Objective:To help flying personnel prevent flight fatigue risk and ensure flight safety by investigating the fatigue and countermeasures of flying personnel during long-haul flight.Methods:Air Force flying personnel were randomly selected from a cluster. They were divided into 21-30, 31-40 and 41-50 years group according to age. According to the post, they were divided into fighter pilots, bomber pilots, air navigation commander/air communication controller/aerial machinist and other groups. The self-made "questionnaire of aeromedical support to long-haul flight safety" was used to collect the fatigue condition and countermeasures of flying personnel in long-haul flight for the comparison among age and post groups.Results:Out of 156 questionnaires, 150 were valid, with a response rate of 96.2%. For the comparisons among age groups, the significant differences were observed in 3 fatigue symptoms such as drowsiness/sleepiness, discomfort on neck, waist, and shoulders, and degraded reaction ( χ2=12.62, 11.77, 12.23, P=0.002, 0.003, 0.002), 2 fatigue countermeasures such as talking with teammates and engaging in physical activity ( χ2=6.37, 16.70, P=0.041,<0.001), and 4 measures of maintaining flight ability such as sleep management, comprehensive physical training, functional food intake and simulation training ( χ2=8.81, 11.48, 9.59, 7.32, P=0.012, 0.003, 0.008, 0.026). For the comparisons among post groups, the significant differences were observed in 3 fatigue symptoms as visual fatigue, drowsiness/sleepiness, and discomfort on neck, waist, and shoulders ( χ2=10.39, 17.89, 8.42, P=0.016, 0.001, 0.038), as well as in fatigue countermeasures chosen like taking in water or food ( χ2=19.06, P<0.001) and in improving flight ability chosen like relieving eye fatigue ( χ2=12.09, P=0.007). Conclusions:The age and post factors influence the fatigue conditions and countermeasures chosen in the flying personnel during long-haul flight. The targeted and comprehensive interventions are suggested.

Objective:To understand residents' health status and disease characteristics by analyzing the disease spectrum and disease patterns of the entire population and elderly hospitalized patients in Tianjin between 2018 and 2020, thus providing scientific evidence for disease prevention and treatment.Methods:Information on the first page of inpatient medical records from 77 secondary or higher-level hospitals was provided by the Tianjin Health and Medical Big Data Platform.The codes of the International Classification of Diseases 10th revision(ICD-10)were used by the system for standardized diagnoses at hospital discharge.The disease spectrum of inpatients was analyzed based on the systems implicated by diseases.Age stratification was performed in examining changes in the orders of diseases across the spectrum.Results:Between 2018 and 2020, a total of 3 568 034 patients were discharged, with 1 204 733 in 2018, 1 372 747 in 2019, and 990 554 in 2020.Male patients accounted for 49.2%(1 756 867/3 568 034), elderly patients(65 years or older)accounted for 33.5%(1 194 189/3 568 034), and patients from tertiary hospitals accounted for 86.5%(3 085 482/3 568 034).According to the ICD-10, there were 19 categories of diseases when diagnoses at discharge were considered.Over the three-years period, the top ten diseases made up 81.1%(2 893 430/3 568 034)of all cases at discharge, with high consistency in their rankings(harmonic index value Wa=0.986, χ2=70.989, P<0.001).The circulatory system and the nervous system always occupied the top two positions, while the respiratory system decreased from third to seventh place in 2020.The rankings of factors affecting health and healthcare access increased.The circulatory system, nervous system, respiratory system, digestive system, and tumors consistently ranked among the top six categories in the disease spectrum of the elderly and the rankings of diseases related to the eye, ear, endocrine system, musculoskeletal system, and connective tissue system were also up compared to those of the entire population. Conclusions:Hospitalized patients are concentrated in tertiary hospitals, with a relatively high proportion of elderly patients.In the disease spectrum, circulatory system diseases, neurological system diseases, digestive system diseases, tumors, and respiratory system diseases have always been at the top of the list for medical treatment, both for the entire population and for elderly patients, with a significant decrease in the ranking of respiratory system diseases in 2020.The rankings of eye, ear, endocrine, musculoskeletal, and connective tissue diseases in elderly patients have increased compared to the entire population, indicating a need to step up the development of geriatric medicine and related specialties and the importance to promote the healthy China initiative and healthy aging.

