Objective:To evaluate the effect of hyperthermia on radiation pneumonitis (RP) in elderly patients with esophageal cancer undergoing intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 177 elderly esophageal cancer patients (aged ≥60 years) receiving IMRT in the First Affiliated Hospital of Soochow University and Yixing Cancer Hospital from August 1, 2017 to February 6, 2023 were retrospectively analyzed. Patients were divided into the hyperthermia and non-hyperthermia groups based on whether they received hyperthermia treatment. Patients in two groups received IMRT with 6 MV X-rays. Patients in the hyperthermia group underwent high-frequency hyperthermia within 1 h before radiation using the external thermotherapy device HG-2000Ⅲ (heating temperature: 41-43 ℃ for 40 min, twice a week). After adjusting for confounding factors between two groups using propensity score matching (PSM), the short-term effective rates between two groups were compared using Chi-square test. Univariate analysis and logistic multivariate analysis were employed to compare the incidence of RP between two groups. Results:After applying PSM, 42 pairs were successfully matched, and the baseline data and radiotherapy parameters showed no statistically significant differences between two groups (all P>0.05). The objective response rate (ORR) in the hyperthermia group was significantly higher than that in the non-hyperthermia group (83.3% vs. 64.3%, P=0.047). Univariate analysis revealed that the incidence of RP and symptomatic RP (≥ grade 2) in the hyperthermia group was significantly lower than that in the non-hyperthermia group (61.9% vs. 85.7%, P=0.013; 21.4% vs. 47.6%, P=0.012). Logistic multivariate analysis indicated that hyperthermia was an independent protective factor for symptomatic RP ( P=0.011). Conclusions:The incidence and severity of RP in elderly esophageal cancer patients receiving IMRT can be reduced by hyperthermia. Hyperthermia, as a clinically beneficial green treatment, improves efficacy and reduces toxicity for patients with esophageal cancer.

Objective:To analyze the clinical features of postpartum hepatitis flares in pregnant women with hepatitis B virus (HBV) infection.Methods:A retrospective study was conducted. Patients who met the enrollment criteria were included. Liver function and HBV virology tests were collected from pregnant women with chronic HBV infection at delivery, 6, 24, 36, and 48 weeks after delivery through the hospital information and test system. Additionally, antiviral therapy types and drug withdrawal times were collected. Statistical analysis was performed on all the resulting data.Results:A total of 533 pregnant women who met the inclusion criteria were included, with all patients aged (29.5±3.7) years old. A total of 408 cases received antiviral drugs during pregnancy to interrupt mother-to-child transmission. There was no significant difference in the levels of alanine aminotransferase (ALT, z ?=?-1.981, P ?=?0.048), aspartate aminotransferase (AST, z ?=?-3.956, P ?

In the field of healthcare service, it is crucial to optimize medical innovation services by combining the preferences of health service providers and demanders (i.e., stakeholders). The best-worst scaling (BWS) method is a recently developed stated preference method for assessing preferences with distinctive advantages. Nevertheless, there is a lack of a comprehensive introduction to stakeholder preference assessment using BWS, thus constraining its applications and promotion. This paper introduces the process of using BWS to assess service providers' preferences for the Shared Medical Appointment for diabetes (SMART), an integrated healthcare service of medicine and health management, in the hope of providing reference for researchers for promoting the use of BWS in implementation research.

  Objective  To establish a model that can predict the occurrence of acute kidney disease (AKD) in liver cirrhotic patients and evaluate its performance.  Methods  Liver cirrhotic patients who hospitalized in the department of gastroenterology of the First Hospital of Lanzhou University from January 2017 to January 2022 were retrospectively included. They were divided into AKD and non-AKD groups according to whether they were combined with AKD during hospitalization, and were randomized into training and validation sets in a 7∶3 ratio. The clinical data of patients in the two groups were collected, and LASSO regression and multifactorial Logistic regression were used to screen the influencing factors for the occurrence of AKD in patients with liver cirrhosis and to establish a prediction model. The model was then evaluated by using the receiver operating characteristic curve, the calibration curve and the clinical decision curve.  Results  A total of 796 cases of liver cirrhotic patients who met the inclusion and exclusion criteria were enrolled. Among them, 103 cases were in the AKD group and 693 cases were in the non-AKD group; 561 cases were in the training set and 235 cases were in the validation set. The results of LASSO regression and multifactorial Logistic regression showed that a history of diabetes (OR=2.922, 95% CI: 1.290-6.564, P=0.009), hepatic encephalopathy (OR=6.210, 95% CI: 2.278-17.479, P < 0.001), gastrointestinal bleeding (OR=2.501, 95% CI: 1.236-5.073, P=0.011), ascites (OR=3.219, 95% CI: 1.664-6.539, P < 0.001), male (OR=0.477, 95% CI: 0.254-0.879, P=0.019), hemoglobin (OR=0.987, 95% CI: 0.975-0.999, P=0.044), albumin (OR=0.952, 95% CI: 0.911-0.991, P=0.023), and prothrombin time (OR=0.865, 95% CI: 0.779-0.920, P < 0.001) were the independent influences on the occurrence of AKD in liver cirrhotic patients, and were used to construct a prediction model. The area under the curve of the model in the training set and validation set for predicting the occurrence of AKD in liver cirrhotic patients was 0.895 (95% CI: 0.865-0.925) and 0.869 (95% CI: 0.807-0.930), respectively. The calibration curves showed that the model had good fit and consistency and the clinical decision curves showed that the use of the model for predicting the risk of AKD could benefit liver cirrhotic patients overall.  Conclusions  A prediction model for the occurrence of AKD in liver cirrhotic patients was established based on eight influencing factors, including gender, history of diabetes, and hepatic encephalopathy. It was validated to have good discrimination, calibration, and clinical utility, and is expected to assist in the clinical early screening and identification of liver cirrhosis-associated AKD.

