Objective To investigate the attributable risk(AR)of Acinetobacter baumannii(AB)infection in criti-cally ill patients.Methods A multicenter retrospective cohort study was conducted among adult patients in inten-sive care unit(ICU).Patients with AB isolated from sterile body fluid and confirmed with AB infection in each cen-ter were selected as the infected group.According to the matching criteria that patients should be from the same pe-riod,in the same ICU,as well as with similar APACHE Ⅱ score(±5 points)and primary diagnosis,patients who did not infect with AB were selected as the non-infected group in a 1:2 ratio.The AR was calculated.Results The in-hospital mortality of patients with AB infection in sterile body fluid was 33.3％,and that of non-infected group was 23.1％,with no statistically significant difference between the two groups(P=0.069).The AR was 10.2％(95％CI:-2.3％-22.8％).There is no statistically significant difference in mortality between non-infected pa-tients and infected patients from whose blood,cerebrospinal fluid and other specimen sources AB were isolated(P＞0.05).After infected with AB,critically ill patients with the major diagnosis of pulmonary infection had the high-est AR.There was no statistically significant difference in mortality between patients in the infected and non-infec-ted groups(P＞0.05),or between other diagnostic classifications.Conclusion The prognosis of AB infection in critically ill patients is highly overestimated,but active healthcare-associated infection control for AB in the ICU should still be carried out.

Objective: Compare and analyze the results of the domestic Lanyi AH600 glycated hemoglobin analyzer and other different detection systems to understand the comparability of the detection results of different detectors, and establish the best cut point of Lanyi AH600 determination of haemoglobin A1c (HbA1c) in the diagnosis of diabetes. Methods: Multi center cohort study was adopted. The clinical laboratory departments of 18 medical institutions independently collected test samples from their respective hospitals from March to April 2022, and independently completed comparative analysis of the evaluated instrument (Lanyi AH600) and the reference instrument HbA1c. The reference instruments include four different brands of glycosylated hemoglobin meters, including Arkray, Bio-Rad, DOSOH, and Huizhong. Scatter plot was used to calculate the correlation between the results of different detection systems, and the regression equation was calculated. The consistency analysis between the results of different detection systems was evaluated by Bland Altman method. Consistency judgment principles: (1) When the 95% limits of agreement (95% LoA) of the measurement difference was within 0.4% HbA1c and the measurement score was≥80 points, the comparison consistency was good; (2) When the measurement difference of 95% LoA exceeded 0.4% HbA1c, and the measurement score was≥80 points, the comparison consistency was relatively good; (3) The measurement score was less than 80 points, the comparison consistency was poor. The difference between the results of different detection systems was tested by paired sample T test or Wilcoxon paired sign rank sum test; The best cut-off point of diabetes was analyzed by receiver operating characteristic curve (ROC). Results: The correlation coefficient R² of results between Lanyi AH600 and the reference instrument in 16 hospitals is≥0.99; The Bland Altman consistency analysis showed that the difference of 95% LoA in Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180) was -0.486%-0.325%, and the measurement score was 94.6 points (473/500); The difference of 95% LoA in the Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant II) was -0.727%-0.612%, and the measurement score was 89.8 points; The difference of 95% LoA in the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT) was -0.231%-0.461%, and the measurement score was 96.6 points; The difference of 95% LoA in the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT) was -0.469%-0.479%, and the measurement score was 91.9 points. The other 14 hospitals, Lanyi AH600, were compared with 4 reference instrument brands, the difference of 95% LoA was less than 0.4% HbA1c, and the scores were all greater than 95 points. The results of paired sample T test or Wilcoxon paired sign rank sum test showed that there was no statistically significant difference between Lanyi AH600 and the reference instrument Arkray HA8180 (Z=1.665,P=0.096), with no statistical difference. The mean difference between the measured values of the two instruments was 0.004%. The comparison data of Lanyi AH600 and the reference instrument of all other institutions had significant differences (all P<0.001), however, it was necessary to consider whether it was within the clinical acceptable range in combination with the results of the Bland-Altman consistency analysis. The ROC curve of HbA1c detected by Lanyi AH600 in 985 patients with diabetes and 3 423 patients with non-diabetes was analyzed, the area under curve (AUC) was 0.877, the standard error was 0.007, and the 95% confidence interval 95%CI was (0.864, 0.891), which was statistically significant (P<0.001). The maximum value of Youden index was 0.634, and the corresponding HbA1c cut point was 6.235%. The sensitivity and specificity of diabetes diagnosis were 76.2% and 87.2%, respectively. Conclusion: Among the hospitals and instruments currently included in this study, among these four hospitals included Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180), Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant Ⅱ), the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT), and the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT), the comparison between Lanyi AH600 and the reference instruments showed relatively good consistency, while the other 14 hospitals involved four different brands of reference instruments: Arkray, Bio-Rad, DOSOH, and Huizhong, Lanyi AH600 had good consistency with its comparison. The best cut point of the domestic Lanyi AH600 for detecting HbA1c in the diagnosis of diabetes is 6.235%.
Pregnancy ; Child ; Humans ; Female ; Glycated Hemoglobin ; Cohort Studies ; Diabetes Mellitus/diagnosis* ; Sensitivity and Specificity ; ROC Curve

