Animals ; Athletic Performance ; Drugs, Chinese Herbal ; pharmacology ; Free Radicals ; metabolism ; Male ; Mice ; Mice, Inbred Strains ; Morinda ; Myocardium ; metabolism ; Physical Conditioning, Animal

OBJECTIVES: To assess the growth of preterm infants up to a corrected age of 24 months, and to understand the growth trend and pattern of preterm infants. METHODS: A preterm infant follow-up database was established based on the Internet Plus follow-up system. A total of 3 188 preterm infants who were born from April 2018 to April 2021 were enrolled. Their length, weight, and head circumference were recorded at birth and at the corrected ages of 1, 3, 6, 12, 18, and 24 months. The preterm infants were grouped by perinatal factors. The growth curves of these infants were plotted and compared with the International Fetal and Newborn Growth Consortium for the 21st Century (INTERGROWTH-21st) standard and World Health Organization (WHO) standard. RESULTS: The weight, length, and head circumference curves of each group of preterm infants grouped by various perinatal factors all rose rapidly within the corrected age of 6 months, but the growth rate slowed down after the corrected age of 6 months. Based on the actual age for the groups of preterm infants with different gestational ages (<28 weeks, 28-31 CONCLUSIONS The physical growth rate of preterm infants is faster within the corrected age of 6 months, and the growth rate slows down after the corrected age of 6 months. Preterm infants with a smaller gestational age need longer time to catch up in weight and head circumference. More attention should be paid to the physical growth of extremely preterm infants, extremely low birth weight infants, and small-for-gestational-age infants.
Cephalometry ; Child, Preschool ; Female ; Gestational Age ; Humans ; Infant ; Infant, Extremely Low Birth Weight ; Infant, Newborn ; Infant, Premature ; Infant, Small for Gestational Age ; Pregnancy

BACKGROUND: We examined changes in hepatitis B core-related antigen (HBcrAg) during the four sequential phases of chronic hepatitis B virus (HBV) infection: hepatitis B e antigen (HBeAg)-positive chronic infection (EPCI) and hepatitis (EPCH), followed by HBeAg-negative chronic infection (ENCI) and hepatitis (ENCH). We compared the performance of serum HBcrAg, hepatitis B surface antigen (HBsAg), and HBV DNA in predicting EPCH and ENCH. METHODS: We enrolled 492 consecutive patients: 49 with EPCI, 243 with EPCH, 101 with ENCI, and 99 with ENCH. HBcrAg was detected by chemiluminescent enzyme immunoassays. HBsAg and HBeAg were detected by chemiluminescent microparticle immunoassays. HBV DNA was detected by real-time PCR. Predictive performance of HBcrAg, HBsAg, and HBV DNA was evaluated using ROC curves. RESULTS: Areas under ROC curves (AUCs) of HBcrAg, HBsAg, and HBV DNA for predicting EPCH were 0.738, 0.812, and 0.717, respectively; optimal cutoffs were ≤1.43×105 kU/mL, ≤1.89×104 IU/mL, and ≤3.97×107 IU/mL, with sensitivities and specificities of 66.3% and 77.6%, 65.0% and 93.9%, and 60.5% and 79.6%, respectively. AUCs of HBcrAg, HBsAg, and HBV DNA for predicting ENCH were 0.887, 0.581, and 0.978, respectively; optimal cutoffs were >26.8 kU/mL, >2.29×102 IU/mL, and >8.75×103 IU/mL, with sensitivities and specificities of 72.7% and 95.1%, 86.9% and 39.6%, and 89.9% and 92.1%, respectively. CONCLUSIONS: HBsAg and HBV DNA were the best predictors of EPCH and ENCH, respectively. HBcrAg is an important surrogate marker for predicting EPCH and ENCH.
Area Under Curve ; Biomarkers ; DNA ; Hepatitis B e Antigens ; Hepatitis B Surface Antigens* ; Hepatitis B virus* ; Hepatitis B* ; Hepatitis B, Chronic ; Hepatitis* ; Hepatitis, Chronic* ; Humans ; Immunoassay ; Immunoenzyme Techniques ; Real-Time Polymerase Chain Reaction ; ROC Curve

BACKGROUNDUnregulated commercial blood/plasma collection among farmers occurred between 1992 and 1995 in central China and caused the second major epidemic of human immunodeficiency virus type 1 (HIV-1) infection in China. It is important to characterize HIV-1-infected former blood donors and to study characteristics associated with disease progression for future clinical intervention and vaccine development.

