Introdução: as infecções são responsáveis por mais de um terço das mortes neonatais, sendo a sepse a de maior expressão. A sepse neonatal precoce (SNP) aumenta em cinco vezes a taxa de mortalidade entre recém-nascidos (RN) de termo e pré-termos tardios e em vinte e cinco vezes a taxa de mortalidade entre pré-termos extremos. A Variabilidade da Frequência Cardíaca (VFC) vem se mostrando capaz de antecipar o diagnóstico, reduzindo em 22% o risco relativo de mortalidade entre os pré-termos de muito baixo peso com sepse. Objetivo: verificar a VFC de RN com suspeita de SNP; identificar medidas significantes e verificar se, associadas a variáveis clínico-laboratoriais, aumentam a chance de identificar pacientes passíveis de desenvolver a doença. Método: utilizou-se um frequencímetro portátil para aferir as medidas da VFC nos domínios do tempo, da frequência e do Caos. Dentre elas, elegeu-se aquelas com curva ROC > 0,75 para, com seus valores de cut-off, aplicar regressão logística e identificar as que melhor se adequassem ao modelo. As variáveis clínico-laboratoriais significantes que restaram da análise univariada foram submetidas à análise multivariada a fim de identificar, também, as que melhor se adequassem ao modelo. Resultados: foram identificadas quatro variáveis clínico-laboratoriais (sexo masculino, idade gestacional < 34 semanas, Score de Rodwell e proteína C-reativa), e nove medidas da VFC (RRmean, SDNN, RR tri index, LF, HF, SD2 do plot de Poincaré, ShaEnt, CorrDim D2 e SamAsy). Cinco apresentaram área sob a curva ROC > 0,75: SDNN, RR tri index, LF, SD2 e CorrDim D2. Depois de aplicada a regressão logística, restou apenas a CorrDim D2 com cut-off = 0,1164. Identificadas, as variáveis foram submetidas ao cálculo do logit para, com isso, quantificar a chance do paciente suspeito de evoluir para a doença, na dependência das três variáveis eleitas: CorrDim D2, idade gestacional < 34 semanas e score de Rodwell. Conclusão: o estudo mostrou que tanto o modelo preditivo clinico como a CorrDim D2 são capazes, de forma independente, de estimar a chance que um futuro paciente com sepse suspeitada tem de efetivamente confirmar o diagnóstico de sepse. E que, além disso, se a CorrDim D2 for agregada ao modelo preditivo clínico, esta chance aumenta consideravelmente. / Introduction: infectious diseases are responsible for more than one-third of neonatal deaths, and sepsis is of great importance. Early Neonatal Sepsis (ENS) increases five times the mortality rate among term and late preterm newborns. Among extreme preterm babies the mortality rate increases by twenty-five times. Heart Rate Variability (HRV) has been showing to be capable of anticipating the diagnosis, thus reducing by 22 percent the relative risk of mortality of very low preterm babies with sepsis. Objective: to verify HRV of newborn babies suspects of having ENS; to identify significant measures of HRV and to verify if, associated to clinical-laboratorial variables, if they improve the chance of identifying patients exposed to developing ENS. Method: a portable frequencimeter was used to registering the measurements of HRV in the domains of time, of frequency and of chaos. Among them, only those with a ROC curve greater than 0.75 were chosen, with their cut-off values to enter a logistic regression with the aim of identifying those more suitable to the model. The clinical-laboratorial variables which were considered significant in a univariete analysis were also submitted to the multivariate analysis with the purpose of identifying those better fitted to the model. Results: four clinical-laboratorial variables (male sex, gestational age less than 34 weeks, the Rodwell Score and C-Reactive Protein); similarly, nine measures of HRV (RRmean, SDNN, RR tri index, LF, HF, SD2 of Poincaré plot, ShaEnt, CorrDimD2 and SamAsy). Five of them presented an area under the ROC curve greater than 0.75: SDNN, RR tri index, LF, SD2 and CorrDim D2. Once applied the logistic regression, only CorrDim D2 remained, with a cut-off value of 0.1164. The identified variables were, then, submitted to the calculation of the logit, with the purpose of quantifying the chance of a patient suspect of evolving to a sepsis, in the dependence of the three elected variables: CorrDim D2, gestational age under 34 weeks and the Score of Rodwell. Conclusion: the study showed that both, the predictive clinical model as CorrDim D2 are able, independently, to estimate the chance that a patient with suspected sepsis future has to effectively confirm the diagnosis of sepsis. And that, moreover, if the CorrDim D2 is aggregated to clinical predictive model, this chance increases considerably.

