Risk Factors for Carbapenem-Resistant Klebsiella Pneumoniae: Meta-Analysis Results

Aggregating the results of a systematic review and meta-analysis of 17 studies comprising 5,303 cases to identify risk factors for Carbapenem-resistant Klebsiella pneumoniae (CRKP) infection. It was authored by Zhenghaoyu Huang and published in March 2026. The analysis computed pooled odds ratios for factors like ICU admission, specific comorbidities, and antimicrobial exposure.

Use Cases

• Analyze the pooled odds ratios for risk factors like ICU admission and cardiovascular disease to prioritize clinical interventions.
• Compare the heterogeneity statistics (I², Q-test) across different risk factor models to assess study consistency.
• Examine subgroup analysis results, such as the differential risk from mechanical ventilation in developing versus developed countries.
• Validate the reported confidence intervals for high-magnitude risk factors like tetracycline exposure against the original study data.

Strengths

• Aggregates evidence from 17 studies with a total of 5,303 cases.
• Provides specific statistical measures including pooled odds ratios and 95% confidence intervals for each analyzed risk factor.
• Includes heterogeneity assessment using I² statistic and Q-test, indicating methodological rigor.

Limitations

• The underlying data is a summary of study results, not patient-level records, limiting granular analysis.
• The high odds ratio for tetracycline exposure is noted as potentially influenced by a limited number of studies and confounding.
• The dataset is small (42.6 KB), containing only the meta-analysis results table.

Provenance

Source

Systematic review of studies from PubMed and Web of Science.

Collection Method

Meta-analysis following PRISMA guidelines, with study quality assessed via Newcastle-Ottawa Scale.

Time Range

Literature search covered studies up to October 2025.

Freshness

Last updated March 2026, based on a literature search up to October 2025.

Geography

Studies included are international, with subgroup analysis comparing developing and developed countries.