Objective:To help flying personnel prevent flight fatigue risk and ensure flight safety by investigating the fatigue and countermeasures of flying personnel during long-haul flight.Methods:Air Force flying personnel were randomly selected from a cluster. They were divided into 21-30, 31-40 and 41-50 years group according to age. According to the post, they were divided into fighter pilots, bomber pilots, air navigation commander/air communication controller/aerial machinist and other groups. The self-made "questionnaire of aeromedical support to long-haul flight safety" was used to collect the fatigue condition and countermeasures of flying personnel in long-haul flight for the comparison among age and post groups.Results:Out of 156 questionnaires, 150 were valid, with a response rate of 96.2%. For the comparisons among age groups, the significant differences were observed in 3 fatigue symptoms such as drowsiness/sleepiness, discomfort on neck, waist, and shoulders, and degraded reaction ( χ2=12.62, 11.77, 12.23, P=0.002, 0.003, 0.002), 2 fatigue countermeasures such as talking with teammates and engaging in physical activity ( χ2=6.37, 16.70, P=0.041,<0.001), and 4 measures of maintaining flight ability such as sleep management, comprehensive physical training, functional food intake and simulation training ( χ2=8.81, 11.48, 9.59, 7.32, P=0.012, 0.003, 0.008, 0.026). For the comparisons among post groups, the significant differences were observed in 3 fatigue symptoms as visual fatigue, drowsiness/sleepiness, and discomfort on neck, waist, and shoulders ( χ2=10.39, 17.89, 8.42, P=0.016, 0.001, 0.038), as well as in fatigue countermeasures chosen like taking in water or food ( χ2=19.06, P<0.001) and in improving flight ability chosen like relieving eye fatigue ( χ2=12.09, P=0.007). Conclusions:The age and post factors influence the fatigue conditions and countermeasures chosen in the flying personnel during long-haul flight. The targeted and comprehensive interventions are suggested.

This study aims to develop a method to detect bovine multi-cytokines based on flow cytometry. Previously we have prepared and screened monoclonal antibodies against bovine cytokines IFN-γ, IL-2, TNF-α, IP-10 and MCP-1. These bovine cytokine monoclonal antibodies were fluorescently labeled, and the combination of antibody and cell surface molecules were used to develop the method for detecting bovine multi-cytokines. Subsequently, the developed method was used to determine the cytokine expression profile of Mycobacterium bovis BCG infected bovine peripheral blood mononuclear cells in vitro, and evaluate the cytokine expression level of peripheral blood CD4⁺ T cells of tuberculosis-positive cattle. The bovine multi-cytokine flow cytometry detection method can effectively determine the cytokine expression of BCG-infected bovine peripheral blood T lymphocytes. Among them, the expression levels of IFN-γ, IL-2, and TNF-α continue to increase after 40 hours of infection, while the expression levels of IP-10 and MCP-1 decreased. The combined detection of IFN-γ, IL-2, and TNF-α on CD4⁺ T lymphocytes in peripheral blood of cattle can effectively distinguish tuberculosis-positive and tuberculosis-negative samples. This method may facilitate evaluating the level of cellular immune response after bovine pathogen infection and vaccine injection.
Cattle ; Animals ; Cytokines ; BCG Vaccine/metabolism* ; Tumor Necrosis Factor-alpha/metabolism* ; Interleukin-2 ; Flow Cytometry/methods* ; Chemokine CXCL10/metabolism* ; Leukocytes, Mononuclear ; CD4-Positive T-Lymphocytes/metabolism* ; Tuberculosis ; Antibodies, Monoclonal/metabolism*

The latest epidemiological data suggests that the situation of adult diabetes in China is severe, and metabolic diseases have become significant chronic illnesses that have a serious impact on public health and social development. After more than six years of practice, the National Metabolic Management Center(MMC) has developed distinctive approaches to manage metabolic patients and has achieved a series of positive outcomes, continuously advancing the standardized diagnosis and treatment model. In order to further improve the efficiency, based on the first edition, the second edition guideline was composed by incorporating experience of the past six years in conjunction with the latest international and domestic guidelines.

