| Literature DB >> 33969285 |
Omkar Indari1, Budhadev Baral1, Kartik Muduli2, Ambika Prasad Mohanty3, Natabar Swain4, Nirmal Kumar Mohakud4, Hem Chandra Jha1.
Abstract
In malaria-endemic regions, people often get exposed to various pathogens simultaneously, generating co-infection scenarios. In such scenarios, overlapping symptoms pose serious diagnostic challenges. The delayed diagnosis may lead to an increase in disease severity and catastrophic events. Recent coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has affected various areas globally, including malaria-endemic regions. The Plasmodium and SARS-CoV-2 co-infection and its effect on the health are yet unexplored. We present a case report of a previously healthy, middle-aged individual from the malaria-endemic area who suffered SARS-CoV-2 and Plasmodium falciparum co-infection. The patient developed severe disease indications in the short time period. The patient showed neurological symptoms, altered hematological as well as liver-test parameters, and subsequent death in a narrow time-span. We hereby discuss the various aspects of this case regarding treatment and hematological parameters. Further, we have put forward perspectives related to the mechanism behind severity and neurological symptoms in this fatal parasite-virus co-infection case. In malaria-endemic regions, due to overlapping symptoms, suspected COVID-19 patients should also be monitored for diagnosis of malaria without any delay. The SARS-CoV-2 and Plasmodium co-infection could increase the disease severity in a short time span. In treatment, dexamethasone may not help in severe case having malaria as well as COVID-19 positive status and needs further exploration.Entities:
Keywords: COVID-19; Cerebral malaria; Co-infection; Malaria; Plasmodium falciparum; SARS-CoV-2; neurological manifestation
Year: 2021 PMID: 33969285 PMCID: PMC8084910 DOI: 10.1016/j.bsheal.2021.04.001
Source DB: PubMed Journal: Biosaf Health ISSN: 2590-0536
Hematological and biochemical profile of the patient on respective days of illness/hospitalization. The altered parameter values have been highlighted in bold letters.
| Tests | Results | Normal range | ||
|---|---|---|---|---|
| Illness Day 4, Hospital Day 2 | Illness Day 5, Hospital Day 3 | Illness Day 6, Hospital Day 4 | ||
| WBC count | – | – | 4.00–10.00 × 103/μL | |
| RBC count | 4.75 × 106 | – | – | 4.50–5.50 × 106/μL |
| Haemoglobin | 13.80 | – | – | 13.00–17.00 g |
| PCV | 40.50 | – | – | 36.00%–46.00% |
| MCV | 85.20 | – | – | 83.00–101.00 fL/μm3 |
| MCH | 29.10 | – | – | 27.00–32.00 pg |
| MCHC | 34.10 | – | – | 31.50–34.50 g/dL |
| RDW-CV | 14.20 | – | – | 11.60%–14.00% |
| RDW-SD | 42.40 | – | – | 39.00–46.00 fL |
| Platelet count | – | – | 150.00–410.00 x103/μL | |
| MPV | 12.10 | – | – | 7.50–12.00 fL |
| Neutrophils | 80.00% | – | – | 40.00%–80.00% |
| Lymphocyte | – | – | 20.00%–40.00% | |
| Monocyte | 10.00% | – | – | 2.00%–10.00% |
| Eosinophil | – | – | 1.00%–6.00% | |
| Basophil | 0.00% | – | – | 0–2.00% |
| APTT | 36.10 | 30.00 | – | 30.00–40.00 s |
| PT with INR | 13.10 | – | 11.00–13.50 s (INR 0.8–1.1) | |
| Magnesium | 1.90 | – | – | 1.60–2.60 mg/dL |
| Calcium | – | – | 8.60–10.30 mg/dL | |
| Chloride | 95.00 | – | – | 95.00–110.00 mmol/L |
| Phosphorus | 2.70 | – | – | 2.50–4.50 mg/dL |
| Potassium | 5.20 | – | – | 3.50–5.50 mmol