Diagnostic accuracy of Alvarado scoring system relative to histopathological diagnosis for acute appendicitis: A retrospective cohort study.

Appendix Diagnosis Pathology Sensitivity Specificity Surgery

Journal

Annals of medicine and surgery (2012)
ISSN: 2049-0801
Titre abrégé: Ann Med Surg (Lond)
Pays: England
ID NLM: 101616869

Informations de publication

Date de publication:
Sep 2022
Historique:
received: 12 06 2022
revised: 28 08 2022
accepted: 28 08 2022
entrez: 23 9 2022
pubmed: 24 9 2022
medline: 24 9 2022
Statut: epublish

Résumé

Acute appendicitis (AA) is a surgical emergency that requires prompt diagnosis and suitable management. It may lead to complications resulting in mortality. To evaluate the diagnostic accuracy of the Alvarado scoring system (ASS) for acute appendicitis concerning histopathological data. About 120 patients were selected for this study consisting of 96 males and 24 females age between 20 and 60. Alvarado scoring system is calculated for each patient after collecting data about demographics, laboratory findings, and clinical examination. Then, we compared it with histopathological diagnosis taking it as a gold standard. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. SPSS version 20 was used for analyzing the data. About 120 patients were included in our study. The male to female ratio was 3:1. Sensitivity and specificity were 83.3% and 41% respectively. While PPV and NPV were 85% and 41% respectively. The negative appendectomy rate was 21%. The area under the curve for receiving operating characteristics is 0.628. ASS is a useful diagnostic tool regarding sensitivity and positive predictive value, especially in developing countries. It is cheap, reliable, and can be easily applied.

Sections du résumé

Background UNASSIGNED
Acute appendicitis (AA) is a surgical emergency that requires prompt diagnosis and suitable management. It may lead to complications resulting in mortality. To evaluate the diagnostic accuracy of the Alvarado scoring system (ASS) for acute appendicitis concerning histopathological data.
Methodology UNASSIGNED
About 120 patients were selected for this study consisting of 96 males and 24 females age between 20 and 60. Alvarado scoring system is calculated for each patient after collecting data about demographics, laboratory findings, and clinical examination. Then, we compared it with histopathological diagnosis taking it as a gold standard. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. SPSS version 20 was used for analyzing the data.
Results UNASSIGNED
About 120 patients were included in our study. The male to female ratio was 3:1. Sensitivity and specificity were 83.3% and 41% respectively. While PPV and NPV were 85% and 41% respectively. The negative appendectomy rate was 21%. The area under the curve for receiving operating characteristics is 0.628.
Conclusion UNASSIGNED
ASS is a useful diagnostic tool regarding sensitivity and positive predictive value, especially in developing countries. It is cheap, reliable, and can be easily applied.

Identifiants

pubmed: 36147117
doi: 10.1016/j.amsu.2022.104561
pii: S2049-0801(22)01321-8
pmc: PMC9486849
doi:

Types de publication

Journal Article

Langues

eng

Pagination

104561

Informations de copyright

© 2022 The Authors.

Déclaration de conflit d'intérêts

We declare no conflict of interests.

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Auteurs

Muhammad Tayyab Naeem (MT)

Shaikh Zayed Hospital, Lahore, Pakistan.

Muhammad Amir Jamil (MA)

Shaikh Zayed Hospital, Lahore, Pakistan.

Muhammad Imran Anwar (MI)

Shaikh Zayed Hospital, Lahore, Pakistan.

Hassan Raza (H)

Shaikh Zayed Hospital, Lahore, Pakistan.

Ali Asad (A)

Services Hospital, Lahore, Pakistan.

Hashaam Jamil (H)

Lahore General Hospital, Lahore, 54000, Pakistan.

Muhammad Junaid Tahir (MJ)

Lahore General Hospital, Lahore, 54000, Pakistan.

Jharna Bai (J)

Shaheed Mohtarma Benazir Bhutto Medical University (SMBBMU), Larkana, Pakistan.

Tabssum Mohamad Ejaz Chauhan (TM)

Tver State Medical University, Tver, Russia.

Muhammad Sohaib Asghar (MS)

Dow University of Health Sciences-Ojha Campus, Karachi, Pakistan.

Classifications MeSH