Objective    To study the learning curve of minimal invasive coronary artery bypass grafting (MICS CABG) and the influence on the perioperative clinical effects by analyzing operation time. Methods    From March 2012 to November 2020, 212 patients underwent MICS CABG by the same surgeon. Among them, 59 patients (52 males and average age of 62.89±8.27 years) with single vessel bypass grafting were as a single-vessel group and 153 patients (138 males, average age of 59.80±9.22 years) with multi-vessel bypass grafting were as a multi-vessel group. Two sets of operation time-operation sequence scatter plots were made and learning curve was analyzed by cumulative summation (CUSUM) and regression method of operation time. The surgical data of each group before and after the inflection point of the learning curve were compared with the main clinical outcome events within 30 days after surgery. Results    There was no death, perioperative myocardial infarction and stroke in 212 MICS CABG patients and no transfer to cardiopulmonary bypass or redo thoracotomy. The learning curve conformed to the cubic fitting formula. In the single- vessel group, CUSUM (x operation number)=–1.93+93.45×x–2.33×x2+0.01×x3, P=0.000, R2=0.986, the tipping point was 27 patients. In the multi-vessel group, CUSUM (x)=y=2.87+1.15×x–1.29× x2+3.463×x3, P=0.000, R2=0.993, and the tipping point was 59 patients. The two sets of case data were compared before and after the learning curve and there was no statistical difference in main clinical outcomes within 30 days (mortality, acute myocardial infarction, stroke, perioperative blood transfusion rate), ventilator tube, and intensive care unit retention. Conclusion    The learning curve of MICS CABG conforms to the cubic formula, and the process transitions from single to multiple vessels bypass. To enter the mature stage of the learning phase, a certain number of patients need to be done. Reasonable surgical procedures and quality control measures can ensure the safety during the learning phase.

Background: Subclinical hypothyroidism (SCH) is the most common thyroid dysfunction, and its relationship with blood pressure (BP) has been controversial. The aim of the study was to analyze the association between SCH and newly-diagnosed hypertension. Methods: Based on data from the Thyroid disease, Iodine nutrition and Diabetes Epidemiology (TIDE) study, 49,433 euthyroid individuals and 7,719 SCH patients aged ≥18 years were enrolled. Patients with a history of hypertension or thyroid disease were excluded. SCH was determined by manufacturer reference range. Overall hypertension and stage 1 and 2 hypertension were diagnosed according to the guidelines issued by the American College of Cardiology/American Heart Association in 2017. Results: The prevalence of overall hypertension (48.7%), including stage 1 (28.9%) and 2 (19.8%) hypertension, increased significantly in SCH patients compared with euthyroid subjects. With elevated serum thyroid stimulating hormone (TSH) level, the hypertension prevalence also increased significantly from the euthyroid to different SCH subgroups, which was more profound in females or subjects aged <65 years. The age- and sex-specific regression analysis further demonstrated the same trends in the general population and in the 1:1 propensity matched population. Similarly, several BP components (i.e., systolic, diastolic, and mean arterial BP) were positively associated with TSH elevation, and regression analysis also confirmed that all BP components were closely related with SCH in female subjects aged <65 years. Conclusion The prevalence of hypertension increases for patients with SCH. SCH tends to be associated with hypertension and BP components in females younger than 65 years.

Background: Subclinical hypothyroidism (SCH) is the most common thyroid dysfunction, and its relationship with blood pressure (BP) has been controversial. The aim of the study was to analyze the association between SCH and newly-diagnosed hypertension. Methods: Based on data from the Thyroid disease, Iodine nutrition and Diabetes Epidemiology (TIDE) study, 49,433 euthyroid individuals and 7,719 SCH patients aged ≥18 years were enrolled. Patients with a history of hypertension or thyroid disease were excluded. SCH was determined by manufacturer reference range. Overall hypertension and stage 1 and 2 hypertension were diagnosed according to the guidelines issued by the American College of Cardiology/American Heart Association in 2017. Results: The prevalence of overall hypertension (48.7%), including stage 1 (28.9%) and 2 (19.8%) hypertension, increased significantly in SCH patients compared with euthyroid subjects. With elevated serum thyroid stimulating hormone (TSH) level, the hypertension prevalence also increased significantly from the euthyroid to different SCH subgroups, which was more profound in females or subjects aged <65 years. The age- and sex-specific regression analysis further demonstrated the same trends in the general population and in the 1:1 propensity matched population. Similarly, several BP components (i.e., systolic, diastolic, and mean arterial BP) were positively associated with TSH elevation, and regression analysis also confirmed that all BP components were closely related with SCH in female subjects aged <65 years. Conclusion The prevalence of hypertension increases for patients with SCH. SCH tends to be associated with hypertension and BP components in females younger than 65 years.

