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1.
PLoS One ; 19(6): e0304508, 2024.
Article in English | MEDLINE | ID: mdl-38829891

ABSTRACT

BACKGROUND: ARDS is a heterogeneous syndrome with distinct clinical phenotypes. Here we investigate whether the presence or absence of large pulmonary ultrasonographic consolidations can categorize COVID-19 ARDS patients requiring mechanical ventilation into distinct clinical phenotypes. METHODS: This is a retrospective study performed in a tertiary-level intensive care unit in Israel between April and September 2020. Data collected included lung ultrasound (LUS) findings, respiratory parameters, and treatment interventions. The primary outcome was a composite of three ARDS interventions: prone positioning, high PEEP, or a high dose of inhaled nitric oxide. RESULTS: A total of 128 LUS scans were conducted among 23 patients. The mean age was 65 and about two-thirds were males. 81 scans identified large consolidation and were classified as "C-type", and 47 scans showed multiple B-lines with no or small consolidation and were classified as "B-type". The presence of a "C-type" study had 2.5 times increased chance of receiving the composite primary outcome of advanced ARDS interventions despite similar SOFA scores, Pao2/FiO2 ratio, and markers of disease severity (OR = 2.49, %95CI 1.40-4.44). CONCLUSION: The presence of a "C-type" profile with LUS consolidation potentially represents a distinct COVID-19 ARDS subphenotype that is more likely to require aggressive ARDS interventions. Further studies are required to validate this phenotype in a larger cohort and determine causality, diagnostic, and treatment responses.


Subject(s)
COVID-19 , Lung , Phenotype , Respiratory Distress Syndrome , Ultrasonography , Humans , COVID-19/diagnostic imaging , Male , Female , Retrospective Studies , Aged , Ultrasonography/methods , Lung/diagnostic imaging , Middle Aged , Respiratory Distress Syndrome/diagnostic imaging , SARS-CoV-2 , Respiration, Artificial , Intensive Care Units
2.
Eur J Intern Med ; 124: 84-88, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38307732

ABSTRACT

INTRODUCTION: Total body computerized tomography (TBCT) is frequently used as a diagnostic tool for fever of unknown origin (FUO) workup instead of a recommended fluorodeoxyglucose positron emission tomography FDG-PET/CT. We have assessed the TBCT diagnostic yield on a large, unselected cohort of patients with FUO. METHODS: We performed a single-center retrospective cohort study, examining all patients hospitalized in internal medicine between 2012 and 2019 with a documented fever and three negative blood cultures who subsequently had a total-body CT performed. After manually reviewing, we included 408 who met the criteria of FUO. We defined a positive study as a scan that led to the documented final diagnosis. RESULTS: A total of 164 patients (40.2 %) had a positive TBCT result. The majority of positive CT findings were of infectious etiologies (58.5 %), followed by neoplasms (22.8 %) and inflammatory disorders (14.0 %), with the chest (43.9 %) and abdomen (29.8 %) most affected. Using a logistic regression model, a positive scan results were associated with an elevated CRP (p<0.001). Decision tree analysis showed that 55 % of scans of patients with an elevated CRP (>6 mg/dL), low hemoglobin and high leucocyte count (>18000/ml) were positive. Patients without an elevated CRP had a positive scan in only 26 % of tests, and those with also an elevated albumin (>4 gr/dL) and low CRP had positive scan in only 11 % of cases. CONCLUSIONS: TBCT has a clinically significant yield under specific clinical scenarios in medical patients with FUO- reaching 55 % in patients with an elevated CRP and leukocyte count and low hemoglobin. It is reasonable to proceed to TTBCT when FDG-PET/CT is unavailable and in well-defined clinical situations.


Subject(s)
C-Reactive Protein , Fever of Unknown Origin , Tomography, X-Ray Computed , Humans , Fever of Unknown Origin/diagnostic imaging , Fever of Unknown Origin/etiology , Male , Female , Retrospective Studies , Middle Aged , Aged , C-Reactive Protein/analysis , Aged, 80 and over , Logistic Models , Hospitalization , Adult , Whole Body Imaging , Neoplasms/complications , Neoplasms/diagnostic imaging , Positron Emission Tomography Computed Tomography
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