Corpus overview


MeSH Disease

Human Phenotype


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    The Spectrum of Cardiovascular Complications in COVID-19- A Comprehensive Literature Review

    Authors: Raja Shakeel Mushtaque; Rabia Mushtaque; Shahbano Baloch; Aadil Raza; Haseeb Bhatti; Zohaib Khan

    id:10.20944/preprints202008.0257.v1 Date: 2020-08-11 Source:

    A newly identified novel coronavirus named as severe acute respiratory syndrome MESHD-related coronavirus2 (SARS‐CoV 2) has given rise to the global pandemic. SARS-CoV2 which causes coronavirus disease MESHD 2019 (COVID-19), is a positive-stranded RNA virus with nucleocapsid. It binds to host angiotensin-converting enzyme2 (ACE2) receptor through surface glycoprotein (S protein). These ACE 2 receptors are attached to the cell membranes of many organs. Thus, COVID-19 does not only result in acute respiratory distress HP syndrome MESHD but also affects multiple organ systems, requiring a multidisciplinary approach to manage this disease MESHD. COVID-19 can damage the myocardial cells and result in fulminant myocarditis MESHD myocarditis HP, acute cardiac injury, cardiomyopathy MESHD cardiomyopathy HP, heart failure MESHD, cardiogenic shock MESHD cardiogenic shock HP, or arrhythmia HP. COVID-19 seeds harmful immune response through cytokine storm leading to indirect organ damage. In this literature review, the available data is comprehended regarding cardiovascular complications in COVID-19, and the correlation of biomarkers with the disease MESHD activity is discussed. This literature review also highlights the important treatment options and outcomes of the individual study.

    A Large-Scale Clinical Validation Study Using nCapp Cloud Plus Terminal by Frontline Doctors for the Rapid Diagnosis of COVID-19 and COVID-19 pneumonia MESHD pneumonia HP in China

    Authors: Dawei Yang; Tao Xu; Xun Wang; Deng Chen; Ziqiang Zhang; Lichuan Zhang; Jie Liu; Kui Xiao; Li Bai; Yong Zhang; Lin Zhao; Lin Tong; Chaomin Wu; Yaoli Wang; Chunling Dong; Maosong Ye; Yu Xu; Zhenju Song; Hong Chen; Jing Li; Jiwei Wang; Fei Tan; Hai Yu; Jian Zhou; Jinming Yu; Chunhua Du; Hongqing Zhao; Yu Shang; Linian Huang; Jianping Zhao; Yang Jin; Charles A. Powell; Yuanlin Song; Chunxue Bai

