Prediction of 3-Year Survival in Patients with Cognitive Impairment Based on Demographics, Neuropsychological Data, and Comorbidities: A Prospective Cohort Study.

OBJECTIVES: Based on readily available demographic data, neuropsychological assessment results, and comorbidity data, we aimed to develop and validate a 3-year survival prediction model for patients with cognitive impairment. METHODS: In this prospective cohort study, 616 patients with cognitive impairment were included. Demographic information, data on comorbidities, and scores of the Mini-Mental State Examination (MMSE), Instrumental Activities of Daily Living (IADL) scale, and Neuropsychiatric Inventory Questionnaire were collected. Survival status was determined via telephone interviews and further verified in the official death register in the third year. A 7:3 ratio was used to divide patients into the training and validation sets. Variables with statistical significance (p < 0.05) in the single-factor analysis were incorporated into the binary logistic regression model. A nomogram was constructed according to multivariate analysis and validated. RESULTS: The final cohort included 587 patients, of whom 525 (89.44%) survived and 62 (10.56%) died. Younger age, higher MMSE score, lower IADL score, absence of disinhibition, and Charlson comorbidity index score ≤ 1 were all associated with 3-year survival. These predictors yielded good discrimination with C-indices of 0.80 (0.73-0.87) and 0.85 (0.77-0.94) in the training and validation cohorts, respectively. According to the Hosmer-Lemeshow test results, neither cohort displayed any statistical significance, and calibration curves displayed a good match between predictions and results. CONCLUSIONS: Our study provided further insight into the factors contributing to the survival of patients with cognitive impairment. CLINICAL IMPLICATIONS: Our model showed good accuracy and discrimination ability, and it can be used at community hospitals or primary care facilities that lack sophisticated equipment.

Identification and Characterization of Extrachromosomal Circular DNA in Human Placentas With Fetal Growth Restriction.

Many studies have confirmed that extrachromosomal circular DNAs (eccDNAs/ecDNAs) exist in tumor and normal cells independently of the chromosome and are essential for oncogene plasticity and drug resistance. Studies have confirmed that there are many eccDNAs/ecDNAs in maternal plasma derived from the fetus. Fetal growth restriction (FGR) is a pregnancy-related disease associated with high newborn morbidity and mortality. However, the characteristics and nature of eccDNAs/ecDNAs in FGR are poorly understood. This study aims to deconstruct the properties and potential functions of eccDNAs/ecDNAs in FGR. We performed circle-seq to identify the expression profile of eccDNAs/ecDNAs, analyzed by bioinformatics, and verified by real-time Polymerase Chain Reaction (PCR) combined with southern blot in FGR compared with the normal groups. A total of 45,131 eccDNAs/ecDNAs (including 2,118 unique ones) were identified, which had significantly higher abundance in FRG group than in normal group, and was bimodal in length, peaking at ~146bp and ~340bp, respectively. Gestational age may be one independent factor affecting the production of eccDNAs/ecDNAs, most of which come from genomic regions with high gene density, with a 4~12bp repeat around the junction, and their origin had a certain genetic preference. In addition, some of the host-genes overlapped with non-coding RNAs (ncRNAs) partially or even completely. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis revealed that host-genes on the differentially expressed eccDNAs/ecDNAs (DEEECs/DEECs) were mainly enriched in immune-related functions and pathways. The presence of some ecDNAs were verified, and whose variability were consistent with the circle-seq results. We identified and characterized eccDNAs/ecDNAs in placentas with FGR, and elucidated the formation mechanisms and the networks with ncRNAs, which provide a new vision for the screening of new biomarkers and therapeutic targets for FGR.

Relationships among lymphocyte subsets, cytokines, and the pulmonary inflammation index in coronavirus (COVID-19) infected patients.

