Skip to content

Construction and validation of a machine learning-based model for predicting prognosis of community-acquired pneumonia.

Construction and validation of a machine learning-based model for predicting prognosis of community-acquired pneumonia.

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400093497
Enrollment
Unknown
Registered
2024-12-05
Start date
2025-01-01
Completion date
Unknown
Last updated
2024-12-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Community-acquired pneumonia

Interventions

Poor prognosis group for community-acquired pneumonia:No
Community-acquired pneumonia group with good prognosis:No

Sponsors

The Second People's Hospital of Lianyungang
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1.Age = 18 years; 2.Meets the diagnostic criteria for community-acquired pneumonia (CAP), with the specific diagnostic criteria as follows: CAP refers to lung parenchymal infectious inflammation acquired outside the hospital, including infections occurring during the average incubation period after hospital admission. It meets any one of the first four criteria plus the fifth criterion: (1) New or worsening respiratory symptoms; (2) Fever; (3) Lung consolidation signs and/or wet rales; (4) Peripheral white blood cell count >10×10^9/L or <4×10^9/L, with or without left shift; (5) Chest imaging shows newly appearing patchy or infiltrative shadows or interstitial changes with or without pleural effusion.

Exclusion criteria

Exclusion criteria: 1.Diagnosed with hospital-acquired pneumonia; 2.Diagnosed with healthcare-associated pneumonia; 3.Diagnosed with pulmonary tuberculosis, pulmonary embolism, atelectasis, pulmonary vasculitis, eosinophilic lung infiltration, non-infectious interstitial lung diseases, pulmonary tumors, and other pulmonary diseases; 4.Incomplete or missing clinical data.

Design outcomes

Primary

MeasureTime frame
30-day patient mortality rate;

Secondary

MeasureTime frame
Whether admitted to the intensive care unit;Whether mechanical ventilation or endotracheal intubation was used.;Whether complicated with septicemia;Whether diagnosed with severe pneumonia;

Countries

China

Contacts

Public ContactShen xiaozhu

The Second People's Hospital of Lianyungang

499062796@qq.com+86 158 9578 3306

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026