Introdução: as infecções são responsáveis por mais de um terço das mortes neonatais, sendo a sepse a de maior expressão. A sepse neonatal precoce (SNP) aumenta em cinco vezes a taxa de mortalidade entre recém-nascidos (RN) de termo e pré-termos tardios e em vinte e cinco vezes a taxa de mortalidade entre pré-termos extremos. A Variabilidade da Frequência Cardíaca (VFC) vem se mostrando capaz de antecipar o diagnóstico, reduzindo em 22% o risco relativo de mortalidade entre os pré-termos de muito baixo peso com sepse. Objetivo: verificar a VFC de RN com suspeita de SNP; identificar medidas significantes e verificar se, associadas a variáveis clínico-laboratoriais, aumentam a chance de identificar pacientes passíveis de desenvolver a doença. Método: utilizou-se um frequencímetro portátil para aferir as medidas da VFC nos domínios do tempo, da frequência e do Caos. Dentre elas, elegeu-se aquelas com curva ROC > 0,75 para, com seus valores de cut-off, aplicar regressão logística e identificar as que melhor se adequassem ao modelo. As variáveis clínico-laboratoriais significantes que restaram da análise univariada foram submetidas à análise multivariada a fim de identificar, também, as que melhor se adequassem ao modelo. Resultados: foram identificadas quatro variáveis clínico-laboratoriais (sexo masculino, idade gestacional < 34 semanas, Score de Rodwell e proteína C-reativa), e nove medidas da VFC (RRmean, SDNN, RR tri index, LF, HF, SD2 do plot de Poincaré, ShaEnt, CorrDim D2 e SamAsy). Cinco apresentaram área sob a curva ROC > 0,75: SDNN, RR tri index, LF, SD2 e CorrDim D2. Depois de aplicada a regressão logística, restou apenas a CorrDim D2 com cut-off = 0,1164. Identificadas, as variáveis foram submetidas ao cálculo do logit para, com isso, quantificar a chance do paciente suspeito de evoluir para a doença, na dependência das três variáveis eleitas: CorrDim D2, idade gestacional < 34 semanas e score de Rodwell. Conclusão: o estudo mostrou que tanto o modelo preditivo clinico como a CorrDim D2 são capazes, de forma independente, de estimar a chance que um futuro paciente com sepse suspeitada tem de efetivamente confirmar o diagnóstico de sepse. E que, além disso, se a CorrDim D2 for agregada ao modelo preditivo clínico, esta chance aumenta consideravelmente. / Introduction: infectious diseases are responsible for more than one-third of neonatal deaths, and sepsis is of great importance. Early Neonatal Sepsis (ENS) increases five times the mortality rate among term and late preterm newborns. Among extreme preterm babies the mortality rate increases by twenty-five times. Heart Rate Variability (HRV) has been showing to be capable of anticipating the diagnosis, thus reducing by 22 percent the relative risk of mortality of very low preterm babies with sepsis. Objective: to verify HRV of newborn babies suspects of having ENS; to identify significant measures of HRV and to verify if, associated to clinical-laboratorial variables, if they improve the chance of identifying patients exposed to developing ENS. Method: a portable frequencimeter was used to registering the measurements of HRV in the domains of time, of frequency and of chaos. Among them, only those with a ROC curve greater than 0.75 were chosen, with their cut-off values to enter a logistic regression with the aim of identifying those more suitable to the model. The clinical-laboratorial variables which were considered significant in a univariete analysis were also submitted to the multivariate analysis with the purpose of identifying those better fitted to the model. Results: four clinical-laboratorial variables (male sex, gestational age less than 34 weeks, the Rodwell Score and C-Reactive Protein); similarly, nine measures of HRV (RRmean, SDNN, RR tri index, LF, HF, SD2 of Poincaré plot, ShaEnt, CorrDimD2 and SamAsy). Five of them presented an area under the ROC curve greater than 0.75: SDNN, RR tri index, LF, SD2 and CorrDim D2. Once applied the logistic regression, only CorrDim D2 remained, with a cut-off value of 0.1164. The identified variables were, then, submitted to the calculation of the logit, with the purpose of quantifying the chance of a patient suspect of evolving to a sepsis, in the dependence of the three elected variables: CorrDim D2, gestational age under 34 weeks and the Score of Rodwell. Conclusion: the study showed that both, the predictive clinical model as CorrDim D2 are able, independently, to estimate the chance that a patient with suspected sepsis future has to effectively confirm the diagnosis of sepsis. And that, moreover, if the CorrDim D2 is aggregated to clinical predictive model, this chance increases considerably.

