Evaluación del estado nutricional de los estudiantes de la escuela particular California cantón Portoviejo durante el periodo Enero a Diciembre del año 2014

The study is proposed in primary health care as a final work, the aim is the interpretation and analysis problem from a nutritional health perspective of California private school students, from Portoviejo-Ecuador, during the period from January to December 2014. And the nutritional status of children is the overall objective in this school, and the specific objective are: determine the weight and height of children, identify the most common nutritional problems and the risk of them that affect directly the nutritional status, and make a plan to solve this necessities it is necessary. The proposed study is descriptive-cross, in this study are 145 children from first to seventh basic year, that measurement the anthropometric, weight and height, and after stablish a nutritional plan trough the corporal mass index (IMC) authorized by the world health organization (WHO) and procedure of the results interpretation with this created nutritional habits to improve the life trough a educational continue program that involve parents, students and teachers.El estudio que se propone como trabajo final de la especialidad en Atención Primaria en Salud, tiene como fin el análisis e interpretación de la problemática escolar desde la perspectiva de la salud nutricional de los alumnos pertenecientes a la escuela particular California en la ciudad de Portoviejo-Ecuador, durante el periodo enero a diciembre del año 2014, cuyo objetivo general es evaluar el estado nutricional de los niños y niñas de la escuela antes mencionada y cuyos objetivos específicos son: determinar el peso y la talla de los niños y niñas, identificar los problemas nutricionales más frecuentes de estos y conocer los factores de riesgos que afectan o que podrán afectar directamente el estado nutricional de los niños y niñas, para posteriormente si el caso amerita brindar un plan alimentario acorde a sus necesidades. El estudio planteado es de tipo descriptivo – transversal, el universo a participar del estudio es de 145 niños y niñas que corresponden del primero al séptimo grado de esta institución educativa, a quienes se procederá a la medición antropométrica de su peso y talla para posteriormente establecer su estado nutricional a través de su índice de masa corporal (IMC) con fórmula previamente establecida por la Organización Mundial de la Salud (OMS) para posteriormente proceder con la interpretación de los resultados y si el caso amerita poder crear hábitos nutricionales adecuados y mejorar la calidad de vida de los mismos a través de un programa de educación continua que involucre a los docentes, estudiantes y padres de familia

Migration and activation marker expressing in monocytes subset in mild and several/critical patients (S/C)

S2 Fig. Migration and activation marker expressing in monocytes subset in mild and several/critical patients (S/C).Peer reviewe

S1 Fig - Clinical, laboratory data and inflammatory biomarkers at baseline as early discharge predictors in hospitalized SARS-CoV-2 infected patients

A, Predictive models for hospital discharge during the first week in mild patients. B, Predictive models for worsening of clinical status during the first week in patients who were admitted mildly ill. AUC, area under the curve.Peer reviewe

Activation, homing and maturation marker expression in different monocyte subsets

Data are expressed by percentage and interquartile range. Medians fluorescence intensitive (MFI) were calculated in those markets that have a high rate of expression.Peer reviewe

Clinical, laboratory data and inflammatory biomarkers at baseline as early discharge predictors in hospitalized SARS-CoV-2 infected patients

