# Frailty Screening in World Trade Center Responders: Validation of the WTC Clinical Frailty Index

## TL;DR

This study validates a new tool to screen for frailty in World Trade Center responders, who face early aging-related health risks due to environmental exposures.

## Contribution

The study validates the WTC Clinical Frailty Index as a practical screening tool for frailty in a unique population of WTC responders.

## Key findings

- The WTC FI-Clinical showed strong discrimination for frailty with an AUC of 0.907.
- An optimal cutoff of 0.237 was identified, classifying 27.2% of responders as frail.
- The tool extends frailty detection to populations with unique environmental exposures.

## Abstract

World Trade Center (WTC) responders are a unique cohort whose environmental exposures place them at increased risk for earlier onset of aging-related conditions, including frailty. Detecting frailty in this group is critical for guiding interventions to support healthy aging. The WTC Clinical Frailty Index (WTC FI-Clinical) is a continuous measure constructed from 30 health items routinely collected during responder monitoring visits. We aimed to use the frailty phenotype to validate and establish a meaningful cutoff for identifying frailty using the WTC FI-Clinical. We enrolled WTC responders aged 50 and older who received annual health monitoring at Mount Sinai’s WTC Health Program (WTCHP). Frailty was measured using both the frailty phenotype and WTC FI-Clinical. ROC (Receiver Operation Characteristic) analysis, with the frailty phenotype as reference, was used to assess discrimination and identify an optimal cutoff for the WTC FI-Clinical. Among 390 responders (median age 62, IQR 57–67), the frailty phenotype classified 54.1% robust, 40.8% pre-frail, and 5.1% frail. The WTC FI-Clinical demonstrated good discrimination for frailty (AUC 0.907, 95% CI: 0.858–0.952), and ROC analysis identified an optimal cutoff of 0.237, corresponding to 85% sensitivity and 76% specificity. Using this cutoff, 27.2% were classified as frail by the WTC FI-Clinical (versus 5.1% by the phenotype). These findings support its use as a practical screening tool to identify at-risk responders and guide healthy aging interventions within the WTCHP. It also extends frailty detection beyond traditional older cohorts, offering insight into how frailty can emerge earlier in populations with unique environmental exposures.

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Source: https://tomesphere.com/paper/PMC12762247