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Unpacking Prevalence and Dichotomy in Quick Sequential Organ Failure Assessment and Systemic Inflammatory Response Syndrome Parameters: Observational Data–Driven Approach Backed by Sepsis Pathophysiology

According to the then-prevailing definition, sepsis associated with organ dysfunction was referred to as severe sepsis, and severe sepsis followed by sepsis-induced persisting hypotension despite adequate fluid resuscitation was termed as septic shock.

Nazmus Sakib, Sheikh Iqbal Ahamed, Rumi Ahmed Khan, Paul M Griffin, Md Munirul Haque

JMIR Med Inform 2020;8(12):e18352

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Additional Telemedicine Rounds as a Successful Performance-Improvement Strategy for Sepsis Management: Observational Multicenter Study

Sepsis Campaign (SSC) guidelines for the management of severe sepsis and septic shock, with an aim to reduce the mortality of sepsis by 25% in 5 years [5,6,7].

Robert Deisz, Susanne Rademacher, Katrin Gilger, Rudolf Jegen, Barbara Sauerzapfe, Christina Fitzner, Christian Stoppe, Carina Benstoem, Gernot Marx

J Med Internet Res 2019;21(1):e11161

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Fluid Administration in Emergency Room Limited by Lung Ultrasound in Patients with Sepsis: Protocol for a Prospective Phase II Multicenter Randomized Controlled Trial

Prompt and adequate intravenous (IV) fluid therapy is essential in the treatment of sepsis and to reduce sepsis mortality [2,3]. Especially, immediate initial resuscitation in an emergency department can impact patients’ outcomes [4-6].

Mouhand F H Mohamed, Nathalie M Malewicz, Hanan Ibrahim Zehry, Dina A Monim Hussain, Judah Leão Barouh, Adriana V Cançado, Jeancarllo Sousa Silva, Salah Suwileh, Jose Retamal Carvajal

JMIR Res Protoc 2020;9(8):e15997

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Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study

Sepsis Watch is a sepsis detection and management platform used by clinicians to improve compliance with recommended treatment guidelines for sepsis and thereby improve patient outcomes.

Mark P Sendak, William Ratliff, Dina Sarro, Elizabeth Alderton, Joseph Futoma, Michael Gao, Marshall Nichols, Mike Revoir, Faraz Yashar, Corinne Miller, Kelly Kester, Sahil Sandhu, Kristin Corey, Nathan Brajer, Christelle Tan, Anthony Lin, Tres Brown, Susan Engelbosch, Kevin Anstrom, Madeleine Clare Elish, Katherine Heller, Rebecca Donohoe, Jason Theiling, Eric Poon, Suresh Balu, Armando Bedoya, Cara O'Brien

JMIR Med Inform 2020;8(7):e15182

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Digital Alerting and Outcomes in Patients With Sepsis: Systematic Review and Meta-Analysis

The International Surviving Sepsis Campaign recommends early identification of patients with sepsis and immediate treatment such as antibiotics within 1 hour of suspecting sepsis and septic shock [11].

Meera Joshi, Hutan Ashrafian, Sonal Arora, Sadia Khan, Graham Cooke, Ara Darzi

J Med Internet Res 2019;21(12):e15166

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Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach

Sepsis, severe sepsis, and septic shock are umbrella terms for a broad and complex variety of disorders characterized by a dysregulated host response to infectious insult.

Thomas Desautels, Jacob Calvert, Jana Hoffman, Melissa Jay, Yaniv Kerem, Lisa Shieh, David Shimabukuro, Uli Chettipally, Mitchell D Feldman, Chris Barton, David J Wales, Ritankar Das

JMIR Med Inform 2016;4(3):e28

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Use and Evaluation of Computerized Clinical Decision Support Systems for Early Detection of Sepsis in Hospitals: Protocol for a Scoping Review

Despite advances in vaccines, antibiotics, and acute care, sepsis remains the leading cause of death from infection [1]. About 20% of patients with sepsis die, with global estimates recording 11 million deaths due to sepsis in 2017 alone [2].

Ling Li, Khalia Ackermann, Jannah Baker, Johanna Westbrook

JMIR Res Protoc 2020;9(11):e24899

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Public Awareness of Sepsis Compared to Acute Myocardial Infarction and Stroke in Jeddah, Saudi Arabia: Questionnaire Study

Results indicated that public awareness of sepsis is low [18]. Similarly, a research study involving 1001 Swedish residents concluded that public knowledge of sepsis is low [19].

Nourah Al-Orainan, Adel Mohamed EL-Shabasy, Khawlah Alamin Al-Shanqiti, Rawan Awad Al-Harbi, Hadeel Rajeh Alnashri, Raghad Ahmed Rezqallah, Alanoud Abdallah Mirghani

Interact J Med Res 2020;9(2):e16195

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Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study

CDS sepsis early warning systems leverage electronic health information to continuously stratify patients for the risk of sepsis and alert clinicians [17-22].

Sahil Sandhu, Anthony L Lin, Nathan Brajer, Jessica Sperling, William Ratliff, Armando D Bedoya, Suresh Balu, Cara O'Brien, Mark P Sendak

J Med Internet Res 2020;22(11):e22421

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From Data to Optimal Decision Making: A Data-Driven, Probabilistic Machine Learning Approach to Decision Support for Patients With Sepsis

This is true even in the cases of dangerous and ubiquitous threats to human health, one of which is sepsis. Sepsis is an overwhelming systemic immune response to infection, which results in damage to the patients’ own tissues and organs.

Athanasios Tsoukalas, Timothy Albertson, Ilias Tagkopoulos

JMIR Med Inform 2015;3(1):e11

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