HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

A Risk Prediction Model for Prolonged Length of Stay in Patients with Acute Exacerbations of Chronic Obstructive Pulmonary Disease: A Retrospective Study of 225 Patients in a Single Center in Kunming, China.

Abstract
BACKGROUND We aimed to develop an effective prediction model of prolonged length of stay (LOS) in patients with acute exacerbations of chronic obstructive pulmonary disease (AECOPD). MATERIAL AND METHODS We systematically enrolled 225 patients admitted for AECOPD to our hospital and divided them into a normal LOS group (≤7 days) and prolonged LOS group (>7 days). To analyze differences in laboratory data at different times, 3 logistic regression models were established. To develop the prediction model, all variables with statistical significance were included in the model. The area under the curve (AUC) was used to evaluate discrimination, and the Hosmer-Lemeshow test was used to assess the calibration of the model. RESULTS Factors found to be independently associated with the increased risk of prolonged LOS included the use of corticosteroids during hospitalization, elevated HCO₃⁻, decreased pH, and reductions in platelets (PLTs) and procalcitonin (PCT) between the fourth and first day of hospitalization. The risk prediction model including these factors had an AUC of 0.795, suggesting the good discrimination of our model. The Hosmer-Lemeshow test also showed good calibration of the model, which confirmed its good predictive performance. CONCLUSIONS A clinical prediction model was developed with good predictive performance, which could help clinicians identify patients with a higher risk of prolonged LOS, help shorten hospital stay, reduce the disease burden of patients, and improve the outcomes of AECOPD.
AuthorsLifen Yang, Meihua Li, Jingkui Shu, Yanxia Yang, Qian Huang
JournalMedical science monitor : international medical journal of experimental and clinical research (Med Sci Monit) Vol. 28 Pg. e934392 (Feb 09 2022) ISSN: 1643-3750 [Electronic] United States
PMID35136009 (Publication Type: Journal Article)
Chemical References
  • Adrenal Cortex Hormones
  • Procalcitonin
Topics
  • Acute Disease
  • Adrenal Cortex Hormones (administration & dosage)
  • Aged
  • Blood Platelets
  • China
  • Female
  • Humans
  • Hydrogen-Ion Concentration
  • Length of Stay (statistics & numerical data)
  • Male
  • Middle Aged
  • Procalcitonin (blood)
  • Pulmonary Disease, Chronic Obstructive (blood, physiopathology)
  • Retrospective Studies
  • Risk Assessment

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: