Hemoperfusion in patients with severe COVID-19 respiratory failure, lifesaving or not?

Surveying haemoperfusion impact on COVID-19 from machine learning using Shapley values

BACKGROUND

Haemoperfusion (HP) is an innovative extracorporeal therapy that utilizes special cartridges to filter the blood, effectively removing pro-inflammatory cytokines, toxins, and pathogens in COVID-19 patients. This retrospective cohort study aimed to assess the clinical benefits of HP for severe COVID-19 cases using Shapley values for machine learning models.

METHODS

The research involved 578 inpatients (≥ 20 years old) admitted to Baqiyatallah hospital (Tehran, Iran). The control group (359 patients) received standard treatment, including high doses of corticosteroids (a single 500 mg methylprednisolone pulse, followed by 250 mg for 2 days), categorized as regimen (I). On the other hand, the HP group (219 patients) received regimen II, consisting of the same corticosteroid treatment (regimen I) along with haemoperfusion using Cytosorb H300. The frequency of haemoperfusion sessions varied based on the type of lung involvement determined by chest CT scans. In addition, the value function v defines the Shapley value of the i th feature for the query point x , where the input matrix features represent individual characteristics, drugs, and history and clinical conditions of the patient.

RESULTS

Our data showed a favorable clinical response in the HP group compared to the control group. Notably, one-to-three sessions of HP using the CytoSorb® 300 cartridge led to reduced ventilation requirements and mortality rates in severe COVID-19 patients. Shapley values were calculated to evaluate the contribution of haemoperfusion among other factors, such as side effects, medications, and individual characteristics, to COVID-19 patient outcomes. In addition, there is a significant difference between the two groups among the treatments and medications used remdesivir, adalimumab, tocilizumab, favipiravir, Interferon beta-1a, enoxaparin prophylaxis, enoxaparin full dose, heparin prophylaxis, and heparin full dose (P < 0.05). It seems that haemoperfusion has a positive impact on the reduction of inflammation markers and renal functional such as ferritin and creatinine, respectively, as well as D-dimer and WBC levels in the HP group were significantly lower than the control group.

CONCLUSION

The findings indicated that haemoperfusion played a crucial role in predicting patient survival, making it a significant feature in classifying patients' prognoses.

A comprehensive and systematic literature review on the big data management techniques in the internet of things

The Internet of Things (IoT) is a communication paradigm and a collection of heterogeneous interconnected devices. It produces large-scale distributed, and diverse data called big data. Big Data Management (BDM) in IoT is used for knowledge discovery and intelligent decision-making and is one of the most significant research challenges today. There are several mechanisms and technologies for BDM in IoT. This paper aims to study the important mechanisms in this area systematically. This paper studies articles published between 2016 and August 2022. Initially, 751 articles were identified, but a paper selection process reduced the number of articles to 110 significant studies. Four categories to study BDM mechanisms in IoT include BDM processes, BDM architectures/frameworks, quality attributes, and big data analytics types. Also, this paper represents a detailed comparison of the mechanisms in each category. Finally, the development challenges and open issues of BDM in IoT are discussed. As a result, predictive analysis and classification methods are used in many articles. On the other hand, some quality attributes such as confidentiality, accessibility, and sustainability are less considered. Also, none of the articles use key-value databases for data storage. This study can help researchers develop more effective BDM in IoT methods in a complex environment.

Apheresis and COVID-19 in intensive care unit (ICU)

Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The first known case was identified in Wuhan, China, in December 2019. The disease has since spread worldwide, and on March 2020 the World Health Organization (WHO) declared it as pandemic, causing a public health crisis. Symptoms of COVID-19 are variable, ranging from mild symptoms like fever, cough, and fatigue to severe illness. Elderly patients and those with comorbidities like cardiovascular disease, diabetes, chronic respiratory disease, or cancer are more likely to develop severe forms of the disease. Asymptomatic infections have been well documented. Accumulating evidence suggests that the severity of COVID-19 is due to high levels of circulating inflammatory mediators including cytokines and chemokines leading to cytokine storm syndrome (CSS). Patients are admitted in ICU with severe respiratory failure, but can also develop acute renal failure and multi organ failure. Advances in science and technology have permitted the development of more sophisticated therapies such as extracorporeal organ support (ECOS) therapies that includes renal replacement therapies (RRTs), venoarterial (VA) or veno-venous (VV) extracorporeal membrane Oxygenation (ECMO), extracorporeal CO2 removal (ECCO2R), liver support systems, hemoperfusion, and various blood purification devices, for the treatment of ARDS and septic shock.

Comparison of outcomes and costs of extracorporeal blood purification therapies in critically ill COVID-19 patients

INTRODUCTION

Plasmapheresis and hemoperfusion are used against cytokine release syndrome in COVID-19. This study aims to compare their outcomes, costs, and side-effects.

METHODS

Survival, costs and side-effects were compared in intensive care unit (ICU) patients receiving plasmapheresis (n = 49), hemoperfusion (n = 20), or none (n = 107), followed until death or discharge.

RESULTS

Plasmapheresis survival time was higher than hemoperfusion or controls (HR = 0.764, p = 0.397 and HR = 0.483, p = 0.002, respectively), although the latter diminished after controlling for age and disease severity (p = 0.979). There was no significant difference in ICU costs for plasmapheresis and hemoperfusion (p = 0.738) while both costed more than controls (both p < 0.001). Hypocalcemia and thrombocytopenia incidence did not differ between two groups (p = 0.124 and p = 0.389, respectively) while being higher than controls in plasmapheresis (both p < 0.001) and hemoperfusion (p < 0.001 and p = 0.056, respectively).

CONCLUSION

Plasmapheresis and hemoperfusion do not differ significantly in patient survival, ICU costs and side-effects with a higher incidence of hypocalcemia and thrombocytopenia compared witcontrols.