ABSTRACT
Introduction: In the pandemic, porlonged weaning(PW) of mechanical ventilation (wMV) of COVID patients in the intermediate respiratory care unit IRCU was performed. It was necessary to use predictive indexes for(wMV), which do not generate aerosolization of viral particles. Objetive: To develop a oredictive indexes for wMV and tracheostomy decannulation (TCHd) for COVID-19 pneumonia in IRCU. Method(s): The sample consists of 76 serial cases to the IRCU, in 2020 and 2021. Indexes were developed with an oxygenation variable (PaO2/FiO2) or (SatO2/FiO2), respiratory rate (RR) and corrected (C) in based alveolar ventilation (PCO2), the following indexes were developed as predictors of wMV;ventilation-oxygenation index IVOX= (PaFi/RR), IVOX corrected for PCO2 is IVOX-C=(IVOX x Oco2) and with SaFi the SIVOX-C= [(SaFi/RR) x PCO2]. The StatPlus 7.3 program forWindows was used of the Mann-Whitney U (M-WU) comparing their mean values, using binary logistic regression (BLR) and area under curve AUC ROC to compare their predictability. Result(s): Mean age 58,9 +/-14,4;male 53,7% and the stay in the IRCU was 16,7+/- 11 days, mortality of 28,3%(22);received MV (71,0%) 54. wMV was(70,4%)38 and TCHd was (67,3)35. The mean differrences in disconnected and non-diconnected from MV analyzed by M-WU are significante. An BLR model was built to analyze the predictive behavior ofIVOX, IVOX-C and SIVOX-C for wMV. It was observed that the three indexes are predictive, but IVOX-C and SIVOX-C have the highest predictive weight. In turn the AUC ROC was significance. Conclusion(s): The construction of a predictive indexes of wMV and TCHd in this sample the patients who reached the objective.