We explored the relationships between lymphocyte subsets, cytokines, pulmonary inflammation index (PII) and disease evolution in patients with (corona virus disease 2019) COVID-19. A total of 123 patients with COVID-19 were divided into mild and severe groups. Lymphocyte subsets and cytokines were detected on the first day of hospital admission and lung computed tomography results were quantified by PII. Difference analysis and correlation analysis were performed on the two groups. A total of 102 mild and 21 severe patients were included in the analysis. There were significant differences in cluster of differentiation 4 (CD4+ T), cluster of differentiation 8 (CD8+ T), interleukin 6 (IL-6), interleukin 10 (IL-10) and PII between the two groups. There were significant positive correlations between CD4+ T and CD8+ T, IL-6 and IL-10 in the mild group (r2  = 0·694, r 2  = 0·633, respectively; P < 0·01). After 'five-in-one' treatment, all patients were discharged with the exception of the four who died. Higher survival rates occurred in the mild group and in those with IL-6 within normal values. CD4+ T, CD8+ T, IL-6, IL-10 and PII can be used as indicators of disease evolution, and the PII can be used as an independent indicator for disease progression of COVID-19.

"Five-Early" Model: The Magic Weapon against COVID-19.

BACKGROUND: COVID-19(2019 novel coronavirus disease)has brought tremendous pressure to the prevention and control of the national epidemic due to its concealed onset, strong infectivity and fast transmission speed. METHODS: In this retrospective study, 226 patients diagnosed with 2019 novel coronavirus pneumonia (NCP) in the Chongqing University Three Gorges Hospital were included. The patients' clinical data, including general information, initial symptoms at the onset, time of disease diagnosis, time to treatment in hospital, time of nucleic acid conversion to negative, disease classification, total time of hospitalization were collected. The clinical data of the mild and severe patients were compared. RESULTS: Fever, cough, sore throat, poor appetite andfatigue were the main symptoms of the diagnosed patients. The time of diagnosis was significantly shorter in the mild patients (4.96 ± 4.10 days) than severe patients (7.63 ± 9.17 days) (P=0.004). Mild patients had shorter time to treatment in hospital (6.09 ± 4.47 vs. 8.71 ± 9.04 days) and less time of nucleic acid conversion to negative (7.58 ± 2.51 vs. 11.6 ± 4.67 days) compared to the severe patients. CONCLUSION: The above results can be used as a quantitative basis for the "five-early"(early detection, early screening, early diagnosis, early isolation treatment, and early recovery) model. The government, the masses, and the hospitals' joint prevention and optimization of the "five-early" model will provide important scientific reference for further prevention and control of the epidemics.

[Penis growth and development in children and adolescents: a study based on GAMLSS].

OBJECTIVE: To investigate penis development in children and adolescents aged 0-16 years, and to plot the percentile curve for penis development in different age groups. METHODS: A total of 3 024 normal male neonates, children, and adolescents aged 0-16 years in Chongqing, China were selected by simple random sampling and stratified cluster sampling. The length and diameter of the penis were measured for all subjects. A descriptive statistical analysis was used to investigate the data characteristics of the penis, and the GAMLSS fitting model was used to plot the percentile curves of P3, P10, P25, P50, P75, P90, and P97 and obtain percentile reference values. RESULTS: The length and diameter of the penis grew rapidly before the age of 1 year, grew relatively slowly from 1 to 11 years old, and entered a rapid growth period from 11 years old. The length of the penis was positively correlated with its diameter (r=0.961, P<0.01). The percentile reference values of penis length and diameter were obtained and the percentile curve was plotted. CONCLUSIONS: The growth and development of penis length is consistent with that of penis diameter in male children and adolescents in Chongqing, and 0-1 year and 11-16 years are rapid growth periods of penis length and diameter. The percentile curve of penis length and diameter in children and adolescents aged 0-16 years in Chongqing which has been established will provide a reference for further studies on sexual development in children and adolescents.

[Comparison of Flu Outbreak Reporting Standards Based on Transmission Dynamics Model].

OBJECTIVE: To compare the current two flu outbreak reporting standards for the purpose of better prevention and control of flu outbreaks. METHODS: A susceptible-exposed-infectious/asymptomatic-removed (SEIAR) model without interventions was set up first, followed by a model with interventions based on real situation. Simulated interventions were developed based on the two reporting standards, and evaluated by estimated duration of outbreaks, cumulative new cases, cumulative morbidity rates, decline in percentage of morbidity rates, and cumulative secondary cases. RESULTS: The basic reproductive number of the outbreak was estimated as 8. 2. The simulation produced similar results as the real situation. The effect of interventions based on reporting standard one (10 accumulated new cases in a week) was better than that of interventions based on reporting standard two (30 accumulated new cases in a week). CONCLUSION: The reporting standard one (10 accumulated new cases in a week) is more effective for prevention and control of flu outbreaks.