RESUMO
Objective:To study the stability and influencing factors of potassium iodate iodized salt that can be sold in Jilin Province.Methods:In November 2020, 10 large supermarkets were randomly selected in Jilin Province, and two kinds of potassium iodate iodized salts were randomly selected in each supermarket, with five copies of each kind, a total of 100 samples of iodized salt, and the iodine content was determined by spectrophotometry (iodide-starch blue light method). Iodized salt samples were classified according to different salt species (mine salt, sea salt and lake salt) and different production processes (refined salt and non-refined salt). The salt was stored at room temperature, and the iodine content in the salt was measured at 0, 10 and 20 days after opening the packaging. The iodine content attenuation rates of different salt species and different production processes were compared.Results:The mine salt, sea salt and lake salt in iodized salt samples were 45, 45 and 10 portions, respectively. The iodine contents of the 0th day of storage [(19.89 ± 1.38), (20.62 ± 1.91), (19.78 ± 1.01) mg/kg] were compared, and the difference was not statistically significant ( F = 2.57, P = 0.093). On the 10th day, the iodine content of mine salt was lower than that of sea salt and lake salt, and the differences were statistically significant ( P < 0.05); on the 20th day, the iodine content of mine salt was lower than that of sea salt, and the difference was statistically significant ( P < 0.05). There was a significant difference in the iodine content of mine salt stored at 0, 10 and 20 days ( F = 90.62, P < 0.001). The iodine content of sea salt and lake salt on the 20th day was significantly lower than that on the 0th and 10th day, and the differences were statistically significant ( P < 0.05). The iodine content attenuation rates of mine salt, sea salt and lake salt on the 0 - 10 days was compared with that on the 10 - 20 days, and the differences were statistically significant ( Z = 2.24, 2.94, 2.80, P < 0.05). There was a significant difference in the iodine content attenuation rates of mine salt, sea salt and lake salt during the 0 - 10 days of storage ( Z = 24.05, P < 0.001), there was no statistically significant difference in the iodine content attenuation rates on 10 - 20 days ( Z = 5.86, P = 0.053). There was no significant difference in iodine content attenuation rates between refined salt and non-refined salt on 0 - 10, 10 - 20 days ( Z = 1.16, 0.28, P > 0.05). There was no statistical significant difference in the iodine content attenuation rates of refined salt and non-refined salt on the 0 - 10 days compared with those of 10 - 20 days ( Z = 0.76, 1.90, P > 0.05). Conclusions:Iodine loss occurs at 20 days after opening the packaging of iodized salt in Jilin Province. The attenuation of iodine content is less affected by salt species and production processes. It is recommended to eat iodized salt within 20 days after opening the packaging.
RESUMO
Objective To analyze the epidemiological characteristics and influencing factors of pulmonary infection in the elderly, and to construct a risk prediction model. Methods Stratified cluster sampling was used to randomly select 683 elderly patients in Zhangjiakou First Hospital as the investigation subjects. Sputum specimens were collected and sent for bacterial isolation, culture, identification, and drug sensitivity test. According to whether the patients had pulmonary infection, they were divided into pulmonary infection group (n=315) and non-pulmonary infection group (n=368). The clinical data of the two groups such as age, sex, COPD, and ICU admission were analyzed. Univariate analysis and logistic regression analysis were used to analyze the influencing factors of pulmonary infection in elderly patients, and a risk prediction model was established. Results A total of 331 strains of pathogenic bacteria were detected in 315 patients with pulmonary infection, and there were 207 strains (62.54%) of gram-negative bacteria detected, mainly including 95 strains (28.70%) of Acinetobacter baumannii and 71 strains (21.45%) of Klebsiella pneumoniae. There were 169 strains (26.28%) of gram-positive bacteria detected, mainly 68 strains (20.54%) of Staphylococcus aureus. In addition, there were 25 strains of fungi (7.55%). There were no significant differences in gender, smoking history, history of COPD, asthma, and stroke between the two groups (P>0.05). The proportion of patients aged≥70, mechanical ventilation, admission to ICU and recent respiratory tract infection in the experimental group was significantly higher than that in the control group (P<0.05). Multivariate logistic regression analysis showed that age, smoking history, mechanical ventilation, and ICU admission were independent risk factors for pulmonary infection in elderly patients (P<0.05). According to the above four independent influencing factors and corresponding regression coefficient of each factor, the prediction model of pulmonary infection in elderly patients was constructed, Z=-5.948+1.198× (age) +1.281×(smoking history) +2.029×(mechanical ventilation) +1.211×(ICU admission). Conclusion Lung infection in elderly patients in our hospital is dominated by gram-negative bacilli. Antibiotics should be rationally selected according to drug sensitivity results. Age≥70 years old and COPD can increase the risk of pulmonary infection in elderly patients, and the prediction model constructed can effectively predict the occurrence of pulmonary infection in elderly patients.