Evidence map›Paper›PMID 35103920›Full record

ArticleGeneral thoracic and cardiovascular surgery2022

Predictive value of neutrophil to lymphocyte ratio on acute kidney injury after on-pump coronary artery bypass: a retrospective, single-center study.

Zhang Guangqing, Cheng Liwei, Ling Fei, Zheng Jianshe, Zeng Guang, Zhu Yan, Cao Jianjun, Tian Ming, Chen Hao, Liu Wei

Abstract read
In one paragraph

Article in General thoracic and cardiovascular surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
–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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Zhang Guangqing *Department of Cardiothoracic Macrovascular Surgery, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, 442008, Hubei, People's Republic of China.
Cheng Liwei *Department of Pulmonary and Critical Care Medicine, Hanchuan People's Hospital, Xiaogan, 432300, Hubei, People's Republic of China.
Ling Fei *School of Nursing, Hubei University of Medicine, Shiyan, 442000, Hubei, People's Republic of China.
Zheng JiansheDepartment of Cardiothoracic Macrovascular Surgery, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, 442008, Hubei, People's Republic of China.
Zeng GuangDepartment of Cardiothoracic Macrovascular Surgery, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, 442008, Hubei, People's Republic of China.
Zhu YanDepartment of Cardiothoracic Macrovascular Surgery, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, 442008, Hubei, People's Republic of China.
Cao JianjunDepartment of Cardiothoracic Macrovascular Surgery, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, 442008, Hubei, People's Republic of China.
Tian MingDepartment of Nephrology, Wuhan Fourth Hospital, Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, People's Republic of China. patianm@sina.com.ORCID http://orcid.org/0000-0002-0945-1516
Chen HaoDepartment of Cardiothoracic Macrovascular Surgery, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, 442008, Hubei, People's Republic of China. chenhaodfyy@126.com.
Liu WeiDepartment of Cardiothoracic Macrovascular Surgery, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, 442008, Hubei, People's Republic of China. heyixue1234@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the predictive value of preoperative neutrophil to lymphocyte ratio (NLR) on acute kidney injury (AKI) after on-pump coronary artery bypass (ONCAB).

methodsPatients who underwent elective ONCAB for coronary heart disease were included. NLR was calculated according to the results of preoperative routine blood test, patients were divided into non-AKI and AKI groups, and the differences in clinical baseline data between the two groups were compared.

resultsA total of 154 patients were included in this study, including 57 (37%) with postoperative AKI and 97 (63%) without AKI. Compared with the patients in non-AKI group, those in AKI group had higher NLR (2.63 (1.83, 3.505) vs. 2.06 (1.7, 2.56), p = 0.002), higher serum creatinine (78 (67, 98.5) vs. 70.9 ± 16.8 umol/L, p < 0.001), longer cardiopulmonary bypass time, and longer aortic cross clamp time. After dividing patient into tertiles based on NLR, those with higher NLR had higher risk of postoperative AKI than those with lower NLR (30% vs. 25% vs. 55.8%, p for trend = 0.003). Patients in Tertile2 and Tertile3 had higher NLR compared to those in Tertile1 (p < 0.05); multivariate logistic regression analysis showed patients with elevated preoperative NLR and blood creatinine had higher risk of postoperative AKI. ROC curve showed that patients' preoperative NLR combined with blood creatinine had better predictive value for postoperative AKI.

conclusionElevated preoperative NLR is associated with AKI after ONCAB, and had prognostic utility independent of other recognized risk factors.

Indexed as

Acute Kidney InjuryNeutrophilsCoronary Artery BypassCreatinineHumansLymphocytesPostoperative ComplicationsRetrospective StudiesRisk FactorsCreatinineAcute kidney injuryCardiopulmonary bypassCoronary artery bypass graftingNeutrophil to lymphocyte ratio

Identifiers

PMID35103920
PMCPMC9206599

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.