Objective To investigate the correlations of short-term prognosis and B-type natriuretic peptide(BNP) of no heart disease patients in ICU.Methods Sixty patients of critically ill in our ICU ward from March 2010 to March 2012 were taken scores of acute physiology and chronic health Ⅱ scoring system (APACHE Ⅱ score) and determination serum BNP level in 24 hours of admission and analysis mortality in hospital time,mechanical ventilation time and other major prognostic indicators.Results Forty-two cases were living,18 cases were dead in the 60 cases (mortality rate 30％).APACHE Ⅱ score (26.46 ± 11.6) and serum BNP concentrations(2154.26 ± 1126.49) ng/L were significantly higher in death cases than in living cases (13.45 ± 4.20) vs.(1058.16 ± 857.83) ng/L (t =6.4055,4.1190,P ＜ 0.001),mechanical ventilation time mortality rate both also increase with BNP levels (F =49.089,22.754,36.398 respectively,P ＜ 0.001).Conclusion BNP level and APACHE Ⅱ score rise of survival of critically ill patients have important prognostic significance with duration of mechanical ventilation,length of hospital stay prognostic indicators forecast.

Objective:The study was planned to evaluate the clinical utility of microcytic anemia factor (MAF) and low hemoglobin density (LHD%) in the screening of iron deficiency in blood donors.Methods:A total of 400 blood donors, 200 male and 200 female, were randomly admitted to Fujian Blood Center from January1, 2022 to February 28, 2022 by the way of stratified sampling. According to the fourth edition of Diagnostic and therapeutic criteria for hematological diseases, the patients were divided into three groups: normal group (N=299), iron depletion group (ID, n=54) and iron deficient erythropoiesis group (IDE, n=47), Blood routine indexes including hemoglobin (HGB), mean corpuscular volume hemoglobin (MCV), mean corpuscular hemoglobin content (MCH), mean corpuscular hemoglobin concentration (MCHC) and iron metabolism indexes including serum ferritin (SF), serum iron (SI), total iron binding capacity (TIBC), transferrin saturation (TS) and unsaturated iron binding capacity (UIBC) were measured, MAF and LHD% were calculated by formula.One-way ANOVA or Kruskal-Wallis H tests were used to analyze the differences among three groups. Spearman correlation analysis was used to analyze the correlation between MAF and LHD% and iron metabolism indexes.The Receiver Operating Characteristic (ROC) curve was used to evaluated the diagnostic value of MCH, MCHC, MAF and LHD% for iron deficiency in blood donors. Results:MAF in ID group which was 11.81±0.81 were higher than the IDE group which was 10.69±0.95 and lower than the healthy group which was 13.17±1.24, the total difference among the three groups was statistically significant ( F=110.784, P<0.001), the difference between two groups was statistically significant ( P<0.01); LHD% in ID group which was 2.61 (1.87, 3.91)% were lower than the IDE group which was5.60(2.99, 8.02)% and higher than the healthy group which was1.74 (1.22, 2.73)%, the total difference among the three groups was statistically significant ( H=62.166, P<0.001), the difference between two groups was statistically significant ( P<0.01).In 101 iron deficiency blood donors, Spearman correlation analysis showed that MAF was positively correlated with SF, SI and TS ( r=0.426, P<0.01; r=0.547, P<0.01; r=0.566, P<0.01);contrarily, LHD% was negatively correlated with SF, SI and TS ( r=-0.397, P<0.01; r=-0.400, P<0.01; r=-0.479, P<0.01).The areas under the ROC curve of MCH, MCHC, MAF and LHD% diagnostic ID were 0.745, 0.646, 0.819 and 0.646, respectively;the cut-off value of MAF was 12.56, with a sensitivity of 67.90% and a specificity of 83.30%.While the areas under the ROC curve of MCH, MCHC, MAF and LHD% diagnostic IDE were 0.901, 0.834, 0.941 and 0.834, respectively; the cut-off value of MAF was 11.73, with a sensitivity of 87.60% and a specificity of 87.20%. Conclusions:MAF performed a high diagnostic value of iron deficiency, especially IDE, and can be used as a marker in the diagnosis of iron deficiency in blood donors.

