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  1. Article ; Online: A Need for Prospective Long-Term Data to Characterize Cardiovascular Risk Factors in Sepsis Survivors.

    Bhavani, Sivasubramanium V

    Critical care medicine

    2023  Volume 51, Issue 4, Page(s) 549–550

    MeSH term(s) Humans ; Cardiovascular Diseases/epidemiology ; Cardiovascular Diseases/etiology ; Prospective Studies ; Risk Factors ; Sepsis/epidemiology ; Survivors ; Heart Disease Risk Factors
    Language English
    Publishing date 2023-03-18
    Publishing country United States
    Document type Editorial ; Research Support, N.I.H., Extramural ; Comment
    ZDB-ID 197890-1
    ISSN 1530-0293 ; 0090-3493
    ISSN (online) 1530-0293
    ISSN 0090-3493
    DOI 10.1097/CCM.0000000000005808
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  2. Article ; Online: Saved by the Bell-Automated Paging Alerts to Improve Sepsis Bundle Compliance.

    Bhavani, Sivasubramanium V / Mohr, Nicholas

    Critical care medicine

    2024  Volume 52, Issue 2, Page(s) 340–342

    MeSH term(s) Humans ; Sepsis/therapy ; Guideline Adherence
    Language English
    Publishing date 2024-01-19
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 197890-1
    ISSN 1530-0293 ; 0090-3493
    ISSN (online) 1530-0293
    ISSN 0090-3493
    DOI 10.1097/CCM.0000000000006087
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  3. Article ; Online: A Call for a Consensus Approach to the Design, Implementation, and Evaluation of Early Warning Systems.

    Bhavani, Sivasubramanium V

    Critical care medicine

    2022  Volume 50, Issue 8, Page(s) 1280–1282

    MeSH term(s) Consensus
    Language English
    Publishing date 2022-07-11
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 197890-1
    ISSN 1530-0293 ; 0090-3493
    ISSN (online) 1530-0293
    ISSN 0090-3493
    DOI 10.1097/CCM.0000000000005568
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  4. Article ; Online: Racial Differences in Detection of Fever Using Temporal vs Oral Temperature Measurements-Reply.

    Bhavani, Sivasubramanium V / Wiley, Zanthia / Ofotokun, Ighovwerha

    JAMA

    2023  Volume 329, Issue 4, Page(s) 342–343

    MeSH term(s) Humans ; Body Temperature ; Fever/diagnosis ; Race Factors ; Thermometers ; Diagnostic Techniques and Procedures/instrumentation
    Language English
    Publishing date 2023-01-25
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2958-0
    ISSN 1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
    ISSN (online) 1538-3598
    ISSN 0254-9077 ; 0002-9955 ; 0098-7484
    DOI 10.1001/jama.2022.21356
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  5. Article ; Online: Leveraging Data Science and Novel Technologies to Develop and Implement Precision Medicine Strategies in Critical Care.

    Sanchez-Pinto, Lazaro N / Bhavani, Sivasubramanium V / Atreya, Mihir R / Sinha, Pratik

    Critical care clinics

    2023  Volume 39, Issue 4, Page(s) 627–646

    Abstract: Precision medicine aims to identify treatments that are most likely to result in favorable outcomes for subgroups of patients with similar clinical and biological characteristics. The gaps for the development and implementation of precision medicine ... ...

    Abstract Precision medicine aims to identify treatments that are most likely to result in favorable outcomes for subgroups of patients with similar clinical and biological characteristics. The gaps for the development and implementation of precision medicine strategies in the critical care setting are many, but the advent of data science and multi-omics approaches, combined with the rich data ecosystem in the intensive care unit, offer unprecedented opportunities to realize the promise of precision critical care. In this article, the authors review the data-driven and technology-based approaches being leveraged to discover and implement precision medicine strategies in the critical care setting.
    MeSH term(s) Humans ; Precision Medicine ; Data Science ; Ecosystem ; Critical Care ; Technology
    Language English
    Publishing date 2023-04-07
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1006423-0
    ISSN 1557-8232 ; 0749-0704
    ISSN (online) 1557-8232
    ISSN 0749-0704
    DOI 10.1016/j.ccc.2023.03.002
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  6. Article ; Online: Racial Differences in Detection of Fever Using Temporal vs Oral Temperature Measurements in Hospitalized Patients.

    Bhavani, Sivasubramanium V / Wiley, Zanthia / Verhoef, Philip A / Coopersmith, Craig M / Ofotokun, Ighovwerha

    JAMA

    2022  Volume 328, Issue 9, Page(s) 885–886

    MeSH term(s) Body Temperature ; Fever/diagnosis ; Fever/etiology ; Hospitalization ; Humans ; Physical Examination/instrumentation ; Physical Examination/methods ; Race Factors ; Thermometers
    Language English
    Publishing date 2022-08-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2958-0
    ISSN 1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
    ISSN (online) 1538-3598
    ISSN 0254-9077 ; 0002-9955 ; 0098-7484
    DOI 10.1001/jama.2022.12290
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  7. Article ; Online: Using Trajectories of Bedside Vital Signs to Identify COVID-19 Subphenotypes.

