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Compined SONOPULMONARY Infection Score and APACHE Score in RICU Patients With VAP

Copmined Sono-pulmonary Score and APACHE Score as a Predictor of Outcome in Respiratory Intensive Care Unit Patients With Ventilator Associated Pneumonia

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06090032
Enrollment
53
Registered
2023-10-19
Start date
2023-11-01
Completion date
2024-12-30
Last updated
2023-10-19

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

Conditions

Respiratory Intensive Care Unit Patients With Ventilator Associated Pneumonia

Brief summary

Aim of the study : 1. Efficacy of Sono pulmonary infection score in combination with APACHE score in early diagnosis of VAP 2. Assessment of prediction role of combined SIPS SCORE and APACHE SCORE of outcome of VAP patient in RICU 3. Assessments of role of ultrasonography in early diagnosis and follow up of VAP

Detailed description

Pneumonia is a bacterial, viral or fungal infection of the lungs, which causes the alveoli of the lungs to fill up with microorganisms, fluid and inflammatory cells, preventing the lungs from functioning effectively\[1\]. Ventilator associated pneumonia (VAP) is the most common and a leading cause of death in intensive care unit patient. Ventilator associated pneumonia is caused by prolonged duration of mechanical ventilation ,and prolonged hospital stay, which increase hospital costs, possibly increase mortality rate, and increase antibiotic use in ICU patients , early identification of VAP is an important clinical goal to improve patient outcomes \[2\]. In recent year several scoring systems have been developed to evaluate the severity of illness and to predict the outcome, especially the mortality rate of intensive care unit patient, such as the Clinical pulmonary infection score (CPIS) or modified (CPIS)The Clinical Pulmonary Infection Score (CPIS) was developed to serves a tool to facilitate the diagnosis of ventilator-associated pneumonia (VAP),The CPIS is calculated on the basis of points assigned for various signs and symptoms of pneumonia (eg, fever and extent of oxygenation mpairment) ,a CPIS has an average between 0-12\>6 some studies suggest that CPIS \>6 may correlate with VAP Sonar is easy bedside test to diagnose pleural effusion, pneumonia pneumothorax , so recently lung ultrasonography (LUS) incorporated in evaluation and diagnosis of VAP in a new score called sono pulmonary infection score (SPIS) . The (SPIS), where is incorporated LUS finding instead of CXR finding of CPIS is assigned two points for ≥ one area of dynamic air bronchogram. One point was given for ≥ two sub-pleural consolidation or lobar consolidation areas or ≥ one sub-pleural, and ≥one lobar consolidationRecently (combination of SPIS with APACHE score in assessment of VAP is under research ).

Interventions

DEVICEUltrasound

We will use ultrasongraphy as a part of assessment in respiratory intensive care unit patients with ventilator associated pneumonia

Sponsors

Assiut University
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum

Inclusion criteria

1. Age \>18 yrs 2. Mechanically ventilated patients after first 48 hours of admission in RICU

Exclusion criteria

1. Age \<18 yrs 2. Patients already diagnosed pneumonia 3. Malignancy 4. patient refused participation in the study.

Design outcomes

Primary

MeasureTime frameDescription
Compined SONOPULMONARY infection score and APACHE score as a predictor of outcome in RICU patients with ventilator associated pneumoniaOne yearCompined SONOPULMONARY infection score and APACHE score as a predictor of outcome of respiratory intensive care unit patients with ventilator associated pneumonia

Contacts

Primary ContactLamiaa hussein Fouda, Master
Lamiaahussein5@gmail.com01140705774
Backup ContactSahar farghly youssif
Saherfr2009@yahoo.com+201002976708

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026