The development and application of pediatric complicated appendicitis prediction model.

BACKGROUND: Acute appendicitis in children refers to the acute inflammation of the appendix, which accounts for 20% ∼ 30% of cases of acute abdomen in pediatric surgery. OBJECTIVE: This study aimed to establish a decision tree model of complicated appendicitis in children using appendiceal ultrasound combined with an inflammatory index and evaluated its clinical efficacy in pediatric patients. METHODS: A total of 395 children admitted to the Emergency Department of the Shanghai Children's Hospital from January 2018 to December 2021 and diagnosed with appendicitis by postoperative pathology were retrospectively analyzed. According to the postoperative pathology, the children were divided into a complicated and non-complicated appendicitis group, respectively. Routine laboratory inflammatory indicators, including white blood cell count, N(%), neutrophil (Neu) count, Neu/lymphocyte ratio (NLR), C-reactive protein (CRP), and procalcitonin were collected from the two groups. Collecting data on ultrasound examination of the appendix includes whether the appendix diameter is thickened, whether the echogenicity of the mesenteric rim surrounding the appendix is enhanced, whether there is rich blood supply in the appendix, and whether there are fecaliths in the appendix lumen. The risk factors for complicated appendicitis were screened out by univariate and multivariate logistic regression analyses, the binary logistic regression prediction and decision tree models were established, respectively, and the receiver operating characteristic (ROC) curve was used to verify the accuracy of the two prediction models. RESULTS: Binary logistic regression analysis showed that CRP, NLR, the presence of an appendicolith, and peripheral retina echo enhancement were independent risk factors for complicated appendicitis in children (P< 0.05). The decision tree model had an overall accuracy of 79%, an area under the ROC curve (AUC) of 0.809 (95% confidence interval [CI] 0.780-0.865), and sensitivity and specificity of 71.3% and 77.7%, respectively. The logistic regression model had an overall accuracy of 74.9%, an AUC value of 0.823 (95% CI, 0.765-0.853), a sensitivity value of 80.3%, and a specificity of 71.8%. CONCLUSION: This predictive model, based on ultrasound of the appendix combined with inflammatory markers, provides a useful method to assist pediatric emergency physicians in diagnosing childhood appendicitis. The decision tree model reflected the interaction of various indexes, and the model was simple, intuitive, and effective.

Depression, anxiety and post-traumatic growth among COVID-19 survivors six-month after discharge.

Background: Pre-hospitalisation, hospitalisation and post-hospitalisation factors may significantly affect depression, anxiety and post-traumatic growth (PTG) among COVID-19 survivors. Objective: Our study investigated depression, anxiety and PTG and their correlates among COVID-19 survivors. Method: A cross-sectional telephone survey recruited 199 COVID-19 patients (Mean age = 42.7; 53.3% females) at six-month follow-up after hospital discharge in five Chinese cities (i.e. Wuhan, Shenzhen, Zhuhai, Dongguan and Nanning). Their demographic information, clinical records and experiences during (e.g. severity of covid-19 symptoms, treatment and exposure to other patients' suffering) and after hospitalisation (e.g. perceived impact of covid-19, somatic symptoms after hospitalisation), and psychosocial factors (e.g. perceived discrimination, self-stigma, affiliate stigma, resilience and social support) were investigated. Depressive and anxiety symptoms were measured by the Patient Health Questionnaire (PHQ-9) and the Generalised anxiety disorder (GAD-7) scale, respectively. PTG was examined by the Post-traumatic Growth Inventory (PTGI) instrument. Results: The proportion of depressive symptoms <5, ≥5 and <10, ≥10 were 76.9%, 12.0% and 11.1%, respectively. The proportion of anxiety symptoms <5, ≥5 and <10, ≥10 were 77.4%, 15.1% and 7.5%, respectively. Multivariate logistic regression showed that receiving mental health care services during hospitalisation, somatic symptoms after discharge, perceived affiliate stigma and perceived impact of being infected with COVID-19 were significantly and positively associated with probable depression. Significant correlates of probable anxiety also included permanent residents of the city, somatic symptoms after discharge, perceived impact of being infected with COVID-19 and self-stigma. Social support, self-stigma and receiving mental health care services during hospitalisation were positively associated with PTG.Conclusions: The results suggest that post-hospitalisation and psychosocial factors had relatively stronger associations with depression, anxiety and PTG than pre-hospitalisation and hospitalisation factors. Promoting social support and social inclusion may be useful strategies to improve the mental health of COVID-19 survivors. HIGHLIGHTS: • Post-hospitalisation and psychosocial factors had relatively stronger associations with depression, anxiety and PTG than pre-hospitalisation and hospitalisation factors, promoting social support and social inclusion may be useful strategies to improve mental health of COVID-19 survivors.

