Aetiology, outcomes &amp; predictors of mortality in acute respiratory distress syndrome from a tertiary care centre in north India

Sharma, Surendra Kumar; Gupta, Anunay; Biswas, Ashutosh; Sharma, Abhishek; Malhotra, Atul; Prasad, Kameshwar; Vishnubhatla, Sreenivas; Ajmani, Sajal; Mishra, Hridesh; Soneja, Manish; Broor, Shobha

doi:10.4103/0971-5916.192063

Cited by 36 publications

(38 citation statements)

References 28 publications

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“…The increase of hs-CRP, an important marker for poor prognosis in acute respiratory distress syndrome 12,13 , reflects a persistent state of inflammation 14 . The result of this persistent inflammatory response is large grey-white lesions in the lungs of patients with COVID-19 (seen in autopsy) 15 .…”

Section: Discussionmentioning

confidence: 99%

An interpretable mortality prediction model for COVID-19 patients

et al. 2020

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Section: Discussionmentioning

confidence: 99%

An interpretable mortality prediction model for COVID-19 patients

et al. 2020

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“…Higher serum hs-CRP could also be used to predict the risk of death in severe COVID-19 patients. The increase of hs-CRP, an important marker for poor prognosis in ARDS 7,8 , reflects the persistent state of inflammation 9 . The result of this persistent inflammatory response is large grey-white lesions in the lungs of patients with COVID-19 (what was seen in the autopsy) 10 .…”

Section: Discussionmentioning

confidence: 99%

A machine learning-based model for survival prediction in patients with severe COVID-19 infection

Liu

Zhang

Gonçalves

et al. 2020

Preprint

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We screened the electronic records of 2,799 patients admitted in Tongji Hospital from January 10th to February 18th, 2020. There were 375 discharged patients including 201 survivors. We built a prognostic prediction model based on XGBoost machine learning algorithm and then tested 29 patients (included 3 patients from other hospital) who were cleared after February 19th. Results:The mean age of the 375 patients was 58.83 years old with 58.7% of males. Fever was the most common initial symptom (49.9%), followed by cough (13.9%), fatigue (3.7%), and dyspnea (2.1%). Our model identified three key clinical features, i.e., lactic dehydrogenase (LDH), lymphocyte and High-sensitivity C-reactive protein (hs-CRP), from a pool of more than 300 features. The clinical route is simple to check and can precisely and quickly assess the risk of death. Therefore, it is of great clinical significance. : medRxiv preprint Conclusion:The three indices-based prognostic prediction model we built is able to predict the mortality risk, and present a clinical route to the recognition of critical cases from severe cases. It can help doctors with early identification and intervention, thus potentially reducing mortality.

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“…Overall, ARDS mortality is described around 40 to 50% [ 6 , 32 ] and malaria associated ARDS mortality ranged from 20 to 95% in developing countries [ 10 – 12 ]. In our study, in-hospital case-fatality ratio was 6.3% in the ARDS group.…”

Section: Discussionmentioning

confidence: 99%

Descriptive Acute Respiratory Distress Syndrome (ARDS) in adults with imported severe Plasmodium falciparum malaria: A 10 year-study in a Portuguese tertiary care hospital

et al. 2020

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Background Acute respiratory distress syndrome (ARDS) is a severe complication of malaria that remains largely unstudied. We aim to describe the development of ARDS associated with severe P. falciparum malaria, its management and impact on clinical outcome. Methods Retrospective observational study of adult patients admitted with severe P. falciparum malaria in an Intensive Care Unit (ICU) of a tertiary care hospital from Portugal from 2008 to 2018. A multivariate logistic regression analysis was used to identify factors associated with the development of ARDS, defined according to Berlin Criteria. Prognosis was assessed by case-fatality ratio, nosocomial infection and length of stay. Results 98 patients were enrolled, of which 32 (33%) developed ARDS, a median of 2 days after starting antimalarial medication (IQR 0-4, range 0-6). Length of stay in ICU and in hospital were significantly longer in patients who developed ARDS: 13 days (IQR 10-18) vs 3 days (IQR 2-5) and 21 days (IQR 15-30.5) vs 7 days (IQR 6-10), respectively. Overall casefatality ratio in ICU was 4.1% and did not differ between groups. The risk of ARDS development is difficult to establish.

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Aetiology, outcomes & predictors of mortality in acute respiratory distress syndrome from a tertiary care centre in north India

Cited by 36 publications

References 28 publications

An interpretable mortality prediction model for COVID-19 patients

An interpretable mortality prediction model for COVID-19 patients

A machine learning-based model for survival prediction in patients with severe COVID-19 infection

Descriptive Acute Respiratory Distress Syndrome (ARDS) in adults with imported severe Plasmodium falciparum malaria: A 10 year-study in a Portuguese tertiary care hospital

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