Background <p>Hospitalized patients with interstitial lung disease (ILD) are at high risk of requiring mechanical ventilation (MV), which is associated with substantial mortality. This study investigated the predictive value of admission serum KL-6, a marker of alveolar epithelial injury, for MV need and in-hospital mortality in this population.</p> Methods <p>We conducted a single-center, prospective observational study of patients admitted with ILD. Serum KL-6 was measured at admission. The primary outcome was the requirement for MV during hospitalization, and the secondary outcome was all-cause in-hospital mortality. The predictive performance of KL-6 was assessed using receiver operating characteristic (ROC) curve analysis. Independent predictors were identified through multivariable logistic regression modeling.</p> Results <p>Among the 283 patients analyzed, 35 (12.4%) required MV. Admission serum KL-6 levels were significantly higher in patients who required MV compared to those who did not (median: 1420.5 vs. 839.8 U/mL, <i>p</i> &lt; 0.001), and in non-survivors compared to survivors (1770.1 vs. 1068.0 U/mL, <i>p</i> &lt; 0.01). KL-6 predicted the need for MV with a moderate area under the curve (AUC) of 0.70. The optimal predictive cut-off was 1016.5 U/mL. After multivariable adjustment for significant clinical variables, a KL-6 level ≥ 1016.5 U/mL remained an independent predictor of MV (adjusted odds ratios of 3.88 and 3.21 in two models, both <i>p</i> &lt; 0.01). Furthermore, patients with high KL-6 levels (≥ 1016.5 U/mL) had significantly lower in-hospital survival (log-rank <i>p</i> &lt; 0.001).</p> Conclusion <p>Admission serum KL-6 level serves as an independent biomarker for predicting the subsequent need for mechanical ventilation and is strongly associated with in-hospital mortality in patients hospitalized with ILD. Its measurement upon admission may facilitate early risk stratification and inform clinical management decisions.</p>

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Admission Serum KL-6 Predicts Mechanical Ventilation Requirement and Mortality in Hospitalized Interstitial Lung Disease Patients: A Single-Center Prospective Study

  • Xing He,
  • Shijie Zhang,
  • Jiao Wang,
  • Jibo Sun,
  • Jiaqi Ji,
  • Liqing Yang,
  • Lu Guo

摘要

Background

Hospitalized patients with interstitial lung disease (ILD) are at high risk of requiring mechanical ventilation (MV), which is associated with substantial mortality. This study investigated the predictive value of admission serum KL-6, a marker of alveolar epithelial injury, for MV need and in-hospital mortality in this population.

Methods

We conducted a single-center, prospective observational study of patients admitted with ILD. Serum KL-6 was measured at admission. The primary outcome was the requirement for MV during hospitalization, and the secondary outcome was all-cause in-hospital mortality. The predictive performance of KL-6 was assessed using receiver operating characteristic (ROC) curve analysis. Independent predictors were identified through multivariable logistic regression modeling.

Results

Among the 283 patients analyzed, 35 (12.4%) required MV. Admission serum KL-6 levels were significantly higher in patients who required MV compared to those who did not (median: 1420.5 vs. 839.8 U/mL, p < 0.001), and in non-survivors compared to survivors (1770.1 vs. 1068.0 U/mL, p < 0.01). KL-6 predicted the need for MV with a moderate area under the curve (AUC) of 0.70. The optimal predictive cut-off was 1016.5 U/mL. After multivariable adjustment for significant clinical variables, a KL-6 level ≥ 1016.5 U/mL remained an independent predictor of MV (adjusted odds ratios of 3.88 and 3.21 in two models, both p < 0.01). Furthermore, patients with high KL-6 levels (≥ 1016.5 U/mL) had significantly lower in-hospital survival (log-rank p < 0.001).

Conclusion

Admission serum KL-6 level serves as an independent biomarker for predicting the subsequent need for mechanical ventilation and is strongly associated with in-hospital mortality in patients hospitalized with ILD. Its measurement upon admission may facilitate early risk stratification and inform clinical management decisions.