Antecedentes: Los factores pre-hospitalización, durante la hospitalización y post-hospitalización pueden afectar significativamente la depresión, la ansiedad y el crecimiento postraumático (CPT) en los sobrevivientes de COVID-19.Objetivo: Nuestro estudio investigó la depresión, la ansiedad y el CPT y sus correlatos en sobrevivientes de COVID-19.Método: Una encuesta telefónica transversal reclutó a 199 pacientes con COVID-19 (edad promedio = 42,7; 53,3% mujeres) a los seis meses de seguimiento después del alta hospitalaria en cinco ciudades chinas (Wuhan, Shenzhen, Zhuhai, Dongguan y Nanning). Su información demográfica, registros clínicos y experiencias durante la hospitalización (e.g. gravedad de los síntomas de COVID-19, tratamiento, exposición al sufrimiento de otros pacientes) y después de la hospitalización (e.g. impacto percibido de COVID-19, síntomas somáticos después de la hospitalización) y factores psicosociales (e.g. discriminación percibida, autoestigma, estigma de afiliación, resiliencia, apoyo social) fueron investigados. Los síntomas depresivos y de ansiedad se midieron mediante el Cuestionario de Salud del Paciente (PHQ-9 en su sigla en inglés) y la escala de trastorno de ansiedad generalizada (GAD-7 en su sigla en inglés) respectivamente, el CPT se examinó mediante el instrumento Inventario de Crecimiento Postraumático (PTGI en su sigla en inglés).Resultados: La proporción de síntomas depresivos <5, ≥5 y <10, y ≥10 fue 76,9%, 12,0% y 11,1% respectivamente. La proporción de síntomas de ansiedad <5, ≥5 y <10, y ≥10 fue del 77,4%, 15,1% y 7,5% respectivamente. La regresión logística multivariante mostró que recibir servicios de atención de salud mental durante la hospitalización, los síntomas somáticos después del alta, el estigma de afiliación percibido y el impacto percibido de estar infectado con COVID-19 se asociaron significativa y positivamente con una probable depresión. Los correlatos significativos de ansiedad probable también incluyeron ser residente permanente de la ciudad, síntomas somáticos después del alta, impacto percibido de estar infectado con COVID-19 y autoestigma. El apoyo social, el autoestigma y recibir servicios de salud mental durante la hospitalización se asociaron positivamente con el CPT.Conclusiones: Los resultados sugieren que los factores psicosociales y posteriores a la hospitalización tuvieron asociaciones relativamente más fuertes con la depresión, la ansiedad y el CPT que los factores previos a la hospitalización y hospitalización. Promover el apoyo social y la inclusión social pueden ser estrategias útiles para mejorar la salud mental de los sobrevivientes de COVID-19.

Hospitalization, interpersonal and personal factors of social anxiety among COVID-19 survivors at the six-month follow-up after hospital treatment: the minority stress model.

