Evidence map›Paper›PMID 36104573›Full record

ArticleLung2022

Serum Creatinine/Cystatin C Ratio as a Predictor of In-hospital Mortality in Patients Hospitalized with Acute Exacerbation of Chronic Obstructive Pulmonary Disease.

Zhixiang Chen, Lei Zha, Xiao Ma, Jing Xu, Dandan Huang, Wenlong Wu, Long Chen, Feng Yang, Weiling Liao, Wenhua Wang

Abstract read
In one paragraph

Article in Lung, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

10 authors.

Zhixiang Chen *Department of Respiratory and Critical Care Medicine, Wuhu Hospital of Traditional Chinese Medicine, No. 430, Jiuhua South Road, Wuhu, Anhui, China. 13956202494@163.com.ORCID 0000-0003-2794-598X
Lei Zha *Department of Emergency and Critical Care, Conch Hospital of Anhui Medical University, No. 327, Jiuhua South Road, Wuhu, Anhui, China.ORCID 0000-0003-4897-0703
Xiao MaDepartment of Respiratory and Critical Care Medicine, Wuhu Hospital of Traditional Chinese Medicine, No. 430, Jiuhua South Road, Wuhu, Anhui, China.
Jing XuDepartment of Respiratory and Critical Care Medicine, Wuhu Hospital of Traditional Chinese Medicine, No. 430, Jiuhua South Road, Wuhu, Anhui, China.
Dandan HuangDepartment of Respiratory and Critical Care Medicine, Wuhu Hospital of Traditional Chinese Medicine, No. 430, Jiuhua South Road, Wuhu, Anhui, China.
Wenlong WuDepartment of Respiratory and Critical Care Medicine, Wuhu Hospital of Traditional Chinese Medicine, No. 430, Jiuhua South Road, Wuhu, Anhui, China.
Long ChenDepartment of Respiratory and Critical Care Medicine, Wuhu Hospital of Traditional Chinese Medicine, No. 430, Jiuhua South Road, Wuhu, Anhui, China.
Feng YangDepartment of Respiratory and Critical Care Medicine, Postgraduate School of Wuhu Hospital of Traditional Chinese Medicine Affiliated With Anhui University of Traditional Chinese Medicine, No. 430, Jiuhua South Road, Wuhu, Anhui, China.
Weiling LiaoDepartment of Respiratory and Critical Care Medicine, Postgraduate School of Wuhu Hospital of Traditional Chinese Medicine Affiliated With Anhui University of Traditional Chinese Medicine, No. 430, Jiuhua South Road, Wuhu, Anhui, China.
Wenhua WangDepartment of Respiratory and Critical Care Medicine, Postgraduate School of Wuhu Hospital of Traditional Chinese Medicine Affiliated With Anhui University of Traditional Chinese Medicine, No. 430, Jiuhua South Road, Wuhu, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLow serum creatinine/cystatin C ratio (CCR) is associated with unfavorable characteristics in patients with chronic obstructive pulmonary disease (COPD); however, the relationship between CCR and in-hospital mortality of patients with acute exacerbation of COPD (AECOPD) is unexplored. Our objective was to assess the value of CCR for predicting in-hospital mortality of patients hospitalized with AECOPD.

methodsPatients with AECOPD (n = 597) were retrospectively enrolled. Patient's clinical characteristics and laboratory tests, including serum cystatin C and creatinine, were reviewed. The prediction value of CCR was evaluated using area under the receiver operating characteristic curve (AUC) values. Factors potentially impacting in-hospital mortality were investigated using univariate and multivariate logistic regression analyses.

resultsMortality rate during hospitalization was 10.05%. CCR was lower in non-surviving vs. survived patients (41.67 vs. 61.52, P < 0.001). AUC value for CCR for in-hospital mortality prediction was 0.79 [95% confidence interval (CI) 0.73-0.85]. On multivariate logistic regression analysis, in-hospital mortality was strongly associated with CCR < 52.27 [odds ratio (OR) 6.23, 95% CI (3.00-12.92), P < 0.001], age ≥ 81 years [OR 2.97, 95% CI (1.20-7.37), P = 0.019], oxygenation index < 300 [OR 3.28, 95% CI (1.27-8.44), P = 0.014], CRP > 8 mg/L [OR 1.84, 95% CI (1.15-2.95), P = 0.012], and D-dimer > 500 ng/L [OR 5.19, 95% CI (1.51-17.79), P = 0.009].

conclusionsCCR was significantly lower, and is a potential prognostic indicator, in patients with AECOPD who died during hospitalization.

Indexed as

Cystatin CPulmonary Disease, Chronic ObstructiveAged, 80 and overCreatinineDisease ProgressionHospitalizationHospital MortalityHumansRetrospective StudiesCreatinineCystatin CAcute exacerbationChronic obstructive pulmonary diseaseMortalitySerum creatinine/cystatin C ratio

Identifiers

PMID36104573
PMCPMC9526688

What Socratic holds

Textmetadata
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 Socratic graph.