Objective: To analyze the levels and distribution characteristics of blood cadmium and urinary cadmium in American adults, to analyze the relationship between blood cadmium and urinary cadmium and pulmonary function dose response, and to explore the effect of this index on the risk of chronic obstructive pulmonary disease. Methods: In March 2022, 3785 patients from 2007 to 2012 in NHANES database were selected as the subjects. Collect demography data such as gender and age, and test data such as lung function, blood cadmium concentration and Urine cadimium concentration. The relationship between blood and urine cadmium levels and lung function and pulmonary function and chronic obstructive pulmonary diease (COPD) was analyzed by Mann-Whitney U test or Kruskal-Wallis H test, multivariate linear regression and restricted cubic spline method. Results: The geometric mean of blood cadmium and urine cadmium in American adults was 0.37 g/L and 0.28 g/L, FEV(1) and FEV(1)/FVC among different cadmium exposure groups was statistically significant, and there was a negative linear dose-response relationship between serum Cd and urine Cd concentrations and FEV(1)/FVC levels (P(overall)<0.001, P(non-linear)=0.152; P(overall)<0.001, P(non-linear)=0.926). Compared with the lowest quartile concentration (Q1), the highest quartile blood cadmium concentration (Q4) (OR=1.934, P(trend)=0.000) and urinary cadmium concentration (OR=1.683, P(trend)=0.000) may increased the risk of chronic obstructive pulmonary disease. Conclusion: There is a negative correlation between blood cadmium, urinary cadmium levels and lung function in American adults, and cadmium may increase the risk of chronic obstructive pulmonary disease.
Adult ; Humans ; Cadmium ; Nutrition Surveys ; Lung ; Pulmonary Disease, Chronic Obstructive ; Respiratory Function Tests

In 2020, the prevalence of abnormal spinal curvature among 54 079 students in Shandong Province was 1.54%. The multivariate logistic regression model analysis showed that, compared with those in primary school, economically underdeveloped areas, and non-residential schools, students in middle and high schools, economically average areas, and residential schools had a higher risk of abnormal spinal curvature, with OR (95%CI) values of 2.029 (1.662-2.476), 2.746 (2.208-3.416), 2.237 (1.740-2.875) and 2.057 (1.705-2.483), respectively. Compared with those in economically underdeveloped areas, who were underweight, who had seat adjustments≤1 time per academic year, and who had physical education classes≤1 per week, students in economically developed areas, who were normal weight, overweight, and obese, who had seat adjustments≥2 times per academic year, and who had physical education classes 2-3 or≥4 per week, had a lower risk of abnormal spinal curvature, with OR (95%CI) values of 0.690 (0.521-0.915), 0.722 (0.546-0.955), 0.535 (0.389-0.735), 0.383 (0.274-0.535), 0.835 (0.711-0.980), 0.561 (0.474-0.663) and 0.491 (0.315-0.766), respectively.
Humans ; Risk Factors ; Prevalence ; Spinal Curvatures ; Schools ; Students

In 2020, the prevalence of abnormal spinal curvature among 54 079 students in Shandong Province was 1.54%. The multivariate logistic regression model analysis showed that, compared with those in primary school, economically underdeveloped areas, and non-residential schools, students in middle and high schools, economically average areas, and residential schools had a higher risk of abnormal spinal curvature, with OR (95%CI) values of 2.029 (1.662-2.476), 2.746 (2.208-3.416), 2.237 (1.740-2.875) and 2.057 (1.705-2.483), respectively. Compared with those in economically underdeveloped areas, who were underweight, who had seat adjustments≤1 time per academic year, and who had physical education classes≤1 per week, students in economically developed areas, who were normal weight, overweight, and obese, who had seat adjustments≥2 times per academic year, and who had physical education classes 2-3 or≥4 per week, had a lower risk of abnormal spinal curvature, with OR (95%CI) values of 0.690 (0.521-0.915), 0.722 (0.546-0.955), 0.535 (0.389-0.735), 0.383 (0.274-0.535), 0.835 (0.711-0.980), 0.561 (0.474-0.663) and 0.491 (0.315-0.766), respectively.
Humans ; Risk Factors ; Prevalence ; Spinal Curvatures ; Schools ; Students