Background: As a highly infectious disease with human-to-human transmission characteristics, COVID-19 has caused panic in the general public. Those who have recovered from COVID-19 may experience discrimination and internalized stigma. They may be more likely to worry about social interaction and develop social anxiety. Objectives: This study investigated the associations among hospitalization factors, social/interpersonal factors, personal factors, and social anxiety to reveal the mechanism of social anxiety in COVID-19 survivors. Methods: A cross-sectional, multicenter telephone survey was conducted from July to September 2020 in five Chinese cities (i.e. Wuhan, Nanning, Shenzhen, Zhuhai, and Dongguan); adult COVID-19 survivors were recruited 6 months after they were discharged from the hospital. Linear regressions and path analysis based on the minority stress model were conducted to test the relationships among hospitalization, social/interpersonal factors, personal factors, and social anxiety. Results: The response rate was 74.5% (N = 199, 55.3% females). Linear regression analyses showed that various hospitalization, social/interpersonal, and personal factors were statistically significantly associated with social anxiety. Path analysis showed that the proposed model fit the data well (χ2(df) = 3.196(3), p = .362, CFI = .999, NNFI = .996, RMSEA = .018). Internalized stigma fully mediated the association between perceived discrimination/social support and social anxiety, while it partially mediated the association between perceived affiliate stigma and social anxiety. Conclusions: The results suggest that social/interpersonal and personal factors have a stronger association with social anxiety than hospitalization factors and highlight the importance of internalized stigma in understanding the mechanisms of these relationships. Clinical psychologists can refer to these modifiable psychosocial factors to develop efficient interventions for mental health promotion.

Antecedentes: Como una enfermedad altamente infecciosa con características de transmisión de persona a persona, el COVID-19 ha causado pánico en el público en general. Aquellos que se han recuperado del COVID-19 pueden experimentar discriminación y estigma internalizado. Es más probable que se preocupen por la interacción social y desarrollen ansiedad social.Objetivos: Este estudio investigó las asociaciones entre factores de hospitalización, factores sociales /interpersonales, factores personales y ansiedad social para revelar el mecanismo de ansiedad social en sobrevivientes de COVID-19.Métodos: Se realizó una encuesta telefónica transversal multicentro de julio a septiembre de 2020 en cinco ciudades chinas (es decir, Wuhan, Nanning, Shenzhen, Zhuhai y Dongguan). Se reclutaron sobrevivientes adultos de COVID-19 seis meses después de ser dados de alta del hospital. Se realizaron regresiones lineales y análisis de ruta basados en el modelo de estrés de minoría para probar las relaciones entre la hospitalización, los factores sociales/interpersonales, los factores personales y la ansiedad social.Resultados: La tasa de respuesta fue del 74,5% (N = 199, 55,3% mujeres). Los análisis de regresión lineal mostraron que varios factores de hospitalización, sociales/interpersonales y personales se asociaron de manera estadísticamente significativa con la ansiedad social. El análisis de ruta mostró que el modelo propuesto se ajustaba bien a los datos (χ2 (df) = 3.196 (3), p = .362, CFI = .999, NNFI = .996, RMSEA = .018). El estigma internalizado medió completamente la asociación entre discriminación/apoyo social percibido y ansiedad social, mientras que medió parcialmente la asociación entre el estigma percibido de afiliados y ansiedad social.Conclusiones: Los resultados sugieren que los factores sociales/interpersonales y personales tienen una asociación más fuerte con la ansiedad social que los factores de hospitalización y resaltan la importancia del estigma internalizado en la comprensión de los mecanismos de estas relaciones. Los psicólogos clínicos pueden referirse a estos factores psicosociales modificables para desarrollar intervenciones eficientes para la promoción de la salud mental.

Associations between COVID-19 related stigma and sleep quality among COVID-19 survivors six months after hospital discharge.