METHODSA cross-sectional study was performed on HIV-1-infected former blood donors (FBDs) and age-matched HIV-seronegative local residents. Demographic, epidemiologic, clinical and key laboratory data were collected from all study participants. Both unadjusted and adjusted multivariate linear regressions were employed to analyze the association of the decrease of CD4(+) T-cell counts with other characteristics.

RESULTSTwo hundred and ninety-four HIV-1-infected FBDs and 59 age-matched HIV-seronegative local residents were enrolled in this study. The unregulated blood/plasma collection occurred more than a decade (10.8 - 12.8 years) ago, which caused the rapid spread of HIV-1 infection and the high prevalence of co-infection with hepatitis C virus (HCV, 89.5%); hepatitis B virus (HBV) co-infection was observed in only 11 HIV(+)participants (3.7%). Deterioration in both clinical manifestation and laboratory parameters and increase of viral loads were observed in parallel with the decrease of CD4(+) T-cell counts. The decrease of total lymphocyte counts (P < 0.001) and hemoglobin levels (P < 0.001) and the appearance of dermatosis (P = 0.03) were observed in parallel with the decrease of CD4(+) T-cell counts whereas viral loads (P < 0.001) and CD8(+) T-cell counts (P = 0.01) were inversely associated with CD4(+) T-cell counts.

CONCLUSIONSCo-infection with HCV but not HBV is highly prevalent among HIV-1-infected FBDs. CD4(+) T-cell counts is a reliable indicator for disease progression among FBDs. Total lymphocyte counts, hemoglobin level and appearance of dermatosis were positively associated with CD8(+) T-cell counts and viral loads were inversely associated with the decreased CD4(+) T-cell counts.

Adult ; Aged ; Blood Donors ; China ; epidemiology ; Cross-Sectional Studies ; Female ; HIV Infections ; complications ; epidemiology ; immunology ; HIV-1 ; Hepatitis C ; complications ; Humans ; Male ; Middle Aged

OBJECTIVES: To investigate the levels of physical growth and neurodevelopment in preterm infants at the corrected age of 18-24 months. METHODS: The physical growth data and neurodevelopment data of 484 preterm infants at corrected age of 18-24 months were prospectively collected by a post-discharge follow-up system for preterm infants. The infants were regularly followed up in Shenzhen Bao'an Maternal and Child Health Hospital Affiliated to Jinan University from April 2018 to December 2021. The neurodevelopment was evaluated by the Children Neuropsychological and Behavioral Scale-Revision 2016. A total of 219 full-term infants served as controls. The infants were divided into groups (extremely preterm, very preterm, moderate late preterm, and full-term) based on gestational age, and the groups were compared in the levels of physical growth and neurodevelopment. RESULTS: Except that the moderate preterm group had a higher length-for-age Z-score than the full-term group (P=0.038), there was no significant difference in physical growth indicators between the preterm groups and the full-term group (P>0.05). Each preterm group had a significantly lower total developmental quotient (DQ) than the full-term group (P<0.05). Except for the social behavior domain, the DQ of other domains in the extremely preterm and very preterm groups was significantly lower than that in the full-term group (P<0.05). The <32 weeks preterm group had a significantly higher incidence rate of global developmental delay than the full-term group (16.7% vs 6.4%, P=0.012), and the incidence rate of global developmental delay tended to increase with the reduction in gestational age (P=0.026). CONCLUSIONS Preterm infants can catch up with full-term infants in terms of physical growth at the corrected age of 18-24 months, but with a lower neurodevelopmental level than full-term infants. Neurodevelopment monitoring and early intervention should be taken seriously for preterm infants with a gestational age of <32 weeks.
Infant ; Child ; Infant, Newborn ; Humans ; Child, Preschool ; Infant, Premature ; Aftercare ; Patient Discharge ; Gestational Age

