Objective To investigate the dynamic changes and influencing factors of peripheral blood white blood cells (WBC), differential counts (DCs) and platelet (PLT) count in preterm infants to understand the changing characteristics of these blood parameters in preterm infants of different postnatal age, gestational age, and birth weight.Methods Totally 2 849 preterm infants admitted to the Department of Neonatology of Northwest Women's and Children's Hospital from November 30, 2011 to November 30, 2014 were retrospectively analyzed except for those diagnosed with infectious diseases, hematological system diseases, or immunologic diseases.All of the subjects were divided into seven groups based on their postnatal age, three groups based on gestational age and three groups based on birth weight, or male and female groups, respectively.Peripheral blood samples were obtained for determination of WBC, DCs and PLT.Statistical analysis was performed with oneway analysis of variance, t-test and Spearman linear correlation analysis.Results WBC, neutrophil (Ne), lymphocyte (Ly), monocyte (Mo), eosinophil (Eo), basophil (Ba) and PLT counts were significantly different among the seven groups of preterm babies of different postnatal age (F=172.00, 364.90, 34.88, 14.22, 80.82, 168.10 and 86.64, respectively, all P ＜ 0.01).WBC was found to be at the peak value within one day after birth [(18.40±6.87)× 109/L], followed by remarkable decrease in day ＞ 2-≤ 5 [(10.62±4.68)× 109/L], further gradual decrease thereafter, and then being stable in day ＞ 14-≤ 21 and ＞ 21 ≤≤ 30 [(10.54±3.09)× 109/L and (10.27 ± 3.70) × 109/L, respectively].PLT counts showed no significant change within one day after birth and in day ＞ 1-≤ 2 [(240.56± 63.54)× 109/L and (240.85 ± 71.47) × 109/L, respectively], then began to increase in day ＞ 2-≤ 5 [(249.21 ±80.55)× 109/L], peaked in day ＞ 7-≤ 14 [(339.11 ± 121.84)× 109/L], and decreased gently and became stable finally.The changing trends of Ne and Ly were cross and inverted in day ＞ 5-≤ 7.WBC, Ne, Ly, Mo, Eo, Ba and PLT counts of the preterm infants were all correlated with the postnatal age shown by Spearman linear correlation analysis (r=-0.46,-0.60, 0.18,-0.07, 0.33,-0.47 and 0.29, respectively, all P ＜ 0.01).With the increase of gestational age, WBC, Ne, Mo, and PLT counts increased, but Ly and Eo counts decreased.And all of the above showed significant difference (F=81.00, 124.49, 13.34, 18.35, 5.35 and 4.11, respectively, all P ＜ 0.05).While, the WBC, Ne, Mo, Ba and PLT counts showed positive relationship with the increase of birth weight (F=122.12, 133.09, 39.38, 13.77 and 21.24, respectively, all P ＜ 0.05).WBC, Ne and PLT counts of female infants were higher than those of male babies (t=l 6.35, 16.72 and 13.19, respectively, all P ＜ 0.05).Conclusions The peripheral WBC, DCs and PLT counts of preterm infants change dynamically with postnatal age with the remarkable variations on day ＞2-≤ 5 after birth and stable after 14 days of age.WBC, DCs and PLT counts might all be influenced by gestational age, birth weight and gender to some cxtend.

Objective:To study risk factors and clinical outcomes of nosocomial infection (NI) in extremely premature infants (EPIs).Methods:From January 2017 to December 2021, EPIs admitted to NICU of our hospital were retrospectively studied. The infants were assigned into NI group and non-NI group. The NI group were further assigned into survival group and death group. Single factor analysis was conducted using chi-square test, t-test and non-parametric test. Multiple logistic regression was used to analyze risk factors of NI and death.Results:A total of 115 cases were enrolled, including 67 (58.3%) in NI group, 54 in survival group and 12 in death group. One case gave up treatment. 48 cases were in non-NI group. 81 episodes of nosocomial infections occurred in NI group and the case infection rate was 70.4% (81/115). 48 cases (41.7%) had late-onset sepsis, 14 (12.2%) neonatal necrotizing enterocolitis, 13 (11.3%) pneumonia, 1 (0.9%) urinary tract infection and 1 (0.9%) thrush. Hemodynamic significant patent ductus arteriosus (hsPDA) and long duration of parenteral nutrition were independent risk factors for NI in EPIs ( P<0.05). The incidence of bronchopulmonary dysplasia (BPD) (100.0% vs. 70.8%) and mortality (17.9% vs. 2.1%) in NI group was higher than non-NI group ( P<0.05). Septic shock was an independent risk factor for the death due to NI. Conclusions:The incidence of NI in EPIs is high. hsPDA and long duration of parenteral nutrition are independent risk factors for NI in EPIs. EPIs with NI have high incidence of BPD and mortality and septic shock is an independent risk factor for death.

Objective:To develop a Cognitive Assessment Scale for Spinal Cord Injury (SCI) Rehabilitation and conduct reliability and validity tests in community-dwelling patients with SCI.Methods:Based on expectation value theory, social cognition theory, and goal setting theory, a Cognitive Assessment Scale for SCI Rehabilitation was developed through literature review, group discussions, patient trials, and expert verification. From February to December 2021, convenience sampling was used to select 231 community-dwelling patients with SCI as research subjects, including 67 community-dwelling patients with SCI who participated in rehabilitation training at Shanghai Sunshine Rehabilitation Center and 164 patients with SCI in the "Hope Home" WeChat group of Shanghai Sunshine Rehabilitation Center. Research subjects were surveyed using the Cognitive Assessment Scale for SCI Rehabilitation (patient version), 9-item depression scale of Patient Health Questionnaire, 7-item Generalized Anxiety Disorder Scale, EuroQol 5 Dimension-Visual Analogue Scale (EQ-VAS), General Self-Efficacy Scale, and general information questionnaire. SPSS 16.0 software and Amos 21.0 software were used for correlation analysis and reliability and validity testing.Results:The Cognitive Assessment Scale for SCI Rehabilitation (patient version) included two primary dimensions, eight secondary dimensions, and 24 items. The trial showed good results among patients with SCI and their caregivers, and experts generally agreed. Exploratory factor analysis found that the scale were divided into recognition dimension and understanding dimension. Cronbach's α coefficient of the scale was 0.98, the correlation coefficient between each item and its corresponding dimension was 0.75 to 0.88, and our results indicated good test-retest reliability. Correlation analysis showed that patient anxiety and depression scores were negatively correlated with rehabilitation cognitive scores ( P<0.05), and self-efficacy, quality of life were positively correlated with rehabilitation cognitive scores ( P<0.05) . Conclusions:The Cognitive Assessment Scale for SCI Rehabilitation is scientific and feasible, with good reliability and validity, and can be used to evaluate the rehabilitation cognition of community-dwelling patients with SCI.