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OBJECTIVES@#To evaluate curative effects of coronavirus disease 2019 (COVID-19) patients by the transfusion of other convalescent plasma.@*METHODS@#Retrospective analysis of the clinical data of 18 patients with severe and critical COVID-19, who were hospitalized in the ICU of Xianghu Branch of the First Affiliated Hospital of Nanchang University from February 1 to March 15, 2020. Patients were subdivided into an experimental group (=6, who had transfused the plasma) and an observation group (=12, who had no plasma transfusion). Basic clinical data and prognosis indexes of these two groups were compared. Moreover, for the experimental group, the dynamic changes of blood oxygen saturation before and after the transfusion, the changes of lymphocyte absolute value 48 hours after the transfusion, and the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleic acid were analyzed.@*RESULTS@#There were no significant differences in age, gender, blood type and other basic clinical data between the two groups (all >0.05).There were no significant differences in ventilator machine weaning time, extracorporeal membrane oxygenation (ECMO) weaning time, body temperature recovery to normal time, and hospitalization days between these two groups (all >0.05). For the experimental group, before, during and after the convalescent plasma transfusion, the blood oxygen saturation of all 6 patients at all time (1, 6, 8, 12, 24, 36, and 48 h) was more than 90%, and there was no significant fluctuation. There were 3 patients whose absolute value of lymphocyte was increased 48 hours after the transfusion, and the remaining was decreased. There were 5 patients whose SARS-CoV-2 nucleic acid detection turned negative 48 hours after the transfusion, accounting for 83.3%.@*CONCLUSIONS@#Transfusion of convalescent plasma will not affect outcomesof COVID-19 patients, which can neutralize SARS-CoV-2 in patients and reduce the loading capacity of SARS-CoV-2.
Subject(s)
Humans , Betacoronavirus , Blood Component Transfusion , China , Coronavirus Infections , Therapeutics , Immunization, Passive , Pandemics , Plasma , Pneumonia, Viral , Therapeutics , Retrospective StudiesABSTRACT
Objective To analyze the results of detection of infectious indicators of patients from the first affiliated hospital of Nanjing Medical University in recent 5 years ,and to provide a scientific basis for the control and prevention of infectious diseases . Methods The patients with clinical data from January 2010 to April 2014 were retrospectively analyzed ,then the infectious indica‐tors of all the subjects were detected and analyzed .Results HIV positive rate was between 0 .043% to 0 .061% ,positive rate of HCV was between 1 .07 to 1 .41% ,positive rate of TP was between 2 .01% to 2 .17% .HBsAg positive rate in 2010 was 8 .36% ,the positive rate was 7 .81% in 2014 .HBsAb positive rate in 2010 was 35 .36% ,positive rate was 50 .96% in 2014 .Conclusion Effec‐tively cut off the route of transmission could prevent the further spread of infectious disease .
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Objectives To evaluate the effect of the positive psychology intervention on SWB in elderly patients with chronic obstructive pulmonary disease(COPD).Methods A total of 108 patients with COPD were divided into control group and intervention group according to the principle of control matches,with 54 patients in each group.Patients in intervention group received a period of three months of positive psychology oriented psychological journal ,patients in control group were blank.Before and after the intervention,both groups of patients were assessed by Memorial University of Newfoundland Scale of Happiness (MNusH) and 12 General Health Questionnaire (GHQ-12),and used t tests andx2 test to compare two groups of patients,as well as the intervention group itself differences.Results After the intervention,the score of MNusH in the intervention group was (35.8 ± 8.3),which was significant higher than that of in the control group,t=7.110,P ＜0.05.The scores of positive emotion and positive experience of MNusH Scale of patients in intervention group were higher than control group,the scores of negative emotions and negative experience of patients in intervention group were lower than control group,the difference was statistically significant,t value was 3.269,6.878,8.156 and 7.801respectively,P ＜0.05.The intervention significantly reduced the incidence of psychological disorder of patients,x2=42.335,P＜0.05.Conclusion Positive psychology interventions can effectively improve negative emotions of the elderly hospitalized COPD patients,improve SWB of the elderly patients with COPD.