    doi:10.1101/2020.08.07.20163402 Date: 2020-08-11 Source: medRxiv

    Background The outbreak of coronavirus disease MESHD 2019 (COVID-19) has become a global pandemic acute infectious disease MESHD, especially with the features of possible asymptomatic TRANS carriers TRANS and high contagiousness. It causes acute respiratory distress HP syndrome MESHD and results in a high mortality rate if pneumonia MESHD pneumonia HP is involved. Currently, it is difficult to quickly identify asymptomatic TRANS cases or COVID-19 patients with pneumonia MESHD pneumonia HP due to limited access to reverse transcription-polymerase chain reaction (RT-PCR) nucleic acid tests and CT scans, which facilitates the spread of the disease TRANS disease MESHD at the community level, and contributes to the overwhelming of medical resources in intensive care units. Goal This study aimed to develop a scientific and rigorous clinical diagnostic tool for the rapid prediction of COVID-19 cases based on a COVID-19 clinical case database in China, and to assist global frontline doctors to efficiently and precisely diagnose asymptomatic TRANS COVID-19 patients and cases who had a false-negative RT-PCR test result. Methods With online consent, and the approval of the ethics committee of Zhongshan Hospital Fudan Unversity (approval number B2020-032R) to ensure that patient privacy is protected, clinical information has been uploaded in real-time through the New Coronavirus Intelligent Auto-diagnostic Assistant Application of cloud plus terminal (nCapp) by doctors from different cities (Wuhan, Shanghai, Harbin, Dalian, Wuxi, Qingdao, Rizhao, and Bengbu) during the COVID-19 outbreak in China. By quality control and data anonymization on the platform, a total of 3,249 cases from COVID-19 high-risk groups were collected. These patients had SARS-CoV-2 RT-PCR test results and chest CT scans, both of which were used as the gold standard for the diagnosis of COVID-19 and COVID-19 pneumonia MESHD pneumonia HP. In particular, the dataset included 137 indeterminate cases who initially did not have RT-PCR tests and subsequently had positive RT-PCR results, 62 suspected cases who initially had false-negative RT-PCR test results and subsequently had positive RT-PCR results, and 122 asymptomatic TRANS cases who had positive RT-PCR test results, amongst whom 31 cases were diagnosed. We also integrated the function of a survey in nCapp to collect user feedback from frontline doctors. Findings We applied the statistical method of a multi-factor regression model to the training dataset (1,624 cases) and developed a prediction model for COVID-19 with 9 clinical indicators that are fast and accessible: 'Residing or visiting history in epidemic regions', 'Exposure history to COVID-19 patient', 'Dry cough MESHD cough HP', ' Fatigue MESHD Fatigue HP', 'Breathlessness', 'No body temperature decrease after antibiotic treatment', 'Fingertip blood SERO oxygen saturation<=93%', ' Lymphopenia MESHD Lymphopenia HP', and 'C-reactive protein (CRP) increased'. The area under the receiver operating characteristic (ROC) curve (AUC) for the model was 0.88 (95% CI: 0.86, 0.89) in the training dataset and 0.84 (95% CI: 0.82, 0.86) in the validation dataset (1,625 cases). To ensure the sensitivity SERO of the model, we used a cutoff value of 0.09. The sensitivity SERO and specificity of the model were 98.0% (95% CI: 96.9%, 99.1%) and 17.3% (95% CI: 15.0%, 19.6%), respectively, in the training dataset, and 96.5% (95% CI: 95.1%, 98.0%) and 18.8% (95% CI: 16.4%, 21.2%), respectively, in the validation dataset. In the subset of the 137 indeterminate cases who initially did not have RT-PCR tests and subsequently had positive RT-PCR results, the model predicted 132 cases, accounting for 96.4% (95% CI: 91.7%, 98.8%) of the cases. In the subset of the 62 suspected cases who initially had false-negative RT-PCR test results and subsequently had positive RT-PCR results, the model predicted 59 cases, accounting for 95.2% (95% CI: 86.5%, 99.0%) of the cases. Considering the specificity of the model, we used a cutoff value of 0.32. The sensitivity SERO and specificity of the model were 83.5% (95% CI: 80.5%, 86.4%) and 83.2% (95% CI: 80.9%, 85.5%), respectively, in the training dataset, and 79.6% (95% CI: 76.4%, 82.8%) and 81.3% (95% CI: 78.9%, 83.7%), respectively, in the validation dataset, which is very close to the published AI model. The results of the online survey 'Questionnaire Star' showed that 90.9% of nCapp users in WeChat mini programs were 'satisfied' or 'very satisfied' with the tool. The WeChat mini program received a significantly higher satisfaction rate than other platforms, especially for 'availability and sharing convenience of the App' and 'fast speed of log-in and data entry'. Discussion With the assistance of nCapp, a mobile-based diagnostic tool developed from a large database that we collected from COVID-19 high-risk groups in China, frontline doctors can rapidly identify asymptomatic TRANS patients and avoid misdiagnoses of cases with false-negative RT-PCR results. These patients require timely isolation or close medical supervision. By applying the model, medical resources can be allocated more reasonably, and missed diagnoses can be reduced. In addition, further education and interaction among medical professionals can improve the diagnostic efficiency for COVID-19, thus avoiding the transmission TRANS of the disease from asymptomatic MESHD asymptomatic TRANS patients at the community level.

    Characteristics and outcomes of patients admitted to Swedish intensive care units for COVID-19 during the first 60 days of the 2020 pandemic: a registry-based, multicenter, observational study.

    Authors: Michelle S Chew; Patrik Blixt; Rasmus Ahman; Lars Engerstrom; Henrik Andersson; Ritva Kiiski Berggren; Anders Tegnell; Sarah McIntyre