Gastric cancer is one of the most common malignant tumors in the world. Patients with gastric cancer are often treated by surgery, radiotherapy, chemotherapy or immunotherapy, but the clinical efficacy and prognosis are poor. As an important member of ADAMs family, a disintegrin and metalloprotease 17 (ADAM17) is significantly more highly expressed in gastric cancer than in adjacent tissues. It participates in the occurrence and development of gastric cancer by mediating EGFR, TNF-α, TGF-β/Smad, Notch and Wnt, FoxM1-ADAM17 and EGFR/ERK/SP1. The high expression of ADAM17 is also closely related to the poor prognosis of gastric cancer, suggesting that ADAM17 can be used as a biological index to predict the development and prognosis of gastric cancer and has great potential to become a new therapeutic target for gastric cancer. In this paper, the mechanism, treatment and prognosis of ADAM17 in the development of gastric cancer are reviewed, in order to provide new ideas for clinical diagnosis and treatment of gastric cancer.

Objective To explore the impact of non-pharmaceutical interventions(NPIs)on the prevalence of respiratory pathogens in adults,and to understand the scientific value and long-term effect of NPIs.Methods A retrospective study was conducted to collect the clinical data and laboratory examination data of adult patients with respiratory tract infection in West China Hospital,Sichuan University from 2017 to 2023,and the patho-gen,population,season and other aspects were analyzed in different periods.The analysis period included 2017 to 2019(before the implementation of NPIs),2020 to 2022(during the implementation of NPIs),and January to December 2023(after the implementation of NPIs).Results A total of 33 068 adult patients with respira-tory tract infection were included.The overall prevalence of 8 adult respiratory pathogens from 2017 to 2019(26.95％)was higher than that from 2020 to 2022(8.70％),and the difference was statistically significant(P＜0.05).There were significant differences in the prevalence of pathogens among different genders,ages and seasons in the first,middle and last three periods of NPIs implementation(P＜0.05).Before the imple-mentation of NPIs,the seasonal peak of respiratory prevalence appeared from January to March each year.With the implementation of NPIs,the seasonal peak of respiratory prevalence appeared from January to March 2020(10.09％),October to December 2021(9.32％),July to September 2022(15.23％),respectively.After the implementation of NPIs,the seasonal peak of respiratory prevalence appeared from October to December 2023(21.20％).Among the 8 pathogens,the change of prevalence of influenza A virus H1N1(2009)was the most obvious,and the prevalence was 17.42％,0.00％and 6.99％before,during and after the implementation of NPIs,respectively.Conclusion Due to the influence of NPIs and other factors,the epidemic characteristics of respiratory pathogens have changed from 2017 to 2023.Attention to the emerging characteristics of patho-gen prevalence is important for the prevention,diagnosis and control of respiratory infectious diseases during public health emergencies.

Objective:To synthesize the real experiences of medical staff's organizational silence behavior.Methods:A systematic search was conducted in databases including PubMed, Web of Science, Embase, Cochrane Library, CINAHL, EBSCO, ProQuest, China National Knowledge Infrastructure, Wanfang Data, VIP, and China Biology Medicine disc, collecting qualitative studies on medical staff's experiences related to organizational silence behavior. The search period covered the establishment of the databases until June 2024. The quality of the included studies was assessed using the Joanna Briggs Institute's qualitative research quality evaluation standards, and results were integrated using an aggregative synthesis approach.Results:A total of 10 studies were included, with 65 findings summarized into 11 new categories, which were further synthesized into four overarching conclusions: organizational silence is complex, with respect and concern coexisting, many factors contribute to organizational silence, medical staff experience negative emotions as a result of organizational silence, there is a desire for recognition and support.Conclusions:The experience of organizational silence behavior among medical staff is complex. Managers should focus on this issue, encourage individuals to voice their concerns, provide diverse support mechanisms, and enhance positive experiences to reduce the prevalence of organizational silence.