Objective: To investigate the impact of different levels of systolic blood pressure on all-cause, cardiovascular and cerebrovascular mortality in patients with nonvalvular atrial fibrillation (AF). Methods: This is a prospective cohort study. Patients with AF or atrial flutter diagnosed by 12 lead electrocardiogram during physical examination of Kailuan Group employees from July 2006 to December 2017 or previously diagnosed with AF in an inpatient setting at a level 2A hospital or above were eligible for the study. Baseline clinical characteristics including age, gender, systolic blood pressure were collected. According to the level of systolic blood pressure, patients were divided into systolic blood pressure<120 mmHg (1 mmHg=0.133 kPa)group, 120 mmHg ≤ systolic blood pressure<140 mmHg group, and systolic blood pressure ≥140 mmHg group. The time of first diagnosis with AF was defined as the start of follow-up and the final follow-up ended at December 2018. Primary endpoint was all-cause death. Related information was obtained through the social security system or inpatient medical records. The cause of death was defined according to the International Classification of Diseases disease (ICD-10) codes by professional medical stuffs. Multifactorial Cox proportional risk model was used to analyze the relative risk ratios for the occurrence of death in different systolic blood pressure level groups. The relationship between systolic blood pressure levels and mortality in the patients with AF was analyzed by using natural spline function curves. Results: A total of 1 721 patients with AF were enrolled (average age=(67.0±9.0) years), patients were followed up for (6.3±3.8) years. 544 out of 1 721 patients with AF died during the follow-up period (31.61%). The cumulative incidence rate of all-cause mortality, cardiovascular and cerebrovascular death was 26.13%, 25.59%, 36.96% and 14.86%, 11.87%, 19.76% respectively in the systolic blood pressure<120 mmHg, 120 mmHg ≤ systolic blood pressure<140 mmHg and systolic blood pressure ≥140 mmHg groups. The cumulative incidence rate of all-cause, cardiovascular and cerebrovascular death was significantly higher in the group with systolic blood pressure ≥140 mmHg than in 120 mmHg ≤ systolic blood pressure<140 mmHg group (P<0.05). Compared with 120 mmHg ≤ systolic blood pressure<140 mmHg group, multivariable Cox proportional hazards regression models showed that the HRs (95%CI) for all-cause, cardiovascular and cerebrovascular death were 1.47 (1.20 to 1.79) and 1.69 (1.27 to 2.26) for the group with systolic blood pressure ≥ 140 mmHg (P<0.05). In contrast, the HRs (95%CI) for all-cause, cardiovascular and cerebrovascular death in the systolic blood pressure<120 mmHg group were 0.99 (0.73-1.35) and 1.24 (0.82-1.89), respectively, with no statistically significant differences between the two groups (P>0.05). The natural spline curve showed that there was a "U" relationship between systolic blood pressure levels and all cause death and cardiovascular and cerebrovascular death in this patient cohort. Systolic blood pressure greater than or less than 123 mmHg was associated with increased risk of death of AF patients in this cohort. Conclusion: Compared with systolic blood pressure<120 mmHg and systolic blood pressure≥140 mmHg group, the risk of all-cause and cardiovascular and cerebrovascular death is the lowest in AF patients with 120 mmHg ≤ systolic blood pressure<140 mmHg in this cohort.

Hematoma/etiology* ; Humans ; Percutaneous Coronary Intervention/adverse effects* ; Retroperitoneal Space