    doi:10.1101/2020.08.06.20169599 Date: 2020-08-07 Source: medRxiv

    Background The mortality of patients admitted to the intensive care unit (ICU) with COVID-19 is unclear due to variable censoring and substantial proportions of undischarged patients at follow-up. Nationwide data have not been previously reported. We studied the outcomes of Swedish patients at 30 days after ICU admission. Methods We conducted a registry-based cohort study of all adult TRANS patients admitted to Swedish ICUs from 6 March-6 May, 2020 with laboratory confirmed COVID-19 disease MESHD and complete 30-day follow-up. Data including baseline characteristics, comorbidities, intensive care treatments, organ failures and outcomes were collected. The primary outcome was 30-day all-cause mortality. A multivariable model was used to determine the independent association between potential predictor variables and the primary outcome. Results A total of 1563 patients were identified. Median ICU length of stay was 12 (5-21) days, and fifteen patients remained in ICU at the time of follow-up. Median age TRANS was 61 (52-69), median Simplified Acute Physiology Score III (SAPS III) was 53 (46-59), and 66.8% had at least one comorbidity. Median PaO2/FiO2 on admission was 97.5 (75.0-140.6) mmHg, 74.7% suffered from moderate to severe acute respiratory distress HP syndrome MESHD (ARDS). The 30-day all-cause mortality was 26.7%. The majority of deaths MESHD occurred during ICU admission. Age TRANS, male TRANS sex (adjusted odds ratio [aOR] 1.5 [1.1-2.1]), SAPS III score (aOR 1.3 [1.2-1.4]), severe ARDS (aOR 3.1 [2.0-4.8], specific COVID-19 pharmacotherapy (aOR 1.4 [1.0-1.9]), and CRRT (aOR 2.2 [1.6-3.0]), were associated with increased mortality. With the exception of chronic lung disease HP lung disease MESHD, the presence of comorbidities was not independently associated with mortality. Conclusions Thirty-day mortality rate in COVID-19 patients admitted to Swedish intensive care units is generally lower than previously reported. Mortality appears to be driven by age TRANS, baseline disease MESHD severity, the degree of organ failure and ICU treatment, rather than preexisting comorbidities.

    COVID19: An Opinion on Animal Infections MESHD and Role of Veterinarians in One Health Perspective


    id:10.20944/preprints202008.0069.v1 Date: 2020-08-03 Source:

    Coronavirus disease MESHD is the current cause of global concern. The massive outbreak of COVID-19 has led the World Health Organization (WHO) to declare this as a pandemic situation. The Severe Acute Respiratory Syndrome MESHD Coronavirus-2 (SARSCoV-2) is responsible for COVID-19 leading to acute respiratory distress HP and substantial mortality in humans. However, the first laboratory confirmation of SARS-CoV-2 in a pet dog in Hong Kong has shown the possibility of human-to-animal transmission TRANS (zooanthroponotic) of the virus. Thereafter, many animals including cat, tiger, lion and mink have also been reported to acquire the virus in several countries. In this situation the role of veterinarian assumes important in treating the animals, helping in food security, disease MESHD diagnosis, surveillance and boosting the economy of livestock stakeholders at the grassroot level. In the absence of any selective vaccine or drug against SARS-CoV-2, the world is anticipated to triumph over this pandemic with collaborative, multisectoral, and transdisciplinary approach linking human, animal and environmental health. This article gives an insight into the confirmed SARS-CoV-2 outbreaks in animals, including the factors behind the shuffling of the virus among variety of species and also emphasizes on the role of veterinarian in managing and safeguarding public health so as to pave the way for adopting one health approach in order to conserve biodiversity.

    Clinical features and disease MESHD severity in an Iranian population of COVID-19 patients

    Authors: Shima Nabavi; Zahra Javidarabshahi; Abolghasem Allahyari; Mohammad Ramezani; Mohsen Seddigh-Shamsi; Sahar Ravanshad; Mina AkbariRad; Farnoosh Ebrahimzadeh; Shohre Khatami; Maryam Emadzadeh; Neda Saeedian; Ahmadreza Zarifian; Maryam Miri; Fariba Rezaeetalab; Sepide Hejazi; Reza Basiri; Mahnaz Mozdourian