Periodontitis is the most widespread oral disease and is closely related to the oral microbiota. The oral microbiota is adversely affected by some pharmacologic treatments. Systemic antibiotics are widely used for infectious diseases but can lead to gut dysbiosis, causing negative effects on the human body. Whether systemic antibiotic-induced gut dysbiosis can affect the oral microbiota or even periodontitis has not yet been addressed. In this research, mice were exposed to drinking water containing a cocktail of four antibiotics to explore how systemic antibiotics affect microbiota pathogenicity and oral bone loss. The results demonstrated, for the first time, that gut dysbiosis caused by long-term use of antibiotics can disturb the oral microbiota and aggravate periodontitis. Moreover, the expression of cytokines related to Th17 was increased while transcription factors and cytokines related to Treg were decreased in the periodontal tissue. Fecal microbiota transplantation with normal mice feces restored the gut microbiota and barrier, decreased the pathogenicity of the oral microbiota, reversed the Th17/Treg imbalance in periodontal tissue, and alleviated alveolar bone loss. This study highlights the potential adverse effects of long-term systemic antibiotics-induced gut dysbiosis on the oral microbiota and periodontitis. A Th17/Treg imbalance might be related to this relationship. Importantly, these results reveal that the periodontal condition of patients should be assessed regularly when using systemic antibiotics in clinical practice.
Humans ; Mice ; Animals ; Dysbiosis ; Anti-Bacterial Agents/pharmacology* ; Virulence ; Microbiota ; Periodontitis/chemically induced* ; Cytokines

Objective:To explore any effects of combining virtual reality training with aromatherapy in caring for Alzheimer′s disease patients in a nursing home.Methods:Fifty nursing home residents with Alzheimer′s were divided at random into an observation group and a control group, each of 25. Both groups received routine rehabilitation, while the observation group was additionally given 45 minutes of virtual reality training combined with aromatherapy, 3 times a week for 6 months. Both groups′ cognition was then evaluated using the MMSE and an Alzheimer′s cognition assessment scale (ADAS-cog). Psycho-behavioral symptoms were quantified using the Alzheimer′s disease pathological behavior scale (BEHAVE-AD). Motor functioning was quantified using the timed up and go test (TUGT), the 30-second sit-to-stand test (30sCST), the 30-second arm curl test (30sACT) and the sit-and-reach test (CSRT). Ability in the activities of daily living (ADL) and life quality were quantified using the activity of daily living scale and of the quality of life scale for Alzheimer′s disease (QOL-AD) before and after the intervention.Results:After the intervention the average MMSE, ADAS-cog, BEHAVE-AD and ADL scores of both groups had improved significantly, with the average improvement in the observation group significantly greater than that in the control group. The TUGT, 30sCST, 30sACT and CSRT results of both groups were also significantly better, with those of the observation group again significantly superior, on average, to the control group′s results. The average QOL-AD score in the observation was significantly improved after the intervention, and was then significantly better than the control group′s average.Conclusions:Virtual reality training combined with aromatherapy can significantly improve the cognition, psycho-behavioral symptoms, activity in daily living, motor functioning and life quality of Alzheimer′s patients in a nursing home. It is worthy of promotion and application in nursing homes.

Herein, we designed a dual-response shape transformation and charge reversal strategy with chemo-photodynamic therapy to improve the blood circulation time, tumor penetration and retention, which finally enhanced the anti-tumor effect. In the system, hydrophobic photosensitizer chlorin e6 (Ce6), hydrophilic chemotherapeutic drug berberrubine (BBR) and matrix metalloproteinase-2 (MMP-2) response peptide (PLGVRKLVFF) were coupled by linkers to form a linear triblock molecule BBR-PLGVRKLVFF-Ce6 (BPC), which can self-assemble into nanoparticles. Then, positively charged BPC and polyethylene glycol-histidine (PEG-His) were mixed to form PEG-His@BPC with negative surface charge and long blood circulation time. Due to the acidic tumor microenvironment, the PEG shell was detached from PEG-His@BPC attributing to protonation of the histidine, which achieved charge reversal, size reduction and enhanced tumor penetration. At the same time, enzyme cutting site was exposed, and the spherical nanoparticles could transform into nanofibers following the enzymolysis by MMP-2, while BBR was released to kill tumors by inducing apoptosis. Compared with original nanoparticles, the nanofibers with photosensitizer Ce6 retained within tumor site for a longer time. Collectively, we provided a good example to fully use the intrinsic properties of different drugs and linkers to construct tumor microenvironment-responsive charge reversal and shape transformable nanoparticles with synergistic antitumor effect.