The Mulbsta Score: Predicting Risk of Mortality and Disease Severity in Patients With Covid-19 Pneumonia

Tusha, Jurgena; Khanam, Verisha; Tegeltija, Vesna; Kumar, Sarwan

doi:10.1016/j.chest.2020.08.299

Cited by 2 publications

(2 citation statements)

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“…These modalities have been supported in COVID-19 pneumonia evaluation by studies. 4 , 5 Superiority of PSI over CURB-65 had been reported in a case series by Satici et al 6 which supports our results. 6 Same study also tried a modified PSI with CRP for evaluation, however, no significant differences were observed compared to non-modified PSI.…”

Section: Discussionsupporting

confidence: 92%

Coronavirus Disease 2019 Pneumonia Scoring System Comparison and Risk Factors

Ensarioglu¹,

Erdol²,

Kurt³

et al. 2022

Turk Thorac J

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OBJECTIVE: Coronavirus disease 2019 is a disease caused by severe acute respiratory syndrome coronavirus 2, a novel type of coronavirus, which causes pneumonia in some hosts. No specific scoring method exists for mortality evaluation in novel coronavirus pneumonia. The aim of this study was to investigate factors affecting coronavirus disease 2019 mortality and comparison of pneumonia scoring systems, pneumonia severity index, CURB-65, and MuLBSTA. MATERIAL AND Methods: In this single-center clinical study, 151 patients who had been diagnosed with coronavirus disease 2019 infection and pneumonia between March 11 and May 31, 2020, were evaluated retrospectively. Correlation between patients’ symptoms, comorbidities, drugs in use, radiological findings, and mortality was investigated. Parameters were also evaluated regarding their contribution to additional treatment requirements and days of fever response. Results: A correlation between mortality and higher scores of pneumonia severity index, CURB-65, and MuLBSTA was found. When parameters were investigated separately, elevated glucose and urea levels, presence of diabetes, renal failure, hypertension, chronic obstructive pulmonary disease, cerebrovascular events and known malignancies, lymphocyte count, smoking history, radiological findings, and age correlated with mortality. In addition to these parameters, elevated calcium, potassium, brain natriuretic peptide, troponin, d -dimer, C-reactive protein, HC03, and lactate dehydrogenase levels were found significant regarding mortality. These parameters were not found statistically relevant regarding additional treatment requirement, fever response day, and total treatment duration. Conclusion: A modified version of present pneumonia scoring systems will be required to rigorously evaluate the severity of a patient’s condition. A new scoring system that uses components of the present ones may prove useful and with further studies, a similar follow-up algorithm may be created.

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Section: Discussionsupporting

confidence: 92%

Coronavirus Disease 2019 Pneumonia Scoring System Comparison and Risk Factors

Ensarioglu¹,

Erdol²,

Kurt³

et al. 2022

Turk Thorac J

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“…There has been great interest in defining an early laboratory parameter that can be predictive of disease severity in COVID-19 patients. The muLBSTA score was proposed as an approachable predictor of viral pneumonia severity prior to the COVID-19 pandemic [ 48 ], and has also been successfully applied to COVID-19 [ 49 , 50 ]. However, this score does not take into account a key aspect of COVID-19 pathology, namely the contribution of neutrophils to severe/critical disease.…”

Section: Discussionmentioning

confidence: 99%

High dimensional profiling identifies specific immune types along the recovery trajectories of critically ill COVID19 patients

Penttila

Gassen

Panovska

et al. 2021

Cell. Mol. Life Sci.

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The COVID-19 pandemic poses a major burden on healthcare and economic systems across the globe. Even though a majority of the population develops only minor symptoms upon SARS-CoV-2 infection, a significant number are hospitalized at intensive care units (ICU) requiring critical care. While insights into the early stages of the disease are rapidly expanding, the dynamic immunological processes occurring in critically ill patients throughout their recovery at ICU are far less understood. Here, we have analysed whole blood samples serially collected from 40 surviving COVID-19 patients throughout their recovery in ICU using high-dimensional cytometry by time-of-flight (CyTOF) and cytokine multiplexing. Based on the neutrophil-to-lymphocyte ratio (NLR), we defined four sequential immunotypes during recovery that correlated to various clinical parameters, including the level of respiratory support at concomitant sampling times. We identified classical monocytes as the first immune cell type to recover by restoration of HLA-DR-positivity and the reduction of immunosuppressive CD163 + monocytes, followed by the recovery of CD8 + and CD4 + T cell and non-classical monocyte populations. The identified immunotypes also correlated to aberrant cytokine and acute-phase reactant levels. Finally, integrative analysis of cytokines and immune cell profiles showed a shift from an initially dysregulated immune response to a more coordinated immunogenic interplay, highlighting the importance of longitudinal sampling to understand the pathophysiology underlying recovery from severe COVID-19. Supplementary Information The online version contains supplementary material available at 10.1007/s00018-021-03808-8.

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The Mulbsta Score: Predicting Risk of Mortality and Disease Severity in Patients With Covid-19 Pneumonia

Cited by 2 publications

References 0 publications

Coronavirus Disease 2019 Pneumonia Scoring System Comparison and Risk Factors

Coronavirus Disease 2019 Pneumonia Scoring System Comparison and Risk Factors

High dimensional profiling identifies specific immune types along the recovery trajectories of critically ill COVID19 patients

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