Evolution of patients infected with SARS-CoV-2 according to previous metabolic status

Urbistondo, María Martínez; Vargas, Alberto Mora; Palomo, Esther Expósito; Miguel, María Aparicio De; Díaz, Raquel; Daimiel, Lidia; López, Omar; Cristóbal, Rodrigo San; Martínez, Jean; Núñez, Juan Antonio Vargas

doi:10.20960/nh.03469

Cited by 5 publications

(7 citation statements)

References 37 publications

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“…The delay of detection and hospitalization has a large impact on the concurrent inflammatory stage, and, thus, on the prognosis and the fatality of the disease [ 7 ]. These manifestations are accompanied by microvascular damages caused by the cytokine “storm” [ 8 ], and often, the pathophysiological COVID-19 condition is also associated with bacterial infections [ 9 ] and with body metabolic impairments [ 10 , 11 ], where prescribed anti-inflammatory medications also may play a role [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Longwise Cluster Analysis for the Prediction of COVID-19 Severity within 72 h of Admission: COVID-DATA-SAVE-LIFES Cohort

San-Cristóbal

Martín-Hernández

Ramos-López

et al. 2022

JCM

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The use of routine laboratory biomarkers plays a key role in decision making in the clinical practice of COVID-19, allowing the development of clinical screening tools for personalized treatments. This study performed a short-term longitudinal cluster from patients with COVID-19 based on biochemical measurements for the first 72 h after hospitalization. Clinical and biochemical variables from 1039 confirmed COVID-19 patients framed on the “COVID Data Save Lives” were grouped in 24-h blocks to perform a longitudinal k-means clustering algorithm to the trajectories. The final solution of the three clusters showed a strong association with different clinical severity outcomes (OR for death: Cluster A reference, Cluster B 12.83 CI: 6.11–30.54, and Cluster C 14.29 CI: 6.66–34.43; OR for ventilation: Cluster-B 2.22 CI: 1.64–3.01, and Cluster-C 1.71 CI: 1.08–2.76), improving the AUC of the models in terms of age, sex, oxygen concentration, and the Charlson Comorbidities Index (0.810 vs. 0.871 with p < 0.001 and 0.749 vs. 0.807 with p < 0.001, respectively). Patient diagnoses and prognoses remarkably diverged between the three clusters obtained, evidencing that data-driven technologies devised for the screening, analysis, prediction, and tracking of patients play a key role in the application of individualized management of the COVID-19 pandemics.

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Section: Introductionmentioning

confidence: 99%

Longwise Cluster Analysis for the Prediction of COVID-19 Severity within 72 h of Admission: COVID-DATA-SAVE-LIFES Cohort

San-Cristóbal

Martín-Hernández

Ramos-López

et al. 2022

JCM

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“…Of the 35 studies selected for the methodological assessment using the Downs and Black scale [ 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 ], 1 study scored 6/17 [ 35 ], 3 scored 7/10 [ 36 , 37 , 38 ], 11 scored 8/17 [ 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 ], 12 scored 9/17 [ 50 , 51 ,…”

Section: Resultsmentioning

confidence: 99%

“…Of the 35 studies selected for the methodological assessment using the Downs and Black scale , 1 study scored 6/17 [35], 3 scored 7/10 [36][37][38], 11 scored 8/17 [39][40][41][42][43][44][45][46][47][48][49], 12 scored 9/17 [50][51][52][53][54][55][56][57][58][59][60][61], 7 scored 10/17 [27][28][29][30][32][33][34], and 1 study scored 11/17 [31]. Only eight studies obtained 60% or more of the total scale score (17 points) [27][28][29][30][31][32][33][34]; therefore, they were selected to be analyzed in this systematic review (see Supplementary Table S1).…”

