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Scoring Systems covid19

Role of Disease Severity Scoring Systems in Predicting Mortality covid19 Pts in AUH

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05308524
Enrollment
70
Registered
2022-04-04
Start date
2022-04-01
Completion date
2023-12-31
Last updated
2022-04-04

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

Conditions

ICU Scoring System in Covid 19

Brief summary

In this study, we planned to investigate the role and determine the predictive performance of both APACHE II and SAPS II scoring systems and compare them in COVID-19 patients admitted to the intensive care unit of Assiut University Hospital.

Detailed description

Since the start of the coronavirus disease 2019 (COVID-19) pandemic, intensive care units (ICUs) worldwide have struggled to treat affected patients who require a completely different approach to treatment than other patients * \[1\]\* .This study aims to evaluate the efficacy of single dose analgesia in combination with local anaesthesia to control pain during TUS guided procedures. It also aims to assess the effect of its use on procedure performance time and rate of complications occurrence compared to local anaesthesia alone.Although many severe cases are admitted to ICUs, it is unknown whether the conventional disease-severity scoring systems that were developed for ICU patients can be applied to patients with COVID-19.Several recent studies have used Acute Physiology and Chronic Health Evaluation (APACHE) and Simplified Acute Physiology Score (SAPS) to provide information on the clinical severity of COVID-19 * \[2-4\]\*. However, very few reports have examined their validity of applying them to patients with COVID-19.

Interventions

DIAGNOSTIC_TESTICU scoring system in covid 19

The intensive care unit (ICU) at Assiut University Hospital, which is supervised by the staff members of the Chest Diseases Department and designated to deal with critically ill Covid 19 patients.

Sponsors

Assiut University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 90 Years

Inclusion criteria

• * • This study will be conducted on laboratory-confirmed COVID-19 patients who will be transferred to the intensive care unit of Assiut University Hospital

Exclusion criteria

* Patients would be excluded from this study if they died or were discharged from the intensive care unit prior collection of data required for both the APACHE II and SAPS II scoring systems, if they were discharged before their outcomes were determined and if we could not obtain consent from them or their companions to participate in this study. All patients involved will be subjected to a full history with special stress on age, gender, special habits, and associated diseases. Information such as the patient's need for ventilatory support as well as the length of ICU stay will be entered. Also, the laboratory results and Imaging findings will be registered. Scores of APACHE II and SAPS II were calculated as illustrated in the previously published works \*\[5,6\]\* .Patients will be followed up until their outcome was determined.

Design outcomes

Primary

MeasureTime frameDescription
ICU scoring system in covid 19BaselineSAPS ,APACHE ICU scoring system in covid 19

Contacts

Primary ContactEbtesam Mohamed thabet, 1
ebtesamm582@gmail.com01020135853
Backup ContactAmany Omar Mohamed
amanyomd@hotmail.com0111252424 9

Outcome results

None listed

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