    Bhavani, Sivasubramanium V / Robichaux, Chad / Verhoef, Philip A / Churpek, Matthew M / Coopersmith, Craig M

    Chest

    2023  Volume 165, Issue 3, Page(s) 529–539

    Abstract: Background: Trajectories of bedside vital signs have been used to identify sepsis subphenotypes with distinct outcomes and treatment responses. The objective of this study was to validate the vitals trajectory model in a multicenter cohort of patients ... ...

    Abstract Background: Trajectories of bedside vital signs have been used to identify sepsis subphenotypes with distinct outcomes and treatment responses. The objective of this study was to validate the vitals trajectory model in a multicenter cohort of patients hospitalized with COVID-19 and to evaluate the clinical characteristics and outcomes of the resulting subphenotypes.
    Research question: Can the trajectory of routine bedside vital signs identify COVID-19 subphenotypes with distinct clinical characteristics and outcomes?
    Study design and methods: The study included adult patients admitted with COVID-19 to four academic hospitals in the Emory Healthcare system between March 1, 2020, and May 31, 2022. Using a validated group-based trajectory model, we classified patients into previously defined vital sign trajectories using oral temperature, heart rate, respiratory rate, and systolic and diastolic BP measured in the first 8 h of hospitalization. Clinical characteristics, biomarkers, and outcomes were compared between subphenotypes. Heterogeneity of treatment effect to tocilizumab was evaluated.
    Results: The 7,065 patients with hospitalized COVID-19 were classified into four subphenotypes: group A (n = 1,429, 20%)-high temperature, heart rate, respiratory rate, and hypotensive; group B (1,454, 21%)-high temperature, heart rate, respiratory rate, and hypertensive; group C (2,996, 42%)-low temperature, heart rate, respiratory rate, and normotensive; and group D (1,186, 17%)-low temperature, heart rate, respiratory rate, and hypotensive. Groups A and D had higher ORs of mechanical ventilation, vasopressors, and 30-day inpatient mortality (P < .001). On comparing patients receiving tocilizumab (n = 55) with those who met criteria for tocilizumab but were admitted before its use (n = 461), there was significant heterogeneity of treatment effect across subphenotypes in the association of tocilizumab with 30-day mortality (P = .001).
    Interpretation: By using bedside vital signs available in even low-resource settings, we found novel subphenotypes associated with distinct manifestations of COVID-19, which could lead to preemptive and targeted treatments.
    MeSH term(s) Adult ; Humans ; COVID-19/diagnosis ; COVID-19/therapy ; Biomarkers ; Respiration, Artificial ; Heart Rate ; Vital Signs
    Chemical Substances Biomarkers
    Language English
    Publishing date 2023-09-23
    Publishing country United States
    Document type Multicenter Study ; Journal Article
    ZDB-ID 1032552-9
    ISSN 1931-3543 ; 0012-3692
    ISSN (online) 1931-3543
    ISSN 0012-3692
    DOI 10.1016/j.chest.2023.09.020
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  8. Article ; Online: HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF).

    Krishnan, Preethi / Rad, Milad G / Agarwal, Palak / Marshall, Curtis / Yang, Philip / Bhavani, Sivasubramanium V / Holder, Andre L / Esper, Annette / Kamaleswaran, Rishikesan

    Physiological measurement

    2023  Volume 44, Issue 10

    Abstract: ... ...

    Abstract Objective
    MeSH term(s) Humans ; Retrospective Studies ; Heart Rate/physiology ; Sepsis/complications ; Sepsis/diagnosis ; Intensive Care Units ; ROC Curve ; Respiratory Insufficiency/complications ; Respiratory Insufficiency/diagnosis ; Transcription Factors ; Cell Cycle Proteins ; Histone Chaperones
    Chemical Substances HIRA protein, human ; Transcription Factors ; Cell Cycle Proteins ; Histone Chaperones
    Language English
    Publishing date 2023-10-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 1149545-5
    ISSN 1361-6579 ; 0967-3334
    ISSN (online) 1361-6579
    ISSN 0967-3334
    DOI 10.1088/1361-6579/acf5c7
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  9. Article ; Online: Reply to Leijte

    Bhavani, Sivasubramanium V / Verhoef, Philip A / Churpek, Matthew M

    American journal of respiratory and critical care medicine

    2019  Volume 200, Issue 2, Page(s) 264–265

    MeSH term(s) Fever ; Humans ; Sepsis ; Temperature
    Language English
    Publishing date 2019-04-09
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 1180953-x
    ISSN 1535-4970 ; 0003-0805 ; 1073-449X
    ISSN (online) 1535-4970
    ISSN 0003-0805 ; 1073-449X
    DOI 10.1164/rccm.201903-0631LE
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  10. Article ; Online: Reply to Maitra and Bhattacharjee: Adherence to the Prevailing Sepsis Definition Is Quintessential to Subphenotype Identification.

    Bhavani, Sivasubramanium V / Verhoef, Philip A / Churpek, Matthew M

    American journal of respiratory and critical care medicine

    2019  Volume 201, Issue 2, Page(s) 258–259

    MeSH term(s) Humans ; Phenotype ; Sepsis ; Temperature
    Language English
    Publishing date 2019-09-13
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 1180953-x
    ISSN 1535-4970 ; 0003-0805 ; 1073-449X
    ISSN (online) 1535-4970
    ISSN 0003-0805 ; 1073-449X
    DOI 10.1164/rccm.201908-1619LE
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