Scoring Systems covid19

NCT ID: NCT05308524

Last Updated: 2022-04-04

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

70 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-04-01

Study Completion Date

2023-12-31

Brief Summary

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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

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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.

Conditions

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ICU Scoring System in Covid 19

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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ICU 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.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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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.
Minimum Eligible Age

18 Years

Maximum Eligible Age

90 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Assiut University

OTHER

Sponsor Role lead

Responsible Party

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Ebtesam Mohamed Thabet

resident doctor

Responsibility Role PRINCIPAL_INVESTIGATOR

Central Contacts

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Ebtesam Mohamed thabet, 1

Role: CONTACT

01020135853

Amany Omar Mohamed

Role: CONTACT

0111252424 9

References

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Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis. 2020 May;20(5):533-534. doi: 10.1016/S1473-3099(20)30120-1. Epub 2020 Feb 19. No abstract available.

Reference Type BACKGROUND
PMID: 32087114 (View on PubMed)

Michard F, Vieillard-Baron A. Critically ill patients with COVID-19: are they hemodynamically unstable and do we know why? Intensive Care Med. 2021 Feb;47(2):254-255. doi: 10.1007/s00134-020-06238-5. Epub 2020 Sep 10. No abstract available.

Reference Type BACKGROUND
PMID: 32910203 (View on PubMed)

Other Identifiers

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ICU scoring system in covid19

Identifier Type: -

Identifier Source: org_study_id

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