Background The SARS-CoV-2 pandemic has overwhelmed hospital services due to the rapid transmission of the virus and its severity in a high percentage of cases. Having tools to predict which patients can be safely early discharged would help to improve this situation. Methods Patients confirmed as SARS-CoV-2 infection from four Spanish hospitals. Clinical, demographic, laboratory data and plasma samples were collected at admission. The patients were classified into mild and severe/critical groups according to 4-point ordinal categories based on oxygen therapy requirements. Logistic regression models were performed in mild patients with only clinical and routine laboratory parameters and adding plasma pro-inflammatory cytokine levels to predict both early discharge and worsening. Results 333 patients were included. At admission, 307 patients were classified as mild patients. Age, oxygen saturation, Lactate Dehydrogenase, D-dimers, neutrophil-lymphocyte ratio (NLR), and oral corticosteroids treatment were predictors of early discharge (area under curve (AUC), 0.786; sensitivity (SE) 68.5%; specificity (S), 74.5%; positive predictive value (PPV), 74.4%; and negative predictive value (NPV), 68.9%). When cytokines were included, lower interferon-γ-inducible protein 10 and higher Interleukin 1 beta levels were associated with early discharge (AUC, 0.819; SE, 91.7%; S, 56.6%; PPV, 69.3%; and NPV, 86.5%). The model to predict worsening included male sex, oxygen saturation, no corticosteroids treatment, C-reactive protein and Nod-like receptor as independent factors (AUC, 0.903; SE, 97.1%; S, 68.8%; PPV, 30.4%; and NPV, 99.4%). The model was slightly improved by including the determinations of interleukine-8, Macrophage inflammatory protein-1 beta and soluble IL-2Rα (CD25) (AUC, 0.952; SE, 97.1%; S, 98.1%; PPV, 82.7%; and NPV, 99.6%). Conclusions Clinical and routine laboratory data at admission strongly predict non-worsening during the first two weeks; therefore, these variables could help identify those patients who do not need a long hospitalization and improve hospital overcrowding. Determination of pro-inflammatory cytokines moderately improves these predictive capacities.This work was supported by Consejeria de Salud y Familia (research Project COVID-0005-2020 and Research Contract RH-0037-2020 to JV); Consejería de Transformación Económica, Industria, Conocimiento y Universidades (PY20/01276 to APG); Instituto de Salud Carlos III (CP19/00159 to AGV, CP19/00146 to AR, FI19/00304 to EMM, FI19/00083 to MCGC, "a way to make Europe, and COV20/00698 to support COHVID-GS), Red Temática de Investigación Cooperativa en SIDA (RD16/0025/0020, RD16/0025/0006 and RD16/0025/0026), Fondos FEDER; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas-ISCIII (CB21/13/00020) Madrid, Spain. ERM was supported by the Spanish Research Council (CSIC). AR is also supported by a grant from IISPV through the project “2019/IISPV/05” (Boosting Young Talent), by GeSIDA through the “III Premio para Jóvenes Investigadores”. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Peer reviewe

Receiver operating curve (ROC) analyses to evaluate the ability of clinical and laboratory data to predict discharge during the first week

AUC, area under the curve; SE, sensitivity; S, specificity; PPV, positive predictive value; NPV, negative predictive value. SpO2, peripheral capillary oxygen saturation; CRP, C-reactive protein; LDH, Lactate dehydrogenase; NLR, neutrophil/lymphocyte ratio; TNF-α; tumor necrosis factor α; IL-6, interleukine-6; IL-8, interleukine-8; IL-1β, interleukine-1β; MIP-1β, macrophage inflammatory proteins 1β; sCD25, soluble receptor interleukine-2; IP-10, interferon γ-induced protein 10.Peer reviewe

Baseline characteristics of the mild patients who were discharged and worsened during the first week

Quantitative variables are expressing as number (percentage) or median (interquartile range). Pa value for differences between patients who were or not discharged. Pb value for differences between patients who who did and did not get wore. SpO2, peripheral capillary oxygen saturation; CRP, C-reactive protein; LDH, Lactate dehydrogenase; NLR, neutrophil/lymphocyte ratio.Peer reviewe

Receiver operating curve (ROC) analyses to evaluate the ability of clinical and laboratory data to predict worse prognosis during the first week

AUC, area under the curve; SE, sensitivity; S, specificity; PPV, positive predictive value; NPV, negative predictive value. SpO2, peripheral capillary oxygen saturation; CRP, C-reactive protein; LDH, Lactate dehydrogenase; NLR, neutrophil/lymphocyte ratio; TNF-α; tumor necrosis factor α; IL-6, interleukine-6; IL-8, interleukine-8; IL-1β, interleukine-1β; MIP-1β, macrophage inflammatory proteins 1β; sCD25, soluble receptor interleukine-2; IP-10, interferon γ-induced protein 10.Peer reviewe

Deciphering the quality of SARS-CoV-2 specific T-cell response associated with disease severity, immune memory and heterologous response

