Objective: To investigate the prevalence, characteristics, and preventive status of skin injuries caused by personal protective equipment (PPE) in medical staff. Approach: A cross-sectional survey was conducted online for understanding skin injuries among medical staff fighting COVID-19 in February 8-22, 2020. Participants voluntarily answered and submitted the questionnaire with cell phone. The questionnaire items included demographic data, grade of PPE and daily wearing time, skin injury types, anatomical sites, and preventive measures. Univariable analyses and logistic regression analyses were used to explore the risk factors associated with skin injuries. Results: A total of 4,308 respondents were collected from 161 hospitals and 4,306 respondents were valid. The overall prevalence of skin injuries was 42.8% (95% confidence interval [CI] 41.30-44.30) with three types of devicerelated pressure injuries, moist-associated skin damage, and skin tear. Co-skin injuries and multiple location injuries were 27.4% and 76.8%, respectively. The logistic regression analysis indicated that sweating (95% CI for odds ratio [OR] 87.52-163.11), daily wearing time (95% CI for OR 1.61-3.21), male (95% CI for OR 1.11-2.13), and grade 3 PPE (95% CI for OR 1.08-2.01) were associated with skin injuries. Only 17.7% of respondents took prevention and 45.0% of skin injuries were treated. Innovation: This is the first cross-sectional survey to understand skin injuries in medical staff caused by PPE, which is expected to be a benchmark. Conclusion: The skin injuries among medical staff are serious, with insufficient prevention and treatment. A comprehensive program should be taken in the future.

Since December 2019, the medical staff fighting against COVID-19 frequently reported the device-related pressure injury (DRPI) caused by personal protective equipment (PPE). We conducted a cross-sectional survey online to investigate the prevalence and characteristics of DRPI among medical staff.Univariate and multivariate logistic regression analyses were employed to explore the risk factors associated with DRPI. A total of 4308 participants were collected and 4306 participants were valid from 161 hospitals in China. The overall prevalence of DRPI caused by PPE among medical staff was 30.03% Int Wound J. 2020;1-10.wileyonlinelibrary.com/journal/iwj (95% CI 28.69%-31.41%). The prevalence of male was more than that of female (42.25%, 95% CI 37.99-46.51% vs 26.36%, 95% CI 26.93-29.80%, P < .001).The categories were mainly stages 1 and 2, and the common anatomical locations were nose bridge, cheeks, ears, and forehead. Logistic regression analysis revealed that the risk factors were sweating (OR = 43.99, 95% CI 34.46-56.17), male (OR = 1.50, 95% CI 1.12-1.99), level 3 PPE (OR = 1.44, 95% CI 1.14-1.83), and longer wearing time (OR = 1.28, 95% CI 0.97-1.68). The prevalence of DRPI was high among medical staff wearing PPE against COVID-19, and the risk factors were sweating, male, wearing level 3 PPE, and longer wearing time.Comprehensive preventive interventions should be taken.

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In this study, we selected four different color fleshed sweet potatoes, purple-(Jizi 01), red-(Xinong 431), yellow-(Beijing 553) and white-(Shangshu 19) fleshed cultivars as test materials, analyzed nutrient composition, dietary fiber content, anthocyanins quantification, and total phenolics content, and also measured their total antioxidant activity in four different types of sweet potato. In view of differences in flesh color, the nutrient contents of different cultivars appeared to be significantly different. Starch contents of Beijing 553 and Shangshu 19 were higher, but fat contents were lower than others. Protein content of Shangshu 19 was the highest followed by Jizi 01 and Xinong 431. In addition, our analysis results confirmed that purple fleshed sweet potato possesses much higher anthocyanins content than others, even up to 6.23 mg/g dry matter. Also, dietary fiber, total phenolics content, and total antioxidant capacity of Jizi 01 were significantly higher.

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Staphylococcus aureus is one of the main pathogens causing mastitis in dairy animals worldwide. It is an important opportunistic pathogen of raw milk, and the enterotoxin causes significant food poisoning. Monitoring the antibiotic resistance of S. aureus in raw milk is helpful for a risk assessment of S. aureus. In this study, 62 strains (43.1%) of S. aureus were isolated from 144 retail raw milk samples of different varieties from four regions in northern Xinjiang, China. Among them, the isolation rates at Shihezi, Hami, Altay, and Tacheng were 58.1% (54/93), 12.9% (4/31), 18.2% (2/11), and 22.2% (2/9), respectively. The isolation rate of positive strains in cow milk samples was the highest (61.7%, 37/60), followed by camel milk (35.9%, 23/64), and horse milk (10.0%, 2/20). The results of the classical virulence genes test showed that 12.9% (8/62) of the isolates carried at least one virulence gene. The main genotype was see (6.5%, 4/62), followed by sea+sec (3.2%, 2/62), sea (1.6%, 1/62), and sec (1.6%, 1/62). The analysis of 13 resistance genes and the susceptibility to 12 different antibiotics of 62 isolates showed that 80.6% (50/62) of the strains were resistant to at least one antibiotic, and 46.8% (29/62) were resistant to three or more antibiotics. The isolated strains had the highest resistance rate to penicillin (72.6%, 45/62), and 25.8% (16/62) of the isolates carried the blaZ resistance gene. In addition, 32 strains (51.6%, 32/62) of methicillin-resistant S. aureus were detected. All isolates had the ability to form biofilms. The pulsed-field gel electrophoresis results showed that the 47 isolates revealed 13 major pulsotypes (P1–P13) and 26 subtypes with 80% similarity, indicating the overall genetic diversity in the distribution area and sources of the samples. These findings indicate that S. aureus causes serious pollution of raw milk in northern Xinjiang, which has a negative effect on public health. Therefore, control measures and continuous monitoring should be undertaken to ensure the quality and safety of raw milk.