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Objective To study the impacts of pre-pregnancy maternal BMI and gestational weight gain(GWG)on pregnancy outcomes. Methods We adopted a prospective cohort study with cluster sampling in single pregnant women,who were not with hypertension,diabetes,hyperlipidemia or other diseases in the previous history,neither did they have diseases of heart,liver,kidney,thyroid etc. related to current pregnancy. Those pregnant women who visited the prenatal nutrition clinic under‘informed consent’were surveyed with questionnaire to track their peri-natal complications,delivery mode and neonate birth outcomes etc. Pearson and partial correlations,chi-square test and binary logistic regression were used to study the association between pre-pregnancy maternal BMI,GWG and pregnancy outcomes. Results A total of 623 pregnant women were recruited in the cohort,with 592(95%)of them eligible for analysis. Results from the Multivariate Logistic Regression analysis indicated that,after controlling the potential confounding factors,when compared to women with pre-pregnancy BMI between 18.5 and 24.0,the odds ratios(ORs)for low birth ponderal index(PI) were 2.34[95%confidence interval(CI),1.24-4.42)]among those with BMI<18.5,respectively,while 2.73(1.12-6.68)for high birth PI among those with BMI>24.0. Similarly,when compared to pregnant women with normal GWG(defined as weight gain range from P15 to P85 by stratification of pre-pregnancy BMI),low GWG(<P15)seemed to be the risk factor for preterm birth,low birth weight,gestational diabetes mellitus,with low birth PI [ORs as 4.85(1.35-17.51),10.30 (2.29-46.35),2.29(1.07-4.93) and 2.65(1.24-5.68),respectively. High GWG(>P85)appeared the risk factor for high birth weight,high birth PI,and gestational diabetes mellitus,with ORs as 3.83(1.74-8.44),2.39(1.14-5.01) and 2.21(1.07-4.55),respectively. Conclusion Low or high pre-pregnancy maternal BMI and GWG were associated with adverse pregnancy outcomes.
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Objective To study the impacts of pre-pregnancy maternal BMI and gestational weight gain(GWG)on pregnancy outcomes. Methods We adopted a prospective cohort study with cluster sampling in single pregnant women,who were not with hypertension,diabetes,hyperlipidemia or other diseases in the previous history,neither did they have diseases of heart,liver,kidney,thyroid etc. related to current pregnancy. Those pregnant women who visited the prenatal nutrition clinic under‘informed consent’were surveyed with questionnaire to track their peri-natal complications,delivery mode and neonate birth outcomes etc. Pearson and partial correlations,chi-square test and binary logistic regression were used to study the association between pre-pregnancy maternal BMI,GWG and pregnancy outcomes. Results A total of 623 pregnant women were recruited in the cohort,with 592(95%)of them eligible for analysis. Results from the Multivariate Logistic Regression analysis indicated that,after controlling the potential confounding factors,when compared to women with pre-pregnancy BMI between 18.5 and 24.0,the odds ratios(ORs)for low birth ponderal index(PI) were 2.34[95%confidence interval(CI),1.24-4.42)]among those with BMI<18.5,respectively,while 2.73(1.12-6.68)for high birth PI among those with BMI>24.0. Similarly,when compared to pregnant women with normal GWG(defined as weight gain range from P15 to P85 by stratification of pre-pregnancy BMI),low GWG(<P15)seemed to be the risk factor for preterm birth,low birth weight,gestational diabetes mellitus,with low birth PI [ORs as 4.85(1.35-17.51),10.30 (2.29-46.35),2.29(1.07-4.93) and 2.65(1.24-5.68),respectively. High GWG(>P85)appeared the risk factor for high birth weight,high birth PI,and gestational diabetes mellitus,with ORs as 3.83(1.74-8.44),2.39(1.14-5.01) and 2.21(1.07-4.55),respectively. Conclusion Low or high pre-pregnancy maternal BMI and GWG were associated with adverse pregnancy outcomes.
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<p><b>OBJECTIVE</b>To study the impacts of pre-pregnancy maternal BMI and gestational weight gain(GWG) on pregnancy outcomes.</p><p><b>METHODS</b>We adopted a prospective cohort study with cluster sampling in single pregnant women, who were not with hypertension, diabetes, hyperlipidemia or other diseases in the previous history, neither did they have diseases of heart, liver, kidney, thyroid etc. related to current pregnancy. Those pregnant women who visited the prenatal nutrition clinic under 'informed consent' were surveyed with questionnaire to track their peri-natal complications, delivery mode and neonate birth outcomes etc. Pearson and partial correlations, chi-square test and binary logistic regression were used to study the association between pre-pregnancy maternal BMI, GWG and pregnancy outcomes.</p><p><b>RESULTS</b>A total of 623 pregnant women were recruited in the cohort, with 592 (95%) of them eligible for analysis. Results from the Multivariate Logistic Regression analysis indicated that, after controlling the potential confounding factors, when compared to women with pre-pregnancy BMI between 18.5 and 24.0, the odds ratios (ORs) for low birth ponderal index (PI) were 2.34 [95% confidence interval (CI), 1.24-4.42)]among those with BMI<18.5, respectively, while 2.73 (1.12-6.68) for high birth PI among those with BMI > 24.0. Similarly, when compared to pregnant women with normal GWG(defined as weight gain range from P15 to P85 by stratification of pre-pregnancy BMI), low GWG (<P15) seemed to be the risk factor for preterm birth, low birth weight, gestational diabetes mellitus, with low birth PI [ORs as 4.85(1.35-17.51), 10.30 (2.29-46.35), 2.29 (1.07-4.93) and 2.65(1.24-5.68), respectively. High GWG (>P 85)appeared the risk factor for high birth weight, high birth PI, and gestational diabetes mellitus, with ORs as 3.83(1.74-8.44), 2.39(1.14-5.01)and 2.21(1.07-4.55), respectively.</p><p><b>CONCLUSION</b>Low or high pre-pregnancy maternal BMI and GWG were associated with adverse pregnancy outcomes.</p>