【Objective】 To investigate the variation of hematological parameters in male plateletpheresis donors. 【Methods】 A total of 194 male plateletpheresis donors from Fujian Blood Center were divided into two groups according to the frequency of blood donation: Group 1 (n=107), with the number of plateletpheresis donation less than or equal to 12 per year; Group 2 (n=87), with the number of plateletpheresis donation more than 12 per year. Serum ferritin (SF) and related iron metabolism indexes, red blood cell count (RBC), hemoglobin (Hb), hematocrit(Hct), platelet count (Plt) and other blood routine indexes, as well as percentage of reticulocyte counts (RET%), immature reticulocyte fraction(IRF) and other reticulocyte indexes were measured before blood donation and analyzed by statistical methods. 【Results】 Compared with Group 2, the RBC, Hb, Hct, SF in Group 1 were significantly higher, while Plt, RET%and IRF were significantly lower(P<0.05), and the probability of ferritin decrease in Group 1 was lower, with significant difference(P<0.05). 【Conclusion】 As the number of donation increased, male plateletpheresis donors were prone to iron deficiency, and the bone marrow hematopoiesis were obviously enhanced. We should be more concerned about male plateletpheresis donors who donated more than 12 times per year, further more, SF monitoring should be conducted and the blood donation interval should be appropriately extended.

Objective To understand the relationship between perinatal factors and congenital hypothyroidism(CH)and provide scientific evidence for the prevention of CH. Methods A case-control study was conducted among 125 neonates with CH (case group) and 375 neonates without CH(control group)in Fujian Neonatal Screening Center from January in 2012 to December in 2013. Univariate and multivariate logistic regression analysis were performed to identify the risk factors to CH during perinatal period. Results Univariate logistic regression analysis indicated that compared with control group,gestational hypertension,gestational diabetes mellitus,gestational thyroid disease and older age of mother were the risk factors to CH,the difference was statistically significant (P<0.05) and the risk of CH was higher in female babies,preterm babies,post-term babies low birth weight babies,macrosomia,twins,babies with birth defects and infection in cases group than those in control group,the difference was statistically significant (P<0.05). Multivariate logistic analysis showed that older age of mother(OR=2.518,95%CI:1.186-5.347), gestational diabetes mellitus(OR=1.904,95%CI:1.190-3.045),gestational hypothyroidism or hyperthyroidism(OR=12.883 and 30.797,95%CI:2.055-80.751 and 3.309-286.594),preterm birth (OR=4.238,95%CI:1.269-14.155),and post-term birth(OR=12.799,95%CI:1.257-130.327),low birth weight(OR=3.505,95%CI:1.059-11.601),macrosomia(OR=3.733,95%CI:1.415-9.851), twin or multiparous delivery(OR=5.493,95%CI:1.701-17.735),birth defects(OR=3.665,95%CI:1.604-8.371)and fetal distress(OR=3.130,95%CI:1.317-7.440)were the high risk factors to CH (P<0.05). Conclusion CH was correlated with mother’s age,gestational diabetes,gestational thyroid disease as well as neonate’s birth weight and gestational age,foetus number,fetal distress and other complicated birth defects at certain degree. More attention should be paid to perinatal care to reduce risk factors and the incidence of CH.

Objective To analyze the influencing factors of disaster resilience in medical rescue workers,to construct a prediction model for the low-level risk of disaster resilience in medical rescue workers,and to verify the predictive effect of the model.Methods Using the convenience sampling method and the snowball method,1 037 medical rescue workers who participated in disaster rescue in 18 provinces(autonomous regions and municipalities)were selected as the participants from May to July 2022.Online questionnaire surveys were conducted using general information questionnaires,disaster resilience measuring tools for healthcare rescuers,the Mindful Attention Awareness Scale,the Simple Coping Style Questionnaire and the Depression-Anxiety-Stress Scale.Univariate and multivariate logistic regression analyses were used to determine the independent influencing factors for the low level of disaster resilience of medical rescue workers.A risk prediction model was constructed,and a nomogram chart was drawn.The model's effectiveness was evaluated using the receiver operating characteristic curve(ROC)and calibration curve.The Bootstrap method was applied for internal validation.Results The logistic regression analysis showed that per capita monthly income of households,whether to participate in on-site disaster rescue,positive coping,mindfulness level,and adequacy of rescue supplies were independent influencing factors for the disaster resilience of medical rescue workers(P＜0.05).The predictive formula for the low-level risk of disaster resilience in medical rescue workers was established as follows:Logit(P)=8.741-0.381 x per capita monthly income of households-0.891 x whether to participate in on-site disaster rescue-2.544 x positive coping-0.020 x mindfulness level-0.222 x adequacy of rescue supplies.The area under the ROC curve was 0.823,and the optimal critical value was 0.353.The sensitivity and specificity were 79.12％and 71.43％,respectively.The Hosmer-Lemeshow test showed that x2=12.250(P=0.140),and the predicted curve fitted well with the ideal curve.The external validation showed that the sensitivity and specificity of the model were 75.00％and 66.39％,respectively,and the overall accuracy was 69.95％.Conclusion The prediction model in this study has sound predictive effects and can provide references and guidance for managers to select,recruit,and train medical rescue workers.

