Magnitude of a Metabolic Risk Profile in Sepsis Scales in Patients with Pneumonia
Keywords:
pneumonia, COVID 19, sepsis, prognostic scales
Abstract
Introduction: The mortality of community acquired pneumonia (CAP) ranges from 5% to 15%, depending logically on whether the study has been performed in the community or in a hospital setting, as well as varying also according to age. In Mexico as of June 26, 2021, there are 2,498,357 confirmed cases of COVID and 232,346 deaths. There are studies showing that cardiovascular disease is a risk factor for sepsis events. In the absence of a single prognostic marker, it is important to have clinical tools to estimate the probability of in-hospital death in septic patients and thus identify high-risk patients and improve the appropriate use of medical interventions to be performed. Objective: To know the magnitude of a metabolic risk profile in sepsis scales in patients with pneumonia.
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
References
S Torre, I Geisselmann, I Molinero, R Gómez, R Girón (2020) Diagnostic breadth of COVID-19 pneumonia in pandemic time from primary care. 27(10), 543-546.
(2021) Mortality Analyses Coronavirus resource center.
A Vila-Corcoles, O Ochoa-Gondar, T Rodriguez-Blanco, X Raga-Luria, F Gomez-Bertomeu (2009) EPIVAC Study Group Epidemiology of communityacquired pneumonia in older adults: a populationbased study. 103, 309-316.
Andreas Laupacis, N Sekar, I Stiell (1997) Clinical Prediction RulesA Review and Suggested Modifications of Methodological Standards. 277(6), 488.
Marin-Marín Diego, Soto Alonso (2016) Comparison of prognostic scoring systems in the prediction of mortality and complications in sepsis. 33(1), 51-57.
Christophe Marti, Nicolas Garin, Olivier Grosgurin, Antoine Poncet, Christophe Combescure, Sebastian Carballo, Arnaud Perrier (2012) Prediction of severe community-acquired pneumonia: a systematic review and meta-analysis. 16(4), R141.
Chinese Thoracic, Society (2018) Clinical practice guidelines for diagnosis and management of adults with hospital-acquired and ventilator-associated pneumonia (2018 edition) (in Chinese). 41, 255-280.
W Lim, M Van Der Eerden, R Laing, W Boersma, N Karalus, G Town (2003) Defining community acquired pneumonia severity on presentation to hospital: an international derivation and validation study. 58(5), 377-382.
W Knaus, E Draper, D Wagner, J Zimmerman (1985) APACHE II: a severity of disease classification system. 13, 818-829.
J Vincent, R Moreno, J Takala, S Willatts, De Mendonça, A Bruining, H (1996) The SOFA (sepsisrelated organ failure assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. 22, 707-710.
Faheem Guirgis, John Donnelly, Sunita Dodani, George Howard, Monika Safford, Emily Levitan, Henry Wang (2016) Cholesterol levels and long-term rates of community-acquired sepsis. 20(1), 408.
José Córdova-Villalobos, Jorge Barriguete-Meléndez, Agustín Lara-Esqueda, Simón Barquera, Martín Rosas-Peralta, Mauricio Hernández-Ávila, María León-May, Lic Admon, Carlos Aguilar-Salinas (2008) Las enfermedades crónicas no transmisibles en México: sinopsis epidemiológica y prevención integral. 50(5), 419-427.
J Gutiérrez, J Rivera-Dommarco, T Shamah-Levy (2012) National Health and Nutrition Survey. National Results.
Ana Basto-Abreu, Nancy López-Olmedo, Rosalba Rojas-Martínez, Carlos Aguilar-Salinas, Vanessa De La Cruz-Góngora, Juan Rivera-Dommarco, Teresa Shamah-Levy, Martín Romero-Martínez, Simón Barquera, Salvador Villalpando, Tonatiuh Barrientos-Gutiérrez (2020) Prevalence of diabetes and glycemic control in Mexico: national results from 2018 and 2020. 63(6, Nov-Dic), 725-733.
B Baez, I Zamora (2017) Triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) index as a reference criterion of risk for metabolic syndrome (MetS) and low insulin sensitivity in apparently healthy subjects. 153(2), 152-158.
L Masana, E Correig (2021) Low HDL and high triglycerides predict COVID-19 severity. 30(1), 7217.
Geun Choi, Hyun Kim, Hyun Kang (2020) The Potential Role of Dyslipidemia in COVID-19 Severity: an Umbrella Review of Systematic Reviews. 9(3), 435.
Wern Ng, Thomas Tipih, Nigel Makoah, Null- Vermeulen, Dominique Goedhals, Joseph Sempa, Felicity Burt, Adam Taylor, Suresh Mahalingam (2021) Comorbidities in SARS-CoV-2 Patients: a Systematic Review and Meta-Analysis. 12(1).
E Alcántara-Alonso, F Molinar-Ramos, J González-López (2021) High triglyceride to HDL-cholesterol ratio as a biochemical marker of severe outcomes in COVID-19 patients. 04, 20.
Neira-Sanchez Elsa, R, Germán Málaga (2016) Sepsis-3 and the new definitions, is it time to abandon SIRS?. 33(3), 217-222.
S Lee, M Park, B Park (2015) Prognostic Implications of Serum Lipid Metabolism over Time during Sepsis. 789298.
Sánchez Casado, M, Quintana Díaz, M Palacios, D Hortigüela, V Marco Schulke, C García, J (2012) Relationship between alveolo-arterial oxygen gradient and PaO2/FiO2 introducing PEEP in the model. 36(5), 329-334.
J Che-Morales, A Cortes Telles (2018) Neutrophil/ lymphocyte index as a serum biomarker associated with community-acquired pneumonia. 56(6), 537-543.
I Huang, R Pranata, M Lim, A Oehadian, B Alisjahbana (2020) Table 1: Comparison of pneumonia severity according to the admitting hospital care unit. Pneumonia severity scale Ticomán General Hospital Xoco. 14, 1753466620937175.
Published
2021-12-23
Issue
Section
License
Copyright (c) 2021 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.