Evidence map›Paper›PMID 30595282›Full record

ArticleIndian heart journal2018

Neutrophil-to-lymphocyte ratio predicts heart failure readmissions and outcomes in patients undergoing transcatheter aortic valve replacement.

Charl Khalil, Michael Pham, Abhishek C Sawant, Everett Sinibaldi, Aishwarya Bhardwaj, Tharmathai Ramanan, Reema Qureshi, Sahoor Khan, Amira Ibrahim, Smitha N Gowda and 8 more

Abstract read
In one paragraph

Article in Indian heart journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Trial
  2. Article
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  6. Article
  7. Article
  8. Article
  9. Article
  10. Circulating Monocyte Subsets and Transcatheter Aortic Valve Replacement.International journal of molecular sciences · 2022
    Review
  11. Article
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

18 authors.

Charl KhalilDivision of Cardiology, State University of New York at Buffalo, Buffalo, NY, USA.
Michael PhamDivision of Cardiology, State University of New York at Buffalo, Buffalo, NY, USA.
Abhishek C SawantDivision of Cardiology, State University of New York at Buffalo, Buffalo, NY, USA.
Everett SinibaldiDivision of Cardiology, State University of New York at Buffalo, Buffalo, NY, USA.
Aishwarya BhardwajDivision of Cardiology, State University of New York at Buffalo, Buffalo, NY, USA.
Tharmathai RamananDivision of Cardiology, State University of New York at Buffalo, Buffalo, NY, USA.
Reema QureshiDept of Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Sahoor KhanDivision of Cardiology, State University of New York at Buffalo, Buffalo, NY, USA.
Amira IbrahimDivision of Cardiology, State University of New York at Buffalo, Buffalo, NY, USA.
Smitha N GowdaDivision of Cardiology, State University of New York at Buffalo, Buffalo, NY, USA.
Alexander PomakovDivision of Cardiology, State University of New York at Buffalo, Buffalo, NY, USA.
Priya SadawarteDivision of Anesthesiology, NKPSIMS, Nagpur, India.
Ankush LahotiDivision of Cardiology, State University of New York at Buffalo, Buffalo, NY, USA.
Rosemary HansenDivision of Cardiology, State University of New York at Buffalo, Buffalo, NY, USA.
Shannon BaldoDivision of Cardiology, State University of New York at Buffalo, Buffalo, NY, USA.
Gerald ColernDivision of Cardiology, State University of New York at Buffalo, Buffalo, NY, USA.
Ashish PershadDivision of Interventional Cardiology, Banner University Medical Center, Phoenix, AZ, USA.
Vijay IyerDivision of Cardiology, State University of New York at Buffalo, Buffalo, NY, USA. Electronic address: vsiyer@buffalo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNeutrophil-to-lymphocyte ratio (NLR) has prognostic value in acute coronary syndromes. We investigated its utility for predicting heart failure (HF) admissions and major adverse cardiac outcomes in patients undergoing transcatheter aortic valve replacement (TAVR).

methodsData on clinical, laboratory, procedural, HF admissions, and major adverse cardiac events (MACEs) (all-cause mortality, recurrence of myocardial infarction requiring intervention, stroke) for 298 consecutive patients who underwent TAVR between 2012 and 2016 in our tertiary center were collected.

resultsAnalysis included 298 patients. The mean age was 83 ± 8 years, 51% were males, and 95% were Caucasians. The median Society of Thoracic Surgeons risk score was 9 (interquartile range: 6.3-11.8). Receiver-operating curve analysis identified a cutoff value of NLR of 4.0 for MACE after TAVR and sensitivity of 68% and specificity of 68% {area under the curve [AUC] = 0.65 [95% confidence interval (CI): 0.51-0.79], p = 0.03}. An NLR of 4.0 for HF hospitalizations after TAVR and sensitivity of 60% and specificity of 57% [AUC = 0.61 (95% CI: 0.53-0.69), p = 0.01]. NLR ≥4.0 before TAVR significantly predicted MACE after TAVR (68.4% vs. 31.6%, p = 0.02) and HF hospitalizations (58.3% vs. 41.7%, p = 0.03). NLR with TAVR risk score increased the predictive value for MACE after TAVR from AUC = 0.61 (95% CI: 0.50-0.72, p = 0.06) to AUC = 0.69 (95% CI: 0.57-0.80, p = 0.007).

conclusionNLR predicts all-cause mortality, MACE, and HF hospitalization 1 year after TAVR. NLR with TAVR risk score improved predictability for MACE. Further studies for prognostication using NLR are warranted.

Indexed as

LymphocytesNeutrophilsRisk AssessmentAged, 80 and overAortic Valve StenosisFemaleHeart FailureHumansIncidenceMalePatient ReadmissionPrognosisRetrospective StudiesRisk FactorsTranscatheter Aortic Valve ReplacementTreatment OutcomeHeart failureMACEMortalityNLRReadmissionsTAVR

Identifiers

PMID30595282
PMCPMC6310731

What OpenQuestion holds

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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.