Objective:To construct talent training objectives and courses for undergraduate education of tropical medicine.Methods:Two rounds of questionnaire consultation were conducted among 15 experts by Delphi method. SPSS 26.0 software was used for statistical analysis, and the recovery rate, expert authority coefficient, mean of importance score, full score ratio, coefficient of variation and Kendall coordination coefficient were calculated respectively. Kendall's rank correlation test was used to analyze the degree of expert coordination, and the "boundary value method" was used to screen the indicators.Results:The effective recovery rates of the two rounds of consultation were all 100.00% and the expert authority coefficient was 0.815. The coordination coefficient was 0.25, 0.32, and 0.27, 0.36 respectively, and the significance test showed P<0.001. Finally, 11 talent training objectives and 7 courses for undergraduate education of tropical medicine were formed. Conclusions:The talent training objectives and courses for undergraduate education of tropical medicine are reasonable and reliable, which can provide theoretical support for tropical medicine talent training and have certain guiding value.

Objective To investigate the correlation between the infarction location and progressive motor deficits (PMD) occurrence.Methods The patients with middle cerebral artery(MCA) infarction within 24 h of onset without thrombolytic therapy were included.The National Institutes of Health Stroke Scale(NIHSS) motor item score increase ≥2 points of the base line within 7 d after stroke onset served as the PMD diagnostic criteria.The differences in clinical and laboratory data,and infarction location were compared between the PMD group and non-PMD group.The multivariate Logistic regression analysis predicted the risk factors of PMD occurrence.Results A total 121 patients with MCA acute cerebral infarction were included in the study and divided into the PMD group (45 cases) and non-PMD group (76 cases).The internal watershed infarction occurrencerate in the PMD group was higher than that in the non-PMD group (26.7 ％ vs.5.3％,p=0.001).The occurrence rate of penetrating arterial infarction (PAI) had no statistical difference between the PMD group and non-PMD group(42.2％ vs.35.5％,P=0.463).PAI was further divided into perforating branch atheromatous disease (BAD) and lipohyalinitic degeneration (LD).The occurrence rate of BAD in the PMD group was significantly higher than that in the non-PMD group (28.9％ vs.9.2％,P=0.005).The stepwise Logistic regression analysis indicated that watershed infarction [odds ratio (OR):9.750,95 ％ confidence interval(CI):2.828-33.612,P=0.000] and BAD lesion (OR:6.036,95 ％ CI:2.119-17.190,P =0.001) were the independent risk factors contributing to PMD.Conclusion Internal watershed infarction and BAD lesion may predict the PMD occurrence.The infarct location is conducive to find the high risk population of cerebral infarction progress.

