<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2448-8909</journal-id>
<journal-title><![CDATA[Medicina crítica (Colegio Mexicano de Medicina Crítica)]]></journal-title>
<abbrev-journal-title><![CDATA[Med. crít. (Col. Mex. Med. Crít.)]]></abbrev-journal-title>
<issn>2448-8909</issn>
<publisher>
<publisher-name><![CDATA[Colegio Mexicano de Medicina Crítica A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2448-89092023000300178</article-id>
<article-id pub-id-type="doi">10.35366/111292</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Evaluación del poder mecánico como predictor de falla en el retiro de la ventilación mecánica en pacientes críticos hospitalizados en la Unidad de Cuidados Intensivos]]></article-title>
<article-title xml:lang="en"><![CDATA[Assessment of mechanical power as a predictor of failure to wean mechanical ventilation in critical patients hospitalized in the Intensive Care Unit]]></article-title>
<article-title xml:lang="pt"><![CDATA[Avaliação da potência mecânica como preditor de falha no desmame da ventilação mecânica em pacientes em estado crítico internados na Unidade de Terapia Intensiva]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aguirre Ríos]]></surname>
<given-names><![CDATA[Pablo Alfonso]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martínez Romero]]></surname>
<given-names><![CDATA[Karen Saraí]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ramírez Barba]]></surname>
<given-names><![CDATA[Christian]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Centro Médico Nacional de Occidente Hospital de Especialidades ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2023</year>
</pub-date>
<volume>37</volume>
<numero>3</numero>
<fpage>178</fpage>
<lpage>185</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2448-89092023000300178&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2448-89092023000300178&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2448-89092023000300178&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[resumen está disponible en el texto completo]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract:  Introduction:  the weaning of mechanical ventilation is the objective of the intensivist and even with scientific advances, the prediction of the result is difficult. Authors have demonstrated the effect of delaying the continuation of weaning on mortality and its outcome and the presence of complications due to prolonged MV. The risk of VALI is greater in relation to the time of MV and is proportional to the result obtained in the mechanical monitoring by the established ventilation mode. This presents as a flow-related excess work of breathing. Related to VALI, driving pressure and mechanical power were identified as mathematical methods that include mechanical monitoring variables and determine a value that is directly associated with statistical power for damage identification. Authors correlated PM values with mortality, observing that this, generated by ventilation in spontaneous mode in assist-proportional ventilation in a EVP, had an impact on the successful withdrawal of mechanical ventilation compared to patients who maintained a continuos mandatory mode. However, it was not possible associate the same cohort point as a predictor of weaning success, so it was decided to develop this research and find a possible association of the mechanical power value obtained with de EVP outcome.  Objective:  to evaluate the mechanical power as a predictor of failure in the weaning of mechanical ventilation in critical patients hospitalized in the intensive care unit of the Centro Médico Nacional de Occidente.  Material and methods:  a retrospective cohort study was carried out. It was evaluated by the ethics and research committee of the CMNO Hospital de Especialidades. A ROC curve was performed, obtaining a cohort point for the MP variable with the best Youden index and, based on the results of the weaning, they were divided into two groups for analysis. Like success and failure. descriptive statistic were used for qualitative variables. For normality, the Kolmogorov-Smirnov test was used. Sensitivity, specificity and predictive values of mechanical power were calculated. Risk estimate (likelohood ratios and 95% confidence intervals). Statistical significance was established as p &lt; 0.05.  