference between them ( P>0.05). (5) Follow-up. There were 83 recipients receiving followed up for 52(12,96)months. During the follow-up period, 2 recipients died due to non-biliary complication factors (1 donor liver with type 1 bile duct anatomical model and 1 donor liver with 3a bile duct anatomical model). Conclusion:The anatomical classification of right intrahepatic bile duct of donor liver in SLT is mainly classical bile duct anatomical model, and the bile duct reconstruction scheme is mainly common bile duct of donor liver end-to-end anasto-mosis to common bile duct of recipient.

In August 2023， the European Society for Organ Transplantation （ESOT） published the ESOT Consensus Statement on Biomarkers in Liver Transplantation online. The consensus statement focuses on biomarkers in liver transplantation， clinical applicability， and future needs and explores the role of new biomarkers in predicting liver transplantation outcomes by reviewing the literature on primary disease recurrence， development of chronic kidney disease （CKD）， and safe weaning of immunosuppression. This consensus statement conducts studies from the four aspects of recurrent liver disease after liver transplantation， recurrent hepatocellular carcinoma， weaning of immunosuppression， and CKD progression， emphasizes the importance of biomarkers in predicting or detecting disease recurrence， and proposes that large-scale prospective studies are still needed to improve the quality of evidence. The author’s team gives an excerpt of the consensus statement and systematically introduces the four aspects of the consensus statement and related discussions and conclusions， in order to provide more evidence-based medical evidence for identifying and exploring new biomarkers for liver transplantation.

Objective:To evaluate the quality level of early pregnancy serum screening in China.Methods:Information on the coefficient of variation, bias, quality control (QC) rules, and testing methods from 576 laboratories participating in the 2022 early pregnancy serum screening inter-laboratory proficiency testing program by the National Health Commission Clinical Laboratory Center was collected. Serological screening indicators included free human chorionic gonadotropin β subunit (β-hCG), total β-hCG, and pregnancy-associated plasma protein A (PAPP-A). Six Sigma (σ) management was used to assess the quality level of the laboratories and the rationality of QC rules.Wilcoxon test was used to evaluate whether different testing time and methods affected the Sigma level.Results:A total of 119 laboratories tested total β-hCG, 457 laboratories tested free β-hCG, and 565 laboratories tested PAPP-A. Seventeen laboratories tested only one marker, 553 laboratories tested two markers, and six laboratories tested three markers. There was no statistically significant difference in sigma levels for the same analyte tested in May and September. The proportion of free β-hCG reaching 6σ was the highest at 71.9% (567/788); although total β-hCG had the lowest proportion reaching 6σ at 53.4% (103/193), it also had the lowest proportion below 3σ at 3.1% (6/193). Early pregnancy serum prenatal screening mainly involved five reagents and primarily used chemiluminescence and time-resolved fluorescence methods (free β-hCG was only tested using chemiluminescence). Laboratories using time-resolved fluorescence had overall higher sigma levels [total β-hCG: 9.56 (7.01-13.22) vs. 5.84 (4.36-9.12), W=53 114.00; PAPP-A: 9.04 (6.40-12.62) vs. 5.71 (4.22-8.15), W=75 752.00; both P<0.001] compared to those using chemiluminescence. The proportion of QC rules conforming to Westgard sigma rules ranged from 16.1% (31/193) to 19.6% (166/846). Among them, the proportion of laboratories with overly lenient QC rules was 24.8% (210/846) to 32.1% (62/193), and the proportion with overly strict QC rules was 51.8% (100/193) to 55.6% (470/846). Conclusion:The overall QC level of prenatal screening laboratories in China is fine, but there is still room for improvement in the setting of QC rules.

Objective:To screen the characteristic gut microbiota and fecal metabolites related to the efficacy of oxaliplatin-based neoadjuvant chemotherapy in patients with colorectal cancer liver metastasis, to analyze the relationship between gut microbiota and fecal metabolites, and to evaluate the predictive value of relevant markers for the efficacy of neoadjuvant chemotherapy in patients with colorectal cancer liver metastasis.Methods:This is a case-control study, 34 patients with colorectal cancer liver metastasis who were treated in Qilu Hospital of Shandong University from October 2021 to July 2022 were selected as the research objects, and were divided into chemotherapy effective group (20 cases) and chemotherapy ineffective group (14 cases) according to the efficacy evaluation criteria. Logistic regression was used to construct a prediction model to screen the microbiota and metabolic markers capable of predicting the effect of chemotherapy, and the receiver operating characteristic (ROC) curve and survival analysis curve were plotted to evaluate the predictive effect of related microbiota and metabolites on the efficacy of neoadjuvant chemotherapy.Results:There was no significant difference in the α and β diversity of gut microbiota between the patients in the chemotherapy effective group and in the ineffective group (all P>0.05). In terms of species, the relative abundance of 5 species was up-regulated and 10 species were down-regulated in the chemotherapy-effective group compared with the chemotherapy-ineffective group, and the difference was statistically significant (all P<0.05), among which Prevotella salivae could effectively predict the chemotherapy effect (AUC=0.750, P=0.007), with a sensitivity of 80.0% and a specificity of 71.4%. The overall survival of patients with high abundance (17 cases) was lower than that of patients with low abundance (17 cases) ( χ 2=5.239, P=0.022). In terms of metabolites, 20 metabolites were up-regulated and 4 metabolites were down-regulated in the chemotherapy-effective group compared with the chemotherapy-ineffective group, and the difference was statistically significant (all P<0.05), among which threonine and prostaglandin F2α-1-ethanolamide could distinguish between patients who responded to chemotherapy and those who did not respond to chemotherapy (AUC=0.743, 0.707, all P<0.05), and the overall survival of patients with high levels of relative abundance (17 cases) was higher than that of patients with low levels (17 cases) ( χ 2=4.748, 5.407, all P<0.05). The Logistic regression model of Prevotella salivae and prostaglandin F2α-1-ethanolamide was obtained through screening analysis, and the ROC curve results showed that the model had a good predictive value (AUC=0.836, sensitivity: 90.0%, specificity: 78.6%), and the overall survival of patients with high predict probability (17 cases) predicted by the model was higher than that of patients with low predict probability (17 cases) ( χ 2=9.260, P=0.002). Conclusion:Prevotella salivae and prostaglandin F2α-1-ethanolamide can be used as predictive biomarkers of neoadjuvant chemotherapy for colorectal cancer liver metastasis, and the model has good clinical reference value for prognosis assessment of patients in this cohort.