Objective:To explore the influence of multidimensional integration and 360° support on the function of family and marriage, and quality of life in women patients with systemic lupus erythematosus.Methods:Totally 196 patients with systemic lupus erythematosus from Department of Rheumatology and Immunology, The Second Affiliated Hospital of the Air Force Medical University from August 2016 to November 2017 were included. According to random number table method, these patients were divided into observation group and control group as 98 cases each. Conventional care and hospital discharge were used for control group. On the basis of this, multidimensional integration and 360° support were used for patients of observation group. The function of family and marriage, quality of life in patients were assessed before and after 3 months of the intervention. The treatment adherence was evaluated in 3 months and 6 months after intervention.Results:Before intervention, the marriage family function score, marital satisfaction, conflict resolution methods and the relationship with friends and family, husband and wife exchange scores of the observation group were (2.3 ± 0.5), (24.6 ± 6.1), (25.7 ± 7.1), (28.2 ± 6.9), (28.8 ± 6.9) points, respectively. Three months after intervention, these scores were (2.5 ± 0.7), (31.6 ± 5.0), (31.7 ± 5.3), (28.1 ± 6.8), (29.0 ± 7.1) points, respectively. There was statistically significant difference between before and after the intervention ( t values were -2.371 - 8.631, P < 0.01). These scores of control group before the intervention were (2.3 ± 0.6), (24.5 ± 6.2), (25.2 ± 7.2), (32.5 ± 6.0), (33.9 ± 6.3) points, respectively. Three months after intervention, these scores were (2.3 ± 0.4), (24.5 ± 6.2), (26.1 ± 6.9), (29.1± 4.8), (28.5 ± 7.2) points. Significant differeces were found between before and after the intervention in control group ( t values were -3.878-6.323, P < 0.05 or 0.01). There was statistically significant difference between the two groups after the intervention ( t values were 2.675-8.631, P<0.01). As for observation group, planning (62.8 ± 27.2 vs. 75.5 ± 25.4) and intimate relationship (62.8 ± 25.2 vs. 78.2± 24.9) in quality of life were obviously difference before and after 3 months of intervention ( t values were 3.050, 3.639, P < 0.01). As for control group, planning (62.5 ± 27.6 vs. 65.7 ± 24.9) and intimate relationship (65.8 ±25.2 vs. 63.5 ± 23.8) in quality of life were obviously difference before and after 3 months of intervention ( t values were 2.375, 3.132, P < 0.01). There was statistically significant difference between the two groups after the intervention ( t values were 3.050, 3.639, P < 0.01). The treatment adherence of observation group was significant better than control group. After 6 months intervention, the treatment adherece of observation group was 83.67% (82/98), while the treatment adherece of control group was 44.89% (44/98), significant differences were found btween the two groups ( χ2 value was 0.511, P < 0.01). Conclusion:Multidimensional integration and 360° support obviously improved function of family and marriage, improved the understanding of disease, and self-management ability of patients. Therefore, it can increase the treatment adherence and improve quality of life in SLE patients.

BACKGROUND: Weather conditions are a possible contributing factor to age-related macular degeneration (AMD), a leading cause of irreversible loss of vision. The present study evaluated the joint effects of meteorological factors and fine particulate matter (PM_2.5) on AMD. METHODS: Data was extracted from a national cross-sectional survey conducted across 10 provinces in rural China. A total of 36,081 participants aged 40 and older were recruited. AMD was diagnosed clinically by slit-lamp ophthalmoscopy, fundus photography, and spectral domain optical coherence tomography (OCT). Meteorological data were calculated by European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis and were matched to participants' home addresses by latitude and longitude. Participants' individual PM_2.5 exposure concentrations were calculated by a satellite-based model at a 1-km resolution level. Multivariable-adjusted logistic regression models paired with interaction analysis were performed to investigate the joint effects of meteorological factors and PM_2.5 on AMD. RESULTS: The prevalence of AMD in the study population was 2.6% (95% CI 2.42-2.76%). The average annual PM_2.5 level during the study period was 63.1 ± 15.3 µg/m³. A significant positive association was detected between AMD and PM_2.5 level, temperature (T), and relative humidity (RH), in both the independent and the combined effect models. For PM_2.5, compared with the lowest quartile, the odds ratios (ORs) with 95% confidence intervals (CIs) across increasing quartiles were 0.828 (0.674,1.018), 1.105 (0.799,1.528), and 2.602 (1.516,4.468). Positive associations were observed between AMD and temperature, with ORs (95% CI) of 1.625 (1.059,2.494), 1.619 (1.026,2.553), and 3.276 (1.841,5.830), across increasing quartiles. In the interaction analysis, the estimated relative excess risk due to interaction (RERI) and the attributable proportion (AP) for combined atmospheric pressure and PM_2.5 was 0.864 (0.586,1.141) and 1.180 (0.768,1.592), respectively, indicating a synergistic effect between PM_2.5 and atmospheric pressure. CONCLUSIONS This study is among the first to characterize the coordinated effects of meteorological factors and PM_2.5 on AMD. The findings warrant further investigation to elucidate the relationship between ambient environment and AMD.
Humans ; Adult ; Middle Aged ; Cross-Sectional Studies ; Air Pollutants/analysis* ; Particulate Matter/analysis* ; China/epidemiology* ; Macular Degeneration/etiology* ; Meteorological Concepts