Results:  we analysed a sample of 63 patients admitted to the ICU of CMNO who met the inclusion criteria, documenting a successful outcome of the MV weaning test in 85.7% (54). We performed a ROC curve, obtaining a cohort point of 8.10 J/min, perform a by Youden index of 0.537, with an AUC of 0.690. Sensitivity of 66.7%, 1-specificity of 13%, confidence interval at 95% of 0.448-0.932 and a statistical significance of 0.069. The MP variable was dichotomized into two subgroups, less than or equal to 8.10 J/min and greater than 8.11 J/min, and a cohort point sensitivity of 87% and a specificity of 66.7% were obtained, with a PPV of 94% and NPV of 46.2%, 33.3% false positives and 12.9% false negatives. With a Fisher exact significance of 0.002. Spearman&#8217;s correlation p = 0.000. Kolmogorov-Smirnov test of 1.379 and p = 0.045.  Conclusions:  the predictive power of the average mechanical power is not useful as a predictor of success or failure in weaning from mechanical ventilation.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo:  Introdução:  a retirada da ventilação mecânica (weaning) é objetivo do intensivista e mesmo com os avanços científicos, a previsão do resultado é difícil. Autores demonstraram o efeito de retardar a continuação do weaning sobre a mortalidade e seu desfecho e a presença de complicações decorrentes da VM prolongada. O risco de VALI é maior em relação ao tempo em VM e é proporcional ao resultado obtido na monitorização mecânica para o modo ventilatório estabelecido. Isso se apresenta como excesso de trabalho respiratório causado pelo fluxo. Em relação ao VALI, a driving pressure e a potência mecânica foram identificadas como métodos matemáticos que incluem variáveis de monitoramento mecânico e determinam um valor diretamente associado e com poder estatístico para identificação de danos. Os autores correlacionaram os valores de PM com a mortalidade, observando que a mortalidade, gerada pela ventilação espontânea na ventilação assist-proporcional em PVE, teve impacto no desmame bem-sucedido da ventilação mecânica em comparação com pacientes que mantiveram um modo mandatório contínuo. Porém, não foi possível associar o mesmo ponto de coorte como preditor do sucesso do weaning, portanto, optou-se por desenvolver esta pesquisa e encontrar uma possível associação do valor da potência mecânica obtida com o resultado do PVE.  Objetivo:  avaliar a potência mecânica como preditor de falha na retirada da ventilação mecânica em pacientes em estado crítico internados em Unidade de Terapia Intensiva.  Material e métodos:  tipo de estudo: coorte retrospectiva. Foi avaliado pelo comitê de ética e pesquisa do Hospital de Especialidades CMNO. Foi gerada a curva ROC, obtendo-se o ponto de corte da variável PM com melhor índice de Youden e com base nos resultados do teste de retirada da ventilação, foram divididos em dois grupos para análise. Como o sucesso e o fracasso. Estatística descritiva foi utilizada para as variáveis qualitativas. Para normalidade, utilizou-se o teste de Kolmogorov-Smirnov. Calculou-se sensibilidade, especificidade e valores preditivos de potência mecânica. Estimativa de risco (razões de probabilidade e intervalos de confiança de 95%). A significância estatística foi estabelecida como p &lt; 0.05.  Resultados:  foi realizada a análise de uma amostra de 63 pacientes internados na UTI do CMNO que atenderam aos critérios de inclusão, documentando o sucesso do teste de retirada da VM em 85.7% (54). Realizamos a curva ROC obtendo ponto de corte de 8.10 Jules/min, rendimento pelo índice de Youden de 0.537, com AUC de 0.690. Sensibilidade de 66.7%, 1-Especificidade de 13%, intervalo de confiança de 95% de 0.448-0.932 e significância estatística de 0.069. A variável PM foi dicotomizada em dois subgrupos, menor ou igual a 8.10 J/min e maior que 8.11 J/min, obtendo-se sensibilidade de corte de 87% e especificidade de 66.7%, com VPP de 94% e VPN de 46.2%, 33.3% falsos positivos e 12.9% falsos negativos. Com uma significância exata por Fisher de 0.002. Correlação de Spearman p = 0.000. Teste de Kolmogorov-Smirnov de 1.379 e um p de 0.045.  Conclusões:  o poder preditivo da potência mecânica média não é útil como preditor de sucesso ou insucesso no desmame da ventilação mecânica.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[poder mecánico]]></kwd>
<kwd lng="es"><![CDATA[retiro de la ventilación mecánica]]></kwd>
<kwd lng="es"><![CDATA[factor predictor de falla]]></kwd>
<kwd lng="es"><![CDATA[paciente crítico]]></kwd>
<kwd lng="en"><![CDATA[mechanical power]]></kwd>
<kwd lng="en"><![CDATA[weaning of the mechanical ventilation]]></kwd>
<kwd lng="en"><![CDATA[failure predictor]]></kwd>
<kwd lng="en"><![CDATA[critical patient]]></kwd>
<kwd lng="pt"><![CDATA[potência mecânica]]></kwd>
<kwd lng="pt"><![CDATA[suspensão da ventilação mecânica]]></kwd>
<kwd lng="pt"><![CDATA[fator preditor de falha]]></kwd>
<kwd lng="pt"><![CDATA[paciente em estado crítico]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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