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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

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

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

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

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

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

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

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

Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study

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

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

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