Evidence map›Paper›PMID 31576488›Full record

ArticleClinical rheumatology2020

Infectious profile in inpatients with ANCA-associated vasculitis: a single-center retrospective study from Southern China.

Minxi Lao, Mingcheng Huang, Chen Li, Hao Li, Qian Qiu, Zhongping Zhan, Dongying Chen

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Clinical rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Insights into the paradoxical effect of smoking on vasculitis: a comprehensive review.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Observational
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

7 authors at 1 institution in 1 country.

Minxi Lao *Department of Rheumatology, The First Affiliated Hospital of Sun Yat-sen University, No 58, Zhongshan 2nd Road, Guangzhou, 510080, China.
Mingcheng Huang *Department of Rheumatology, The First Affiliated Hospital of Sun Yat-sen University, No 58, Zhongshan 2nd Road, Guangzhou, 510080, China.
Chen LiDepartment of Geriatrics, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Hao LiDepartment of Rheumatology, The First Affiliated Hospital of Sun Yat-sen University, No 58, Zhongshan 2nd Road, Guangzhou, 510080, China.
Qian QiuDepartment of Rheumatology, The First Affiliated Hospital of Sun Yat-sen University, No 58, Zhongshan 2nd Road, Guangzhou, 510080, China.
Zhongping ZhanDepartment of Rheumatology, The First Affiliated Hospital of Sun Yat-sen University, No 58, Zhongshan 2nd Road, Guangzhou, 510080, China. zhanchuyue@163.com.ORCID http://orcid.org/0000-0003-1104-3826
Dongying ChenDepartment of Rheumatology, The First Affiliated Hospital of Sun Yat-sen University, No 58, Zhongshan 2nd Road, Guangzhou, 510080, China. cdongying@163.com.
Sun Yat-sen University · CN

Funding

Guangdong Medical Research Foundation A2018027National Natural Science Foundation of China 81601403National Natural Science Foundation of China 81603435Natural Science Foundation of Guangdong Province 2018A0303130294
6 · The paper itself

Abstract

objectivesInfection is a common complication in ANCA-associated vasculitis (AAV). The study goal was to investigate the infectious profile in patients with AAV from Southern China.

methodsA retrospective study was performed on the inpatients from the First Affiliated Hospital of Sun Yat-sen University from 2012 to 2017. Demographic and clinical characteristics were recorded.

resultsA total of 132 AAV inpatients with 174 episodes of infection (prevalence, 63.8%) were included. Lung was the most commonly involved. Ninety-six (72.7%) patients developed infection during the first 6 months after AAV diagnosis. Bacteria (75.9%) were the prominent microbes. Gram-negative bacteria were predominant (71.4%). The most frequently isolated bacteria were P. aeruginosa (16.7%) and A. baumannii (16.7%). Mixed infection accounted for 14.9% of the episodes, while fungal infection accounted for 6.3%. Mortality rate was 12.9% (17/132). Six deceased patients (46.2%) were infected with multiple pathogens. In multivariate analysis, smoking (odds ratio (OR) 2.38, 95% confidence interval (CI) 1.13-5.03, P = 0.02), kidney involvement (OR 2.56, 95% CI 1.11-5.88, P = 0.03), lymphopenia (OR 2.33, 95% CI 1.20-4.55, P = 0.01), and dialysis (OR 3.06, 95% CI 1.14-8.20, P = 0.03) were associated with infection in patients with AAV.

conclusionsBacteria, especially Gram-negative bacteria, were the major pathogens in Chinese AAV patients. Mixed infection was a great threat to death. Infection tended to develop within the 6 months after AAV diagnosis. Smoking, kidney involvement, dialysis, and lymphopenia increased the risk of infection in patients with AAV.Key Points• Infection tended to develop within the 6 months after AAV diagnosis.• Gram-negative bacteria were the leading pathogens.• Smoking, kidney involvement, dialysis, and lymphopenia increased the risk of infection in patients with AAV.

Indexed as

AdolescentAdultAgedAged, 80 and overAnti-Neutrophil Cytoplasmic Antibody-Associated VasculitisChinaFemaleHumansImmunosuppressive AgentsInfectionsMaleMiddle AgedPrevalenceRetrospective StudiesYoung AdultImmunosuppressive AgentsANCA-associated vasculitisBronchiectasisGlucocorticoidInfectionLymphopenia

Identifiers

PMID31576488
OpenAlexW2977628667

What OpenQuestion 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 OpenQuestion graph.