Objective To evaluate the clinical control role of magnifying endoscopy with narrow-band imaging plus forceps biopsy for gastric low-grade intraepithelial neoplasia detected by normalendoscopic biopsy. Methods This retrospective study enrolled 142 patients between January 2012 to December 2017, who were diagnosed as gastric LGIN by forceps biopsy in the first endoscopy examination and followed up by endoscopic surveillance. All the cases received endoscopic submucosal dissection or operation. One hundred and forty-two patients were divided into three groups according to different methods used to reexamine, including conventional white-light imaging (C-WLI) plus biopsy group, magnifying endoscopy with narrow-band imaging (ME-NBI) group and magnifying endoscopy with narrow-band imaging (ME-NBI) plus biopsy group. The consistent rate between the endoscopic-reexamined diagnosis and the pathologic diagnosis after ESD or operation in the three groups were compared. According to the pathologic diagnosis after ESD or operation, they were divided into two groups:the non-cancer group and the cancer group, the clinic and endoscopic characteristics between the non-cancer group and the cancer group were analyzed. Results The accuracy, sensitivity, specificity, NPV and PPV were significantly higher in ME-NBI group than those in C-WLI plus biopsy group and ME-NBI plus biopsy group:94.59％vs. 86.76％and 81.08％, 85.71％vs. 62.50％and 75.00％, 100.00％vs. 100.00％and 84.78％, 100.00％vs. 100.00％and 75.00％, 92.00％vs. 83.02％and 86.27％. As for the clinic and endoscopic characteristics, there was no statistically significant difference between the non-cancer group and the cancer group with age of patients, gender of patients, location of lesions, gastric mucosal atrophy, intestinal metaplasia and H.pylori infections (P>0.05). There was statistically significant difference with the size>1 cm, redness, nodularity and depression between the two groups (P<0.05). Conclusions Using the method of ME-NBI plus biopsy, actual high-grade intraepithelial neoplasia or early carcinoma can be differentiated from low-grade intraepithelial neoplasia so that treatment can be performed without delay.For the lesions of the size>1 cm, redness, nodularity and depression, they need to be reexamized as quickly as possible by the method of ME-NBI plus biopsy.

Background: Esophageal squamous cell carcinoma (ESCC) is an aggressive malignancy, with a high incidence and poor prognosis. In the past several decades, hundreds of proteins have been reported to be associated with the prog-nosis of ESCC, but none has been widely accepted to guide clinical care. This study aimed to identify proteins with great potential for predicting prognosis of ESCC. Methods: We conducted a systematic review on immunohistochemical (IHC) prognostic markers of ESCC accord-ing to the 2009 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Guidelines. Literature related to IHC prognostic markers of ESCC were searched from PubMed, Embase, Web of Science, and Cochrane Library until January 30th, 2017. The risk of bias of these original studies was evaluated using the Quality in Prognosis Studies (QUIPS) tool. Results: We identified 11 emerging IHC markers with reproducible results, including eight markers [epidermal growth factor receptor (EGFR), Cyclin D1, vascular endothelial growth factor (VEGF), Survivin, Podoplanin, Fascin, phosphorylated mammalian target of rapamycin (p-mTOR), and pyruvate kinase M2 (PKM2)] indicating unfavorable prognosis and 3 markers (P27, P16, and E-cadherin) indicating favorable prognosis of ESCC. Conclusion: Strong evidence supports that these 11 emerging IHC markers or their combinations may be useful in predicting prognosis and aiding personalized therapy decision-making for ESCC patients.