ALS Patient Data for Respiratory Insufficiency Risk Nomogram, 142 Patients

142 ALS patients from the First Hospital of Shanxi Medical University were assessed from August 2020 to June 2023 to develop a risk prediction tool. A nomogram was created using neck flexor muscle strength and bulbar onset as predictors, achieving an AUC of 0.823. This dataset, authored by Huifen Wang, supports the development of baseline screening tools for respiratory risk in ALS.

Use Cases

• Developing a risk stratification model for respiratory insufficiency based on clinical predictors like neck flexor strength and bulbar onset.
• Validating predictive nomograms for amyotrophic lateral sclerosis using internal bootstrap resampling methods.
• Analyzing the association between readily available clinical measures and pulmonary function test outcomes.

Strengths

• Includes data from 142 ALS patients with a defined outcome measure (21.1% had baseline respiratory insufficiency).
• Model performance is quantitatively reported with an AUC of 0.823 and 95% confidence intervals.
• The study methodology is detailed, including multivariable logistic regression and internal validation with 1,000 bootstrap iterations.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a single hospital cohort; the description notes external validation in larger multicenter cohorts is warranted.

Provenance

Source

First Hospital of Shanxi Medical University

Collection Method

Retrospective study assessing clinical data and pulmonary function tests during a single hospital stay.

Time Range

August 2020 to June 2023

Freshness

Last updated 2026-04-22 07:06:23; freshness should be verified.

Geography

Likely China (based on hospital location)