SARS-CoV-2 specific T-cell response has been associated with disease severity, immune memory and heterologous response to endemic coronaviruses. However, an integrative approach combining a comprehensive analysis of the quality of SARS-CoV-2 specific T-cell response with antibody levels in these three scenarios is needed. In the present study, we found that, in acute infection, while mild disease was associated with high T-cell polyfunctionality biased to IL-2 production and inversely correlated with anti-S IgG levels, combinations only including IFN-γ with the absence of perforin production predominated in severe disease. Seven months after infection, both non-hospitalised and previously hospitalised patients presented robust anti-S IgG levels and SARS-CoV-2 specific T-cell response. In addition, only previously hospitalised patients showed a T-cell exhaustion profile. Finally, combinations including IL-2 in response to S protein of endemic coronaviruses were the ones associated with SARS-CoV-2 S-specific T-cell response in pre-COVID-19 healthy donors’ samples. These results could have implications for protective immunity against SARS-CoV-2 and recurrent COVID-19 and may help for the design of new prototypes and boosting vaccine strategies.NIH (contract to AS, DW), Grant/AwardNumber: 75N9301900065; “Contratación de Personal Investigador Doctor”supported by the European Social Fund and Junta de Andalucía (PAIDIDOCTOR- Convocatoria 2019-2020 toFJO, SB); Instituto de Salud Carlos III,Fondos FEDER. ERM was supported bythe Spanish Research Council (CSIC);Consejería de Transformación Económica, Industria, Conocimiento y Universidades Junta de Andalucía (research project to ERM), Grant/AwardNumber: CV20-85418; Red Temática de Investigación Cooperativa en SIDA, whichis included in the Acción Estratégica en Salud, Plan Nacional de InvestigaciónCientífica, Desarrollo e Innovación Tecnológica, 2008 to 2011 and 2013 to 2016,Grant/Award Numbers: RD16/0025/0020,RD16/0025/0026; Consejeria de Salud Junta de Andalucia (Research contract toJV), Grant/Award Number:RH-0037-2020; Instituto de Salud CarlosIII (PI19/01127 to ERM, CP19/00159 toAGV, FI17/00186 to MRJL, FI19/00083 toCGC, CM20/00243 to APG andCOV20/00698 to support COHVID-GS)Peer reviewe

Description of SARS-CoV-2 T-cell polyfunctionality features

SARS-CoV-2 specific T-cell response has been associated with disease severity, immune memory and heterologous response to endemic coronaviruses. However, an integrative approach combining a comprehensive analysis of the quality of SARS-CoV-2 specific T-cell response with antibody levels in these three scenarios is needed. In the present study we found that, in acute infection, while mild disease was associated with high T-cell polyfunctionality biased to IL-2 production and inversely correlated with anti-S IgG levels, combinations only including IFN-gamma; with absence of perforin production predominated in severe disease. Seven months after infection, both non-hospitalized and previously hospitalized patients presented robust anti-S IgG levels and SARS-CoV-2 specific T-cell response. In addition, only previously hospitalized patients showed a T-cell exhaustion profile. Finally, combinations including IL-2 in response to S protein of endemic coronaviruses, were the ones associated with SARS-CoV-2 S-specific T-cell response in pre-COVID-19 samples from healthy donors. These results have implications for protective immunity against SARS-CoV-2 and recurrent COVID-19 and may help for the design of new prototypes and boosting vaccine strategies.Consejeria de Transformacion Economica, Industria, Conocimiento y Universidades Junta de Andalucia (research Project CV20-85418) (ERM) NIH contract 75N9301900065 (AS, DW) Consejeria de Salud Junta de Andalucia (Research Contract RH-0037-2020 to JV) Instituto de Salud Carlos III (CP19/00159 to AGV, FI17/00186 to MRJL, FI19/00083 to CGC, CM20/00243 to APG and COV20/00698 to support COHVID-GS) Red Temática de Investigación Cooperativa en SIDA (RD16/0025/0020; RD16/0025/0026), which is included in the Acción Estratégica en Salud, Plan Nacional de Investigación Científica, Desarrollo e Innovación Tecnológica, 2008 to 2011 and 2013 to 2016 Instituto de Salud Carlos III, Fondos FEDER. ERM was supported by the Spanish Research Council (CSIC). “Contratación de Personal Investigador Doctor” supported by the European Social Fund and Junta de Andalucía (PAIDI DOCTOR- Convocatoria 2019-2020). (FJO, SB).N