Dataset for: Microbiological spectrum and multidrug-resistant organism burden among cultur

A 14-month clinical audit from February 2025 to March 2026 describes the microbiological spectrum and multi-drug resistant organism burden among culture-positive surgical site infections. The de-identified dataset from Parul Sevashram Hospital in Gujarat, India, includes raw extracts, cleaning logs, and analysis-ready files. Author Urvish Joshi published the data under a CC-BY-4.0 license in May 2026.

Use Cases

• Profiling the prevalence of Gram-negative organisms in surgical site infections based on the study's specific focus.
• Analyzing correlates of drug-resistant isolates, as mentioned in the description as a primary aim.
• Studying the relationship between operative duration and infection characteristics, a stated focus of the dataset.
• Benchmarking multi-drug resistant organism burden in a rural tertiary-care hospital context.

Strengths

• Includes comprehensive data cleaning and variable derivation logs, providing transparency into the processing pipeline.
• Dataset is de-identified and received ethical approval (PU-IECHR ECR/702/Inst/GJ/2015/RR-21/10807) with a waiver of consent.
• Covers a defined 14-month period from February 2025 to March 2026 at a specific rural tertiary-care hospital.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download from the provided README.
• The 217.0 KB size indicates a very limited scope, likely representing a small case series from a single institution.

Provenance

Source

Parul Sevashram Hospital, Gujarat, India.

Collection Method

Retrospective clinical audit of hospital records.

Time Range

February 2025 to March 2026.

Freshness

Last updated 2026-05-21 13:05:56; freshness should be verified.

Geography

Rural Gujarat, India.