Values of serum PCT, NLR, PLR and CPIS in diagnosis of ventilator-associated pneumonia and prediction of short-term prognosis of critically ill patients

OBJECTIVE To explore the clinical values of serum procalcitonin (PCT), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR) and clinical pulmonary infection score (CPIS) in diagnosis of ventilator-associated pneumonia (VAP) and prediction of short-term prognosis of the critically ill patients. METHODS A total of 90 critically ill patients who underwent mechanical ventilation in Anyang People's Hospital from Jun 2020 to Dec 2021 were recruited as the research subjects and were divided into the VAP group with 26 cases and the non-VAP group with 64 cases according to the status of VAP. The subjects were also divided into the death group with 16 cases and the survival group with 74 cases according to the status of 28-day mortality. The influencing factors for VAP and 28-day mortality were analyzed, and the predictive values of the indexes were analyzed by means of receiver operating characteristic (ROC) curves. RESULTS Multivariate analysis showed that GCS less than 3 points and increase of CPIS 48 hours after ventilation were the influencing factors for VAP (P<0.05); ROC curve analysis indicated that the joint detection of PCT, NLR, PLR and CPIS 48 hours after ventilation had higher value in prediction of VAP(P<0.05). Multivariate analysis showed that the complication with VAP was an influencing factor for short-term death(P<0.05); ROC curve analysis indicated that the joint detection of VAP, GCS, NLR and PLR 72 hours after ventilation had significantly higher value in prediction of short-term death(P<0.05). CONCLUSION The rise of PCT, NLR, PLR and CPIS 48 hours after ventilation may significantly increase the risk of VAP in the critically ill patients, and the joint detection of the above indexes has high clinical value in prediction of VAP. In addition, the complication with VAP, GCS less than 3 points, and rise of NLR and PLR 72 hours after ventilation may increase the risk of short-term death of the critically ill patients, and the joint detection of the above indexes has high value in prediction of short-term death.