Assessing serum C-reactive protein as a predictor of COVID-19 outcomes: a retrospective cross-sectional study

Abdullah, Ardalan J.; Arif, Ali T.; Rahman, Hawre A.; Sofihussein, Kadhim Q.; Hadi, Jihad M.; Aziz, Jeza M. Abdul; Tofiq, Shko Sh.; Mustafa, Ayman M.

doi:10.1097/ms9.0000000000000761

Cited by 6 publications

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Elevated CRP levels have been widely recognized as markers of inflammation and have been linked to poor outcomes in various infectious diseases, including COVID-19. 31,32 In the context of kidney transplant recipients, the heightened inflammatory response indicated by rising CRP levels may reflect a combination of viral pathogenicity and the unique immunological landscape of these patients, which could exacerbate disease severity. 33,34 Moreover, the identification of CRP levels on the 3rd and 7th day as independent risk factors for mortality provides valuable insights for clinical management.…”

Section: Discussionmentioning

confidence: 99%

Clinical Features and Prognostic Predictors in Patients with Renal Transplant Complicated by SARS-CoV-2 Infection, a Retrospective Single-Center Study

Wang,

Tao,

Jin

2024

IDR

View full text Add to dashboard Cite

Background: This study examines the clinical outcomes and prognostic factors of COVID-19 in renal transplant recipients. Given their immunosuppressed status, these patients are at higher risk of severe complications from COVID-19. The study aims to provide healthcare professionals with critical insights for diagnosing and managing this vulnerable population. Patients and methods: This retrospective cohort study included adult renal transplant recipients diagnosed with COVID-19. Data on demographics, medical history, laboratory results, and patient outcomes were analyzed to identify clinical characteristics and prognostic factors.Results: This study included 115 renal transplant recipients with COVID-19, predominantly male, with a mortality rate of 10.4% (12 deaths). The overall vaccination rate was 20%. Univariate analysis showed significant differences between survivors and non-survivors in initial serum creatinine levels, and percentages of neutrophils, monocytes, and lymphocytes, along with CRP levels on day 3. Additionally, CRP levels, hemoglobin, and platelet counts on day 7 also differed significantly. Multivariate analysis identified CRP levels on days 3 and 7, day 7 hemoglobin and platelet counts, and concurrent bacterial infections as independent risk factors for mortality. Conclusion: Elevated CRP levels, renal impairment, and bacterial co-infections play a significant role in the outcomes of COVID-19 in kidney transplant recipients. This study highlights the importance of monitoring these factors for early identification and management of high-risk patients.

show abstract

Section: Discussionmentioning

confidence: 99%

Clinical Features and Prognostic Predictors in Patients with Renal Transplant Complicated by SARS-CoV-2 Infection, a Retrospective Single-Center Study

Wang,

Tao,

Jin

2024

IDR

View full text Add to dashboard Cite

show abstract

One-year trajectories of physical and mental health-related quality of life, fatigue and dyspnoea in COVID-19 survivors

Schaap,

Davelaar,

ten Klooster

et al. 2024

Qual Life Res

View full text Add to dashboard Cite

Purpose A substantial number of people experience a persisting impact on health-related quality of life (HRQoL) after COVID-19. The current study aims to identify different trajectories of physical and mental HRQoL, fatigue severity, and dyspnoea severity following hospitalisation with COVID-19, and associated factors of these trajectories. Methods 500 patients with COVID-19 were followed for one year in a longitudinal cohort study. Self-reported outcomes were measured at 3, 6, 9, and 12 months after hospitalisation. Distinct trajectories were characterised using Growth Mixture Modelling. Sociodemographic and clinical correlates of trajectories were investigated using multivariable (multinomial) logistic regression analyses. Results Three trajectories (‘stable high’ (16%), ‘improving’ (40%), and ‘stable low’ (44%)) were found for physical HRQoL, and four (‘stable high’ (43%), ‘improving’ (14%), ‘middle declining’ (17%), and ‘low’ (26%)) for mental HRQoL. Older age, overweight and obesity, lower education, and comorbidities were associated with ‘low’ physical HRQoL. Younger age was associated with ‘low’ mental HRQoL. Four fatigue trajectories (‘no fatigue’ (15%), ‘improving’ (40%), ‘low-severe’ (27%), and ‘high-severe’ (18%)) were found. Participants either experienced almost never (‘no dyspnoea’, 75%) or almost always (‘severe’, 25%) dyspnoea. High co-occurrences between low HRQoL and severe fatigue and dyspnoea symptom trajectories were found. Conclusion A substantial number of COVID-19 survivors continue to struggle with reduced HRQoL over time. However, large variations in these physical and mental HRQoL trajectories exist, and trajectories are associated with persisting COVID-19-related symptoms or pre-hospitalised health status. Regular measurement of HRQoL and post-COVID symptoms may help identify those that may benefit from timely interventions.

show abstract

Analysis of six consecutive waves of ICU-admitted COVID-19 patients: key findings and insights from a Portuguese population

Von Rekowski,

Pinto,

Fonseca

et al. 2024

GeroScience

View full text Add to dashboard Cite

Identifying high-risk patients, particularly in intensive care units (ICUs), enhances treatment and reduces severe outcomes. Since the pandemic, numerous studies have examined COVID-19 patient profiles and factors linked to increased mortality. Despite six pandemic waves, to the best of our knowledge, there is no extensive comparative analysis of patients’ characteristics across these waves in Portugal. Thus, we aimed to analyze the demographic and clinical features of 1041 COVID-19 patients admitted to an ICU and their relationship with the different SARS-Cov-2 variants in Portugal. Additionally, we conducted an in-depth examination of factors contributing to early and late mortality by analyzing clinical data and laboratory results from the first 72 h of ICU admission. Our findings revealed a notable decline in ICU admissions due to COVID-19, with the highest mortality rates observed during the second and third waves. Furthermore, immunization could have significantly contributed to the reduction in the median age of ICU-admitted patients and the severity of their conditions. The factors contributing to early and late mortality differed. Age, wave number, D-dimers, and procalcitonin were independently associated with the risk of early death. As a measure of discriminative power for the derived multivariable model, an AUC of 0.825 (p < 0.001; 95% CI, 0.719–0.931) was obtained. For late mortality, a model incorporating age, wave number, hematologic cancer, C-reactive protein, lactate dehydrogenase, and platelet counts resulted in an AUC of 0.795 (p < 0.001; 95% CI, 0.759–0.831). These findings underscore the importance of conducting comprehensive analyses across pandemic waves to better understand the dynamics of COVID-19.

show abstract

Assessing serum C-reactive protein as a predictor of COVID-19 outcomes: a retrospective cross-sectional study

Cited by 6 publications

References 18 publications

Clinical Features and Prognostic Predictors in Patients with Renal Transplant Complicated by SARS-CoV-2 Infection, a Retrospective Single-Center Study

Clinical Features and Prognostic Predictors in Patients with Renal Transplant Complicated by SARS-CoV-2 Infection, a Retrospective Single-Center Study

One-year trajectories of physical and mental health-related quality of life, fatigue and dyspnoea in COVID-19 survivors

Analysis of six consecutive waves of ICU-admitted COVID-19 patients: key findings and insights from a Portuguese population

Contact Info

Product

Resources

About