    doi:10.21203/ Date: 2020-07-31 Source: ResearchSquare

    Objectives: Coronavirus disease MESHD 2019 (COVID-19) can present with a variety of symptoms. Severity of the disease MESHD may be associated with several factors. Here, we review clinical features of COVID-19 patients with different severities.Methods: This cross-sectional study was performed in Imam Reza hospital, Mashhad, Iran, during February-April 2020. COVID-19 patients with typical computed tomography (CT) patterns and/or positive reverse-transcriptase polymerase chain reaction (RT-PCR) were included. The patients were classified into three groups of moderate, severe, and critical based on disease MESHD severity. Demographic, clinical, laboratory, and radiologic findings were collected and compared. P<0.05 was considered statistically significant.Results: Overall, 200 patients with mean age TRANS of 69.75±6.39 years, of whom 82 (41%) were female TRANS were studied. Disease MESHD was severe/critical in the majority of patients (167, 83.5%). Disease MESHD severity was significantly associated with age TRANS, malignant comorbidities, dyspnea MESHD dyspnea HP, nausea MESHD nausea/vomiting HP/ vomiting MESHD, confusion MESHD confusion HP, respiratory rate, pulse rate, O2 saturation, extent of CT involvement, serum SERO C-reactive protein (CRP), pH, pO2, and aspartate transaminase (P<0.05). Moreover, complications including shock MESHD shock HP, coagulopathy, acidosis MESHD acidosis HP, sepsis MESHD sepsis HP, acute respiratory distress HP syndrome MESHD (ARDS), intensive care unit (ICU) admission, and intubation were significantly higher in patients with higher severities. O2 saturation, nausea MESHD nausea/vomiting HP/ vomiting MESHD, and extent of lung CT involvement were independent predictors of severe/critical COVID-19 (OR=0.342, 45.93, and 25.48, respectively; P<0.05).Conclusions: Our results indicate O2 saturation, nausea MESHD nausea/vomiting HP/ vomiting MESHD, and extent of lung CT involvement as independent predictors of severe COVID-19 conditions. Serum SERO CRP levels and pO2 were also considerably higher patients with higher severity and can be used along with other factors as possible predictors of severe disease MESHD in COVID-19 patients.

    Increased number of pulmonary megakaryocytes in COVID-19 patients with diffuse alveolar damage. An autopsy study with clinical correlation and review of the literature.

    Authors: Mariel F. Valdivia-Mazeyra; Clara Salas; Jesús M. Nieves-Alonso; Luz Martín-Fragueiro; Carmen Bárcena; Patricia Muñoz-Hernández; Karen Villar-Zarra; Javier Martín-López; Fernando Ramasco-Rueda; Javier Fraga; José A. Jiménez-Heffernan

    doi:10.21203/ Date: 2020-07-25 Source: ResearchSquare

    Megakaryocytes are normally present in the lung where they play a role in platelet homeostasis. The latter are well known to participate in the pathogenesis of lung damage, particularly in acute lung injury MESHD. Although megakaryocytes are usually not mentioned as a characteristic histopathologic finding associated to acute pulmonary injury, a few studies point out that their number is increased in the lungs of patients with diffuse alveolar damage. In this autopsy study we have observed a relevant number of pulmonary megakaryocytes in COVID-19 patients dying with acute respiratory distress HP syndrome MESHD. We have studied pulmonary tissue samples of 18 patients most of which died after prolonged disease MESHD and use of mechanical ventilation. Most samples showed fibroproliferative or fibrotic diffuse alveolar damage and an increased number of megakaryocytes. In six, thrombi of the pulmonary microcirculation were seen. We compare our findings with previous published autopsy reports, mainly focusing on the description of megakaryocytes. Our patients showed abnormal coagulation parameters with high levels of fibrinogen, D-dimers and variable thrombocytopenia MESHD thrombocytopenia HP. Since the lung is considered an active site of megakariopoiesis, a prothrombotic status leading to platelet activation, aggregation and consumption may trigger a compensatory pulmonary response. An increased number of pulmonary megakaryocytes suggests and supports a relation with the thrombotic events so often seen in COVID-19. Regardless of its etiology, future studies of patients dying with acute pulmonary injury should include pulmonary megakaryocytes as a histologic variable of interest.

    Cell type-specific immune dysregulation HP in severely ill COVID-19 patients

    Authors: Changfu Yao; Stephanie A Bora; Tanyalak Parimon; Tanzira Zaman; Oren A Friedman; Joseph A Palatinus; Nirmala S Surapaneni; Yuri P Matusov; Giuliana Cerro Chiang; Alexander G Kassar; Nayan Patel; Chelsi ER Green; Adam W Aziz; Harshpreet Suri; Jo Suda; Andres A Lopez; Gislaine A Martins; Barry R Stripp; Sina A Gharib; Helen S Goodridge; Peter Chen