Section: Methodological Quality Assessmentmentioning

confidence: 99%

Obesity as a Risk Factor for Complications and Mortality in Individuals with SARS-CoV-2: A Systematic Review

de Paula Silva-Lalucci,

Marques,

Valdés-Badilla

et al. 2024

Nutrients

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This systematic review aimed to analyze the available studies that identified overweight and/or obesity as a risk factor for mortality, use of respiratory support, and changes in biochemical markers in adults hospitalized with SARS-CoV-2. The PubMed, Web of Science, and Scopus databases were searched using PRISMA guidelines until January 2024. The protocol was registered with PROSPERO (code: CRD42024501551). Of the 473 articles, only 8 met the inclusion criteria (e.g., adult individuals aged 18 or over diagnosed with COVID-19 individuals with overweight and/or obesity). In addition, the Downs and Black tool was used to assess the quality of the studies. The studies analyzed totaled 9782 adults hospitalized for COVID-19, indicating that overweight and obesity are present in more than half of adults. Diseases such as diabetes mellitus and hypertension are more prevalent in adults with obesity. The systematic review also highlighted that a higher incidence of respiratory support is related to a higher incidence of hospitalization in intensive care units and that adults with overweight and obesity have a higher risk of mortality from COVID-19. Biochemical markers such as procalcitinin, C-reactive protein, and interleukin-6 are associated with the severity of COVID-19 infection. This systematic review exposed overweight and/or obesity as a risk factor for worse COVID-19 disease, as well as for the need for intensive care, respiratory support, mortality, and changes in essential blood markers.

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“…Our study extends these findings by showing that several adiposity parameters in older adults measured 5–6 years prior to the pandemic were also significantly longitudinally associated with increased COVID-19 risk. These associations can be explained by obesity-related metabolic alterations that increase inflammation and result in poor immune response to viruses, including in SARS-CoV2 infections [ 13 , 29 ]. This suggestion is further supported by a positive association of the total number of leucocytes observed with baseline body weight and body weight gain.…”

Section: Discussionmentioning

confidence: 99%

Association of adiposity and its changes over time with COVID-19 risk in older adults with overweight/obesity and metabolic syndrome: a longitudinal evaluation in the PREDIMED-Plus cohort

Shyam,

García-Gavilán,

Paz-Graniel

et al. 2023

BMC Med

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Background Cross-sectionally, older age and obesity are associated with increased coronavirus disease-2019 (COVID-19) risk. We assessed the longitudinal associations of baseline and changes in adiposity parameters with COVID-19 incidence in older adults at high cardiovascular risk. Methods This analysis included 6874 men and women (aged 55–75 years) with overweight/obesity and metabolic syndrome in the PREDIMED-Plus lifestyle intervention trial for cardiovascular risk reduction. Body weight, body-mass-index (BMI), waist circumference, waist-to-height ratio (WHtR), and a body shape index (ABSI) were measured at baseline and annual follow-up visits. COVID-19 was ascertained by an independent Event Committee until 31 December 2021. Cox regression models were fitted to evaluate the risk of COVID-19 incidence based on baseline adiposity parameters measured 5–6 years before the pandemic and their changes at the visit prior to censoring. Results At the time of censoring, 653 incident COVID-19 cases occurred. Higher baseline body weight, BMI, waist circumference, and WHtR were associated with increased COVID-19 risk. During the follow-up, every unit increase in body weight (HRadj (95%CI): 1.01 (1.00, 1.03)) and BMI (HRadj: 1.04 (1.003, 1.08)) was associated with increased COVID-19 risk. Conclusions In older adults with overweight/obesity, clinically significant weight loss may protect against COVID-19. Trial registration This study is registered at the International Standard Randomized Controlled Trial (ISRCT; http://www.isrctn.com/ISRCTN89898870).

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Evolution of patients infected with SARS-CoV-2 according to previous metabolic status

Abstract: Evolución de la infección por SARS-CoV-2 en función del estado metabólico previo del pacienteEvolution of patients infected with SARS-CoV-2 according to previous metabolic status

Cited by 5 publications

References 37 publications

Longwise Cluster Analysis for the Prediction of COVID-19 Severity within 72 h of Admission: COVID-DATA-SAVE-LIFES Cohort

Longwise Cluster Analysis for the Prediction of COVID-19 Severity within 72 h of Admission: COVID-DATA-SAVE-LIFES Cohort

Obesity as a Risk Factor for Complications and Mortality in Individuals with SARS-CoV-2: A Systematic Review

Association of adiposity and its changes over time with COVID-19 risk in older adults with overweight/obesity and metabolic syndrome: a longitudinal evaluation in the PREDIMED-Plus cohort

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