BACKGROUND: Many COVID-19 survivors reported stigmatization after recovery. This study investigated the association between stigma (discrimination experiences, self-stigma and perceived affiliate stigma) and sleep quality among COVID-19 survivors six months after hospital discharge. METHODS: Participants were recovered adult COVID-19 survivors discharged between February 1 and April 30, 2020. Medical staff of five participating hospitals approached all discharged COVID-19 period during this period. A total of 199 participants completed the telephone interview during July to September, 2020. Structural equation modeling was performed to test the hypothesize that resilience and social support would mediate the associations between stigma and sleep quality. RESULTS: The results showed that 10.1% of the participants reported terrible/poor sleep quality, 26.1% reported worse sleep quality in the past week when comparing their current status versus the time before COVID-19. After adjusting for significant background characteristics, participants who had higher number of discrimination experience, perceived stronger self-stigma and stronger perceived affiliate stigma reported poorer sleep quality. Resilience and social support were positively and significantly associated with sleep quality. The indirect effect of self-stigma on sleep quality through social support and resilience was significant and negative. Perceived affiliate stigma also had a significant and negative indirect effect on sleep quality through social support and resilience. CONCLUSIONS: Various types of stigma after recovery were associated with poor sleep quality among COVID-19 survivors, while social support and resilience were protective factors. Resilience and social support mediated the associations between self-stigma/perceived affiliate stigma and sleep quality.

Pre-hospital, in-hospital and post-hospital factors associated with sleep quality among COVID-19 survivors 6 months after hospital discharge: cross-sectional survey in five cities in China.

Background: Understanding factors associated with post-discharge sleep quality among COVID-19 survivors is important for intervention development. Aims: This study investigated sleep quality and its correlates among COVID-19 patients 6 months after their most recent hospital discharge. Method: Healthcare providers at hospitals located in five different Chinese cities contacted adult COVID-19 patients discharged between 1 February and 30 March 2020. A total of 199 eligible patients provided verbal informed consent and completed the interview. Using score on the single-item Sleep Quality Scale as the dependent variable, multiple linear regression models were fitted. Results: Among all participants, 10.1% reported terrible or poor sleep quality, and 26.6% reported fair sleep quality, 26.1% reported worse sleep quality when comparing their current status with the time before COVID-19, and 33.7% were bothered by a sleeping disorder in the past 2 weeks. After adjusting for significant background characteristics, factors associated with sleep quality included witnessing the suffering (adjusted B = -1.15, 95% CI = -1.70, -0.33) or death (adjusted B = -1.55, 95% CI = -2.62, -0.49) of other COVID-19 patients during hospital stay, depressive symptoms (adjusted B = -0.26, 95% CI = -0.31, -0.20), anxiety symptoms (adjusted B = -0.25, 95% CI = -0.33, -0.17), post-traumatic stress disorders (adjusted B = -0.16, 95% CI = -0.22, -0.10) and social support (adjusted B = 0.07, 95% CI = 0.04, 0.10). Conclusions: COVID-19 survivors reported poor sleep quality. Interventions and support services to improve sleep quality should be provided to COVID-19 survivors during their hospital stay and after hospital discharge.

Immune Checkpoint Gene Expression Profiling Identifies Programmed Cell Death Ligand-1 Centered Immunologic Subtypes of Oral and Squamous Cell Carcinoma With Favorable Survival.

