Comparison to Early Detect of the Sepsis

NCT ID: NCT05107297

Last Updated: 2021-11-04

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

120 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-11-01

Study Completion Date

2025-02-01

Brief Summary

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The aim of the study was to identify co-variates associated with 30-day mortality in septic patients admitted to the emergency department in order to improve morbidity \& mortality as a sequence of sepsis in Assiut \& Suez Canal Universities by comparing both scores by utilizing parameters that are readily available .

Detailed Description

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There are a relatively large number of conditions where urgent intervention is required in order to secure the best outcome for the patient. Examples include sepsis, myocardial infarction (MI). Clinical diagnosis of some of these conditions is not always straightforward, but a common theme is that many present with deranged physiology and vital signs. Implementation of an early warning score on arrival at hospital has helped to identify seriously ill patients .

There is a high mortality rate associated with severe infection at all ages Sepsis occurs when life-threatening organ dysfunction is associated with infection.

What is a national early warning score (NEWS)? The following six simple physiological parameters are included in the scoring system: respiratory rate, oxygen saturation, temperature; the normal human body temperature range is typically stated as 36.5-37 °C( ), systolic blood pressure, pulse rate \& level of consciousness.

What is a sepsis patient evaluation in the emergency department (SPEED)? The following simple clinical, physiological and laboratory parameters are included in the scoring system : hypotension (systolic pressure \<90 mmHg) hypothermia (body temperature \<36.0°C) , hypoxemia (pulse oximetry \<90%), low hematocrit (hematocrit \<0.38), Acidosis (blood PH \< 7.35), elevated blood lactate \>2.4 mmol/L \& source of infection as pneumonia.

Conditions

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Sepsis Scores

Study Design

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Observational Model Type

OTHER

Study Time Perspective

CROSS_SECTIONAL

Eligibility Criteria

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Inclusion Criteria

* Age of 18 - 80 years.
* Patients of both genders.

Exclusion Criteria

* Patient refusal .
* Accepts Healthy Volunteers .
* Aged below 18 years
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 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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Mostafa Hassan Mostafa Abdellah

resident

Responsibility Role PRINCIPAL_INVESTIGATOR

Central Contacts

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Mostafa H. Mostafa, GP

Role: CONTACT

Phone: +201552590309

Email: [email protected]

Fatma A. Abdelaal, professor

Role: CONTACT

Phone: +201113221317

Email: [email protected]

References

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Churpek MM, Snyder A, Han X, Sokol S, Pettit N, Howell MD, Edelson DP. Quick Sepsis-related Organ Failure Assessment, Systemic Inflammatory Response Syndrome, and Early Warning Scores for Detecting Clinical Deterioration in Infected Patients outside the Intensive Care Unit. Am J Respir Crit Care Med. 2017 Apr 1;195(7):906-911. doi: 10.1164/rccm.201604-0854OC.

Reference Type BACKGROUND
PMID: 27649072 (View on PubMed)

Usman OA, Usman AA, Ward MA. Comparison of SIRS, qSOFA, and NEWS for the early identification of sepsis in the Emergency Department. Am J Emerg Med. 2019 Aug;37(8):1490-1497. doi: 10.1016/j.ajem.2018.10.058. Epub 2018 Nov 7.

Reference Type BACKGROUND
PMID: 30470600 (View on PubMed)

Bewersdorf JP, Hautmann O, Kofink D, Abdul Khalil A, Zainal Abidin I, Loch A. The SPEED (sepsis patient evaluation in the emergency department) score: a risk stratification and outcome prediction tool. Eur J Emerg Med. 2017 Jun;24(3):170-175. doi: 10.1097/MEJ.0000000000000344.

Reference Type BACKGROUND
PMID: 26524675 (View on PubMed)

Other Identifiers

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sepsis identification

Identifier Type: -

Identifier Source: org_study_id