OBJECTIVE：To investi gate the potential mechanism of couplet medicine of Cuscutae Semen-Lycii Fructus in the treatment of premature ovarian failure. METHODS ：Main active components and related targets of couplet medicine of Cuscutae Semen-Lycii Fructus in the treatment of premature ovarian failure were obtained from TCMSP ，GeneCards and OMIM database. The intersection genes between them were screened using Venn online tool. Cytoscape 3.7.0 software was adopted to establish the active ingredients-target network and the PPI network. GO and KEGG pathway enrichment analysis on intersection genes were carried out by DAVID database. Finally ，an active component-target-key pathway network was constructed. RESULTS ：Totally 42 active components ，231 and 1 913 targets for active components and disease were obtained from couplet medicine of Cuscutae Semen-Lycii Fructus. The components with high node degree included quercetin ，kaempferol，β-sitosterol，isorhamnetin，glycitein， stigmasterol and sesamin ，etc. There were 149 intersection genes between the active component targets and premature ovarian failure targets. PPI network contained 149 nodes and 2 970 edges，with an average node degree of 39.9 and an average medium of 0.005 4. The results of GO analysis showed that molecule function of the above-mentioned genes mainly involved protein binding ， enzyme binding ，etc. Biological process mainly included that positive regulatio n of transcription from RNA polymerase Ⅱ promoter，positive regulation of transcription DNA-templated ， Cell components mainly included nucleus ，cytoplasm，etc. Signaling pathway mainly involved cancer signaling pathway ， hepatitis B signling pathway ，PI3K/AKT signaling pathway ， MAPK signaling pathway ， etc. The results of active 617693370@qq.com component-target-key pathway network showed that active components of Cuscutae Semen and Lycii Fructus were flavonoids and alcohols ；key target included AKT 1，TP53， VEGFA，IL6，TNF，etc. Signaling pathway mainly involved cancer signaling pathway ，hepatitis B signaling pathway ，PI3K/AKT signaling pathway ，MAPK signaling pathway ，etc. CONCLUSIONS ：Through PI 3K/AKT signaling pathway and MAPK signaling pathway，the active components of couplet medicine of Cuscutae Semen-Lycii Fructus may act on AKT 1，TP53 and other targets ， and then play a therapeutic role on premature ovarian failure. The Potential active components stigmasterol ，sesamin and potential targets IL 6，TNF were found.

OBJECTIVETo understand the relationship between perinatal factors and congenital hypothyroidism (CH) and provide scientific evidence for the prevention of CH.

METHODSA case-control study was conducted among 125 neonates with CH (case group) and 375 neonates without CH (control group) in Fujian Neonatal Screening Center from January in 2012 to December in 2013. Univariate and multivariate logistic regression analysis were performed to identify the risk factors to CH during perinatal period.

RESULTSUnivariate logistic regression analysis indicated that compared with control group, gestational hypertension, gestational diabetes mellitus, gestational thyroid disease and older age of mother were the risk factors to CH, the difference was statistically significant (P < 0.05) and the risk of CH was higher in female babies, preterm babies, post-term babies low birth weight babies, macrosomia, twins, babies with birth defects and infection in cases group than those in control group, the difference was statistically significant (P < 0.05). Multivariate logistic analysis showed that older age of mother (OR = 2.518, 95% CI: 1.186-5.347), gestational diabetes mellitus (OR = 1.904, 95% CI: 1.190-3.045), gestational hypothyroidism or hyperthyroidism (OR = 12.883 and 30.797, 95% CI: 2.055-80.751 and 3.309-286.594), preterm birth (OR = 4.238, 95% CI: 1.269-14.155), and post-term birth (OR = 12.799, 95% CI: 1.257-130.327), low birth weight (OR = 3.505, 95% CI: 1.059-11.601), macrosomia (OR = 3.733, 95% CI: 1.415-9.851), twin or multiparous delivery (OR = 5.493, 95% CI: 1.701-17.735), birth defects (OR = 3.665, 95% CI: 1.604-8.371) and fetal distress (OR = 3.130, 95% CI: 1.317-7.440) were the high risk factors to CH (P < 0.05).

CONCLUSIONCH was correlated with mother's age, gestational diabetes, gestational thyroid disease as well as neonate's birth weight and gestational age, foetus number, fetal distress and other complicated birth defects at certain degree. More attention should be paid to perinatal care to reduce risk factors and the incidence of CH.

Birth Weight ; Case-Control Studies ; Congenital Hypothyroidism ; epidemiology ; Diabetes, Gestational ; epidemiology ; Female ; Gestational Age ; Humans ; Hypertension, Pregnancy-Induced ; epidemiology ; Incidence ; Infant, Newborn ; Infant, Premature ; Maternal Age ; Neonatal Screening ; Pregnancy ; Pregnancy Complications ; epidemiology ; Premature Birth ; Risk Factors ; Twins