Objective:To establish autoverification rules for coagulation tests in multicenter cooperative units, in order to reduce workload for manual review of suspected results and shorten turnaround time (TAT) of test reports, while ensure the accuracy of results.Methods:A total of 14 394 blood samples were collected from fourteen hospitals during December 2019 to March 2020. These samples included: Rules Establishment Group 11 230 cases, including 1 182 cases for Delta check rules; Rules Validation Group 3 164 cases, including 487cases for Delta check; Clinical Application Trial Group 77 269 cases. Samples were analyzed for coagulation tests using Sysmex CS series automatic coagulation analyzers, and the clinical information, instrument parameters, test results, clinical diagnosis, medication history of anticoagulant and other relative results such as HCT, TG, TBIL, DBIL were summarized; on the basis of historical data, the 2.5 and 97.5 percentile of all data arranged from low to high were initially accumulated; on the basis of clinical suggestions, critical values and specific drug use as well as relative guidelines, autoverification rules and limits were established.The rules were then input into middleware, in which Stage I/Stage II validation was done. Positive coincidence, negative coincidence, false negative, false positive, autoverification pass rate, passing accuracy (coincidence of autoverification and manual verification) were calculated. Autoverification rules underwent trial application in coagulation results reports.Results:(1) The autoverification algorisms involve 33 rules regarding PT/INR, APTT, FBG, D-dimer, FDP,Delta check, reaction curve and sample abnormalities; (2)Autoverification Establishment Group showed autoverification pass rate was 68.42% (7 684/11 230), the false negative rate was 0%(0/11230), coincidence of autoverification and manual verification was 98.51%(11 063/11 230), in which positive coincidence and negative coincidence were respectively 30.09% (3 379/11 230) and 68.42%(7 684/11 230); Autoverification Validation Group showed autoverification pass rate was 60.37%(1 910/3 164), the false negative rate was 0%(0/11 230), coincidence of autoverification and manual verification was 97.79%(3 094/3 164), in which positive coincidence and negative coincidence were respectively 37.42%(1 184/3 164) and 60.37%(1 910/3 164); (3) Trialed implementation of these autoverification rules on 77 269 coagulation samples showed that the average TAT shortened by 8.5 min-83.1 min.Conclusions:This study established 33 autoverification rules in coagulation tests. Validation showedthese rules could ensure test quality while shortening TAT and lighten manual workload.

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome

BACKGROUND: Gestational diabetes mellitus (GDM) is usually diagnosed between 24th and 28th gestational week using the 75-g oral glucose tolerance test (OGTT). It is difficult to predict GDM before 24th gestational week because fast plasma glucose (FPG) decreases as the gestational age increases. It is controversial that if FPG ≥5.1 mmol/L before 24th gestational week should be intervened or not. The aim of this study was to evaluate the value of FPG to screen GDM before 24th gestational week in women with different pre-pregnancy body mass index (BMI). METHODS: This was a multi-region retrospective cohort study in China. Women who had a singleton live birth between June 20, 2013 and November 30, 2014, resided in Beijing, Guangzhou and Chengdu, and received prenatal care in 21 selected hospitals, were included in this study. Pre-pregnancy BMI, FPG before the 24th gestational week, and one-step GDM screening with 75 g-OGTT at the 24th to 28th gestational weeks were extracted from medical charts and analyzed. The pregnant women were classified into four groups based on pre-pregnancy BMI: Group A (underweight, BMI < 18.5 kg/m), Group B (normal, BMI 18.5-23.9 kg/m), Group C (overweight, BMI 24.0-27.9 kg/m) and Group D (obesity, BMI ≥28.0 kg/m). The trend of FPG before 24th week of gestation was described, and the sensitivity and specificity of using FPG before the 24th gestational week to diagnose GDM among different pre-pregnancy BMI groups were reported. Differences in the means between groups were evaluated using independent sample t-test and analysis of variance. Pearson Chi-square test was used for categorical variables. RESULTS: The prevalence of GDM was 20.0% (6806/34,087) in the study population. FPG decreased gradually as the gestational age increased in all pre-pregnancy BMI groups until the 19th gestational week. FPG was higher in women with higher pre-pregnancy BMI. FPG before the 24th gestational week and pre-pregnancy BMI could be used to predict GDM. The incidence of GDM in women with FPG ≥5.10 mmol/L in the 19th to 24th gestational weeks and pre-pregnancy overweight or obesity was significantly higher than that in women with FPG ≥5.10 mmol/L and pre-pregnancy BMI <24.0 kg/m (78.5% [62/79] vs. 52.9% [64/121], χ = 13.425, P < 0.001). CONCLUSIONS FPG decreased gradually as the gestational age increased in all pre-pregnancy BMI groups until the 19th gestational week. Pre-pregnancy overweight or obesity was associated with an increased FPG value before the 24th gestational week. FPG ≥5.10 mmol/L between 19 and 24 gestational weeks should be treated as GDM in women with pre-pregnancy overweight and obesity.
Adult ; Blood Glucose ; analysis ; Body Mass Index ; Diabetes, Gestational ; blood ; diagnosis ; epidemiology ; Fasting ; blood ; Female ; Gestational Age ; Glucose Tolerance Test ; Humans ; Incidence ; Pregnancy ; Prevalence ; ROC Curve ; Retrospective Studies