    doi:10.1101/2020.07.23.20161182 Date: 2020-07-24 Source: medRxiv

    Coronavirus disease MESHD 2019 (COVID-19) has quickly become the most serious pandemic since the 1918 flu pandemic. In extreme situations, patients develop a dysregulated inflammatory lung injury MESHD called acute respiratory distress HP syndrome MESHD (ARDS) that causes progressive respiratory failure HP requiring mechanical ventilatory support. Recent studies have demonstrated immunologic dysfunction in severely ill COVID-19 patients. To further delineate the dysregulated immune response driving more severe clinical course from SARS-CoV-2 infection MESHD, we used single-cell RNA sequencing (scRNAseq) to analyze the transcriptome of peripheral blood SERO mononuclear cells (PBMC) from hospitalized COVID-19 patients having mild disease MESHD (n = 5), developing ARDS (n = 6), and recovering from ARDS (n = 6). Our data demonstrated an overwhelming inflammatory response with select immunodeficiencies HP within various immune populations in ARDS patients. Specifically, their monocytes had defects in antigen presentation and deficiencies in interferon responsiveness that contrasted the higher interferon signals in lymphocytes. Furthermore, cytotoxic activity was suppressed in both NK and CD8 lymphocytes whereas B cell activation was deficient, which is consistent with the delayed viral clearance in severely ill COVID-19 patients. Finally, we identified altered signaling pathways in the severe group that suggests immunosenescence and immunometabolic changes could be contributing to the dysfunctional immune response. Our study demonstrates that COVID-19 patients with ARDS have an immunologically distinct response when compared to those with a more innocuous disease MESHD course and show a state of immune imbalance in which deficiencies in both the innate and adaptive immune response may be contributing to a more severe disease MESHD course in COVID-19.

    Chronic Hemodialysis Patients have better outcomes with COVID-19 - a retrospective cohort study

    Authors: Ashutossh Naaraayan; Abhishek Nimkar; Amrah Hasan; Sushil Pant; Momcilo Durdevic; Henrik Elenius; Corina Nava Suarez; Prasanta Basak; Kameswari Lakshmi; Michael Mandel; Stephen Jesmajian

    doi:10.1101/2020.07.22.20159202 Date: 2020-07-24 Source: medRxiv

    Introduction Several comorbid conditions, have been identified as risk factors in patients with COVID-19. However, there is a dearth of data describing the impact of COVID-19 infection MESHD in patients with end-stage renal disease MESHD on hemodialysis (ESRD-HD). Methods This retrospective case series analyzed 362 adult TRANS patients consecutively hospitalized with confirmed COVID-19 illness between March 12, 2020 and May 13, 2020, at a teaching hospital in the New York City metropolitan area. Primary outcome was severe pneumonia MESHD pneumonia HP as defined by the World Health Organization. Secondary outcomes were: 1) the Combined Outcome of Acute respiratory distress HP syndrome MESHD or in-hospital Death MESHD (COAD), and 2) the need for High-levels of Oxygen supplementation (HiO2). Results Patients with ESRD-HD had lower odds for poor outcomes including severe pneumonia MESHD pneumonia HP [Odds Ratio (OR) 0.4, Confidence Interval (CI) (0.2-0.9) p=.04], HiO2 [OR 0.3, CI (0.1-0.8) p=.02] and COAD [OR 0.4, CI (0.2-1.05) p=.06], when compared to patients without ESRD. In contrast, higher odds for severe pneumonia MESHD pneumonia HP, COAD and HiO2 were seen with advancing age TRANS. African-Americans were over-represented in the hospitalized patient cohort, when compared to their representation in the community (35% vs 18%). Hispanics had higher odds for severe-illness and HiO2 when compared to Caucasians. Conclusions Patients with ESRD-HD had a milder course of illness with a lower likelihood of severe pneumonia MESHD pneumonia HP and a lesser need for aggressive oxygen supplementation when compared to patients not on chronic dialysis. This protective effect, might have a pathophysiologic basis and needs to be further explored.

    Early initiation of Extracorporeal Blood SERO Purification using the AN69ST (oXiris®) hemofilter as a treatment modality for COVID - 19 patients: a single-centre case series

    Authors: Petar Ugurov; Dijana Popevski; Tanja Gramosli; Dashurie Neziri; Dragica Vuckova; Emil Stoicovski; Lidija Veljanovska-Kiridjievska; Katerina Ignevska; Sanja Mehandziska; Elena Ambarkova; Rodney Alexander Rosalia; Zan Mitrev