Objective To understand the current research focus and trends in the field of snail intestinal flora. Methods The literature focusing on snail intestinal flora and published from 1998 to 2017 were retrieved from the core database of Web of Science. The quantitative analysis of literature was then conducted by using CiteSpace software based on the bibliometricsmethod.The research trends were then summarized systematically, and the potential research fronts and focuses were explored. Results Totally 139 articles were identified in the field of snail intestinal flora. The top three countries with highest publications included the United States of American, Brazil, and South Korea; while the top three institutions were Kyung Hee University, Osvaldo Cruz Foundation, and Oxford University. Five terms were identified as the key words in this field, including diversity, cellulose, Achatina fulica, lignocelluloses, and species nova. Meanwhile, 5 critical papers with the citation frequency over 15 were recognized, and 5 study clusters were formed including the application, diversity, and function of intestinal flora, difference of snail source and flora, and newly discovered bacteria in the snail intestine. Conclusion The current research focuses on intestinal flora of snails include the diversity, function and application of intestinal flora.

Objective: To assess the prevalence, risk factors and treatment of anemia in patients with chronic kidney disease (CKD). Methods: A descriptive method was used to analyze the prevalence and treatment of anemia in CKD patients based on regional health data in Yinzhou District of Ningbo during 2012-2018. The multivariate logistic regression analysis was used to identify independent influence factors of anemia in the CKD patients. Results: In 52 619 CKD patients, 15 639 suffered from by anemia (29.72%), in whom 5 461 were men (26.41%) and 10 178 were women (31.87%), and anemia prevalence was higher in women than in men, the difference was significant (P<0.001). The prevalence of anemia increased with stage of CKD (24.77% in stage 1 vs. 69.42% in stage 5, trend χ² test P<0.001). Multivariate logistic regression analysis revealed that being women (aOR=1.57, 95%CI: 1.50-1.63), CKD stage (stage 2: aOR=1.10, 95%CI: 1.04-1.16;stage 3: aOR=2.28,95%CI: 2.12-2.44;stage 4: aOR=4.49,95%CI :3.79-5.32;stage 5: aOR=6.31,95%CI: 4.74-8.39), age (18-30 years old: aOR=2.40,95%CI: 2.24-2.57, 61-75 years old: aOR=1.35,95%CI:1.28-1.42, ≥76 years old: aOR=2.37,95%CI:2.20-2.55), BMI (<18.5 kg/m²:aOR=1.29,95%CI: 1.18-1.41;23.0-24.9 kg/m²:aOR=0.79,95%CI: 0.75-0.83;≥25.0 kg/m²:aOR=0.70,95%CI: 0.66-0.74), abdominal obesity (aOR=0.91, 95%CI: 0.86-0.96), chronic obstructive pulmonary disease (aOR=1.15, 95%CI: 1.09-1.22), cancer (aOR=3.03, 95%CI: 2.84-3.23), heart failure (aOR=1.44, 95%CI: 1.35-1.54) and myocardial infarction (aOR=1.54, 95%CI:1.16-2.04) were independent risk factors of anemia in CKD patients. Among stage 3-5 CKD patients with anemia, 12.03% received iron therapy, and 4.78% received treatment with erythropoiesis-stimulating agent (ESA) within 12 months after anemia was diagnosed. Conclusions: The prevalence of anemia in CKD patients was high in Yinzhou. However, the treatment rate of iron therapy and ESA were low. More attention should be paid to the anemia management and treatment in CKD patients.