Introduction : La variabilité du rythme cardiaque est étudiée à partir des variations de durée des cycles cardiaques (intervalle R-R de l’électrocardiogramme). Ces variations peuvent être analysées par des méthodes linéaires (temporelles et fréquentielles) et non linéaires (théorie de l’information ou des fractales) de quantifications mathématiques et statistiques qui donnent des informations innovantes sur les signaux analysés. L’application de ces méthodes d’étude en néonatologie a démontré un intérêt pour le diagnostique précoce de l’infection néonatale tardive du prématuré mais n’avait pas été étudié dans l’infection néonatale précoce du nouveau-né à terme, dans le contexte des évènements cardio-respiratoires suivant la primo-vaccination des prématurés ou pour évaluer un effet neurologique de l’hyperbilirubinémie dans l’ictère néonatal. Notre hypothèse dans ce travail était qu’il était possible de : (i) caractériser la variabilité du rythme cardiaque en cas d’infection materno fœtale ou de méningite néonatale, (ii) mettre en évidence des facteurs prédisposant à la survenue d’évènements cardio-respiratoires post-vaccinaux, (iii) Identifier un éventuel retentissement neurologique de l’ictère néonatal par étude de la variabilité du rythme cardiaque. / The heart rate variability measures permitted to evaluate equilibrium state and perturbation in the regulation of cardio-vascular system.  These tools, based on heart rate variability analysis, helped to recognize associated disease state as early onset neonatal sepsis and non-infectious inflammatory response induced to immunization. An increase in global variability (SD), long term variability (SD, LF) and low approximated entropy (ApEn) were observed in the proven-sepsis full term infants. Importance of decrease in ApEn was correlated to the severity of sepsis assessed by blood markers. These suggest an association of sepsis with uncoordinated sympatho-vagal coactivation together with loss of adaptability. In premature infants, the risk of increase in cardio-respiratory events after the first immunization was associated with a specific pre-immunization profile: sympathetic predominance in heart rate control (high LF/HF ratio), abnormal oversimplification of heart rate variability and persistence rhythm control immaturity. Increased ApEn after immunization reflects a marginal result from adaptability of the heart rate to environmental changes without possibility to reserve in case of severe infection.

La sepsis neonatal precoz actualmente es una importante causa de morbilidad y mortalidad en el período neonatal, y su rápido diagnóstico puede ayudar a instaurar un tratamiento antibiótico eficaz. El objetivo de este trabajo es estudiar la relación de diferentes marcadores de sepsis, tanto bioquímicos como hematológicos, en muestras de sangre de cordón procedentes de neonatos; que previamente fueron clasificados en grupos de estudio en función de la presencia o ausencia de factores de riesgo (infeccioso, prematuridad, otras causas, o sepsis neonatal precoz confirmada). Los marcadores bioquímicos de sepsis (PCR, PCT e IL-6) y hematológicos en sangre de cordón no han resultado de utilidad en el diagnóstico de sepsis neonatal precoz, y los datos clínicos continúan siendo los más determinantes. Las nuevas técnicas de biología molecular en sangre de cordón fueron indicativas de la presencia de sospecha de infección en aquellos neonatos con uno o varios factores de riesgo infeccioso. / Early-onset neonatal sepsis is currently a major cause of morbidity and mortality in the neonatal period, and its rapid diagnosis can help to establish an effective antibiotic treatment. The objective of this work is to study the relationship of different markers of sepsis, both biochemical and haematological, in cord blood samples taken from infants; that were previously classified in groups according to the presence or absence of risk factors (infectious, prematurity, other causes, or confirmed early neonatal sepsis). Biochemical markers sepsis (CRP, PCT and IL-6) and haematological in cord blood have not proved useful in the diagnosis of early neonatal sepsis, and clinical data continue to be the most decisive. New techniques of molecular biology in cord blood were indicative of the presence of suspected infection in those neonates with one or several factors of risk of infection.