Aggregate index of systemic inflammation (AISI) in admission as a reliable predictor of mortality in COPD patients with COVID-19

• Published in: BMC pulmonary medicine 2023-03, Vol.23 (1), p.107-107, Article 107
• Main Authors: Hosseninia, Saeed, Ghobadi, Hassan, Garjani, Kara, Hosseini, Seyed Amir Hossein, Aslani, Mohammad Reza
• Format: Article
• Language: English
• Subjects: Aggregate index of systemic inflammation; Airway management; Blood platelets; Cardiovascular disease; Chronic obstructive pulmonary disease; COPD; Coronavirus; Coronaviruses; COVID-19; Cytokine storm; Data analysis; Diabetes; Hospitalization; Humans; Hypertension; Inflammation; Inflammatory diseases; Laboratories; Leukocytes; Leukocytes (neutrophilic); Lung diseases; Lung diseases, Obstructive; Lymphocytes; Medical prognosis; Monocytes; Mortality; Neutrophils; Normal distribution; Obstructive lung disease; Patient outcomes; Platelets; Pneumonia; Prognosis; Pulmonary Disease, Chronic Obstructive - complications; Pulmonology; Retrospective Studies; Risk factors; Severe acute respiratory syndrome coronavirus 2; Survival analysis; Tumor necrosis factor-TNF
• ISSN: 1471-2466; 1471-2466
• DOI: 10.1186/s12890-023-02397-5

The role of leukocytes and systemic inflammation indicators in predicting the severity and mortality of inflammatory diseases has been well reported, such as the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), neutrophil/lymphocyte*platelet ratio (NLPR), derived neutrophil/lymphocyte ratio (dNLR), aggregate index of systemic inflammation (AISI), as well as systemic inflammation response index (SIRI) and systemic inflammation index (SII). The purpose of the present study was to investigate the prognostic role of systemic inflammatory indicators in the mortality of chronic obstructive pulmonary disease (COPD) patients with COVID-19. This retrospective study included 169 COPD patients hospitalized with COVID-19. Demographic, clinical, and laboratory data were obtained from the patients' electronic records. The ability of systemic inflammation indeces to distinguish the severity of COVID-19 was determined by receiver operating characteristic (ROC) analysis, and survival probability was determined by the mean of Kaplan-Meier curves, with the endpoint being death. ROC curves showed that the AUD level was significant for WBC, MLR, SIRI, and AISI. Interestingly, Kaplan-Meier survival curves revealed that survival was lower with higher MLR (HR = 2.022, 95% CI = 1.030 to 3.968, P