Chengqing Yang
Biographic Data
| ID | 9997921 |
|---|---|
| NAME | Chengqing Yang |
| GIVEN NAMES | Chengqing |
| FAMILY NAME | Yang |
| SIGNATURE | YANG C |
| AFFILIATIONS | Sanming First Hospital Affiliated to Fujian Medical University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Predicting length of hospital stay in community-acquired pneumonia using clinical and treatment factors
Background Community-acquired pneumonia (CAP) remains a leading cause of hospitalization worldwide. Accurate prediction of length of stay (LOS) is crucial for optimizing hospital bed turnover, improving clinical resource allocation, and facilitating the development of individualized discharge plans, thereby reducing the strain on healthcare systems. Methods We retrospectively analyzed 423 adults hospitalized with CAP from January 2022 to December…
Effect of a modified regimen on drug-sensitive retreated pulmonary tuberculosis
Background and objective Retreatment pulmonary tuberculosis (PTB) still accounts for a large proportion of tuberculosis, and the treatment outcome is unfavorable. The recurrence of retreatment PTB based on long-term follow-up has not been well demonstrated. This study aimed to evaluate effect of a modified regimen on drug-sensitive retreated pulmonary tuberculosis. Methods This multicenter cohort study was conducted in 29 hospitals from 23 region…
No prominent works on this page.
Effect of a modified regimen on drug-sensitive retreated pulmonary tuberculosis
Background and objective Retreatment pulmonary tuberculosis (PTB) still accounts for a large proportion of tuberculosis, and the treatment outcome is unfavorable. The recurrence of retreatment PTB based on long-term follow-up has not been well demonstrated. This study aimed to evaluate effect of a modified regimen on drug-sensitive retreated pulmonary tuberculosis. Methods This multicenter cohort study was conducted in 29 hospitals from 23 region…
Predicting length of hospital stay in community-acquired pneumonia using clinical and treatment factors
Background Community-acquired pneumonia (CAP) remains a leading cause of hospitalization worldwide. Accurate prediction of length of stay (LOS) is crucial for optimizing hospital bed turnover, improving clinical resource allocation, and facilitating the development of individualized discharge plans, thereby reducing the strain on healthcare systems. Methods We retrospectively analyzed 423 adults hospitalized with CAP from January 2022 to December…
Adverse effect (1 work) · Akaike information criterion (1 work) · Diagnosis and treatment of tuberculosis (1 work) · Infectious Diseases and Tuberculosis (1 work) · Internal Medicine (1 work) · Medicine (1 work) · Multivariate analysis (1 work) · Nosocomial Infections in ICU (1 work) · Piecewise (1 work) · Pneumonia (1 work)