Evidence map›Paper›PMID 37003999›Full record

ArticleBMC pulmonary medicine2023

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

Saeed Hosseninia, Hassan Ghobadi, Kara Garjani, Seyed Amir Hossein Hosseini, Mohammad Reza Aslani

Open access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
14.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Saeed HosseniniaLung Diseases Research Center, Ardabil University of Medical Sciences, Ardabil, 5615780011, Iran.
Hassan GhobadiLung Diseases Research Center, Ardabil University of Medical Sciences, Ardabil, 5615780011, Iran.ORCID http://orcid.org/0000-0001-7480-5651
Kara GarjaniFaculty of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
Seyed Amir Hossein HosseiniFaculty of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
Mohammad Reza AslaniLung Diseases Research Center, Ardabil University of Medical Sciences, Ardabil, 5615780011, Iran. mraslani105@yahoo.com.ORCID http://orcid.org/0000-0003-1519-7611
Ardabil University of Medical Sciences · IRMashhad University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsThis 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.

resultsROC 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 < 0.05) and AISI (HR = 2.010, 95% CI = 1.048 to 3.855, P < 0.05) values. However, the multivariate Cox regression model showed that only AISI was significantly associated with survival.

conclusionAISI in COPD patients with COVID-19 was a reliable predictor of mortality.

Indexed as

COVID-19Pulmonary Disease, Chronic ObstructiveHumansInflammationNeutrophilsPrognosisRetrospective StudiesAggregate index of systemic inflammationCOPDCoronavirusCOVID-19

Identifiers

PMID37003999
PMCPMC10063934
OpenAlexW4362521195

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.