OBJECTIVE: This study aimed to identify the programmed death ligand-1 (PDL1, also termed as CD274) and its positively correlated immune checkpoint genes (ICGs) and to determine the immune subtypes of CD274-centered ICG combinations in oral and squamous cell carcinoma (OSCC). MATERIALS AND METHODS: Firstly, the 95 ICGs obtained via literature reviews were identified in the Cancer Genome Atlas (TCGA) database in relation to OSCC, and such 88 ICG expression profiles were extracted. ICGs positively correlated with CD274 were utilized for subsequent analysis. The relationship between ICGs positively correlated with CD274 and immunotherapy biomarkers (tumor mutation burden (TMB), and adaptive immune resistance pathway genes) was investigated, and the relationships of these genes with OSCC clinical features were explored. The prognostic values of CD274 and its positively correlated ICGs and also their associated gene pairs were revealed using the survival analysis. RESULTS: Eight ICGs, including CTLA4, ICOS, TNFRSF4, CD27, B- and T-lymphocyte attenuator (BTLA), ADORA2A, CD40LG, and CD28, were found to be positively correlated with CD274. Among the eight ICGs, seven ICGs (CTLA4, ICOS, TNFRSF4, CD27, BTLA, CD40LG, and CD28) were significantly negatively correlated with TMB. The majority of the adaptive immune resistance pathway genes were positively correlated with ICGs positively correlated with CD274. The survival analysis utilizing the TCGA-OSCC data showed that, although CD274 was not significantly associated with overall survival (OS), the majority of ICGs positively correlated with CD274 (BTLA, CD27, CTLA4, CD40LG, CD28, ICOS, and TNFRSF4) were significantly correlated with OS, whereby their low-expression predicted a favorable prognosis. The survival analysis based on the gene pair subtypes showed that the combination subtypes of CD274_low/BTLA_low, CD274_low/CD27_low, CD274_low/CTLA4_low, CD8A_high/BTLA_low, CD8A_high/CD27_low, and CD8A_high/CTLA4_low predicted favorable OS. CONCLUSION: The results in this study provide a theoretical basis for prognostic immune subtyping of OSCC and highlight the importance of developing future immunotherapeutic strategies for treating oral cancer.

Post-traumatic Stress Disorder Symptoms in COVID-19 Survivors 6 Months After Hospital Discharge: An Application of the Conservation of Resource Theory.

COVID-19 survivors who had acute respiratory symptoms might experience prolonged post-traumatic stress disorder (PTSD) due to further rehabilitation, somatic symptoms and related distress. The conservation of resource (COR) theory is a well-developed theory to understand how people develop PTSD symptoms in traumatic events. The current study aimed to examine the potential factors of PTSD symptoms and interrelationships among this factors among COVID-19 survivors based on the COR theory. This cross-sectional telephone survey enrolled 199 COVID-19 patients (Mean age = 42.7; 53.3% females) 6 months after their hospital discharge in five Chinese cities (i.e., Wuhan, Shenzhen, Zhuhai, Dongguan, and Nanning). The results showed that 7% of participants were classified as having probable PTSD. The significant potential factors relating to PTSD symptoms included socio-demographic status, hospitalization experiences, post-hospitalization experiences, and psychological status. Besides, the proposed statistical mediation model based on the COR framework showed good model fit, χ2(df) = 17.286 (5), p = 0.004, CFI = 0.962, NNFI = 0.951, RMSEA = 0.077. Perceived resource loss/gain fully mediated the association between exposure to other patients' suffering during hospitalization and PTSD symptoms, and partially mediated the relationships from somatic symptoms/perceived impact of being infected with COVID-19 after discharge to PTSD symptoms. On the other hand, resilience was a full mediator in the relationship from ICU experience to PTSD symptoms and a partial mediator in the relationship from perceived impact to PTSD symptoms. The results provide preliminary support on applying the COR theory to understand the factors of PTSD symptoms among COVID-19 survivors. Interventions to reduce PTSD symptoms in this population can be developed based on the modifiable psychosocial mediators.

Optimizing an immersion ESL curriculum using analytic hierarchy process.

The main purpose of this study is to fill a substantial knowledge gap regarding reaching a uniform group decision in English curriculum design and planning. A comprehensive content-based course criterion model extracted from existing literature and expert opinions was developed. Analytical hierarchy process (AHP) was used to identify the relative importance of course criteria for the purpose of tailoring an optimal one-week immersion English as a second language (ESL) curriculum for elementary school students in a suburban county of Taiwan. The hierarchy model and AHP analysis utilized in the present study will be useful for resolving several important multi-criteria decision-making issues in planning and evaluating ESL programs. This study also offers valuable insights and provides a basis for further research in customizing ESL curriculum models for different student populations with distinct learning needs, goals, and socioeconomic backgrounds.