    doi:10.21203/ Date: 2020-07-17 Source: ResearchSquare

    Introduction: Our understanding of the COVID-19 disease MESHD has been steadily evolving since the original outbreak in December 2019. Advanced disease MESHD is characterised by a hyperinflammatory state, systemic coagulopathies and multiorgan involvement, in particular respiratory distress HP. We here describe our initial experience with treating of COVID-19 patients based on early initiation of extracorporeal blood SERO purification, systemic heparinisation and respiratory support.Methods: 15 patients were included; 2 were females TRANS. We monitored real-time several biochemical, immunological and coagulation biomarkers associated with disease MESHD severity following admission to our dedicated COVID-19 intensive care unit. To guide personalised treatment, we monitored among others levels of IL-6, IL-8, TNF-α, C-Reactive Protein (CRP), Neutrophil-to-Lymphocyte ratios, Thrombocyte counts, D-Dimers, Fibrinogen, and Activation Clotting time (ACT).Treatment consisted of individualised respiratory support supplemented with 1 - 4 cycles of 24-hour Extracorporeal Organ Support (ECOS) and Blood SERO Purification using the AN69ST (oXiris®) hemofilter. We administered heparin (300 U/kg) to counter suspected hypercoagulability HP (= elevated Fibrinogen or D-dimers) states to maintain ACT ≥ 180 seconds.Results: N = 10 presented with severe to critical disease MESHD (= dyspnoea, hypoxia MESHD, respiratory rate > 30/min, peripheral oxygen saturation < 90%, or > 50% lung involvement on X-ray imaging). A single case was admitted with a critical condition (= respiratory failure HP). One patient died after 5 days of hospitalisation after developing Acute Respiratory Syndrome MESHD. 8 Patients have been discharged - average ICU length-of-stay was 9.9 ± 2.4 days. Clinical improvement was associated with normalisation (increase) of thrombocytes, white blood SERO cells, stable levels of IL-6 (< 50 ng/mL) and a decrease of CRP and Fibrinogen. Conclusion: Means to monitor COVID-19 disease MESHD severity during hospitalisation are crucial to control disease progression MESHD and prevent hyperinflammation and irreversible multiorgan failure. We present here a real-time monitoring system accounting for biochemical, immunological, coagulation parameters and radiological imaging. The combination of systemic heparin anticoagulation regimens and blood SERO purification may prevent hyperinflammation, thromboembolism MESHD thromboembolism HP during hospitalisation and thus support clinical recovery. 

    Lung ultrasound and computed tomography to monitor COVID-19 pneumonia MESHD pneumonia HP in critically ill patients: a two-center prospective cohort study

    Authors: Micah Heldeweg; Jorge A. Lopez Matta; Mark E. Haaksma; Jasper M. Smit; Carlos V. Elzo Kraemer; Harm-Jan S. de Grooth; E. de Jonge; L.J. Meijboom; Leo M.A. Heunks; David J. van Westerloo; Pieter Roel Tuinman

    doi:10.21203/ Date: 2020-07-17 Source: ResearchSquare

    Background: Lung ultrasound can adequately monitor disease MESHD severity in pneumonia MESHD pneumonia HP and acute respiratory distress HP syndrome MESHD. We hypothesize lung ultrasound can adequately monitor COVID-19 pneumonia MESHD pneumonia HP in critically ill patients. Methods: Adult TRANS patients with COVID-19 pneumonia MESHD pneumonia HP admitted to the intensive care unit of two academic hospitals who underwent a 12-zone lung ultrasound and a chest CT examination were included. Baseline characteristics, and outcomes including composite endpoint death MESHD or ICU stay >30 days were recorded. Lung ultrasound and CT images were quantified as a Lung Ultrasound Score Involvement index (LUSI) and CT Severity Involvement index (CTSI). Primary outcome was the correlation, agreement, and concordance between LUSI and CTSI. Secondary outcome was the association of LUSI and CTSI with the composite endpoints.Results: We included 55 ultrasound examinations in 34 patients, which were 88% were male TRANS, with a mean age TRANS of 63 years and mean P/F ratio of 151. The correlation between LUSI and CTSI was strong (r=0.795), with an overall 15% bias, and limits of agreement ranging -40 to 9.7. Concordance between changes in sequentially measured LUSI and CTSI was 81%. In the univariate model, high involvement on LUSI and CTSI were associated with a composite endpoint. In the multivariate model, LUSI was the only remaining independent predictor.Conclusions: Lung ultrasound can be used as an alternative for chest CT in monitoring COVID-19 pneumonia MESHD pneumonia HP in critically ill patients as it can quantify pulmonary involvement, register changes over the course of the disease MESHD, and predict death MESHD or ICU stay >30 days.Trial registration: NTR, NL8584. registered 01 May 2020 - retrospectively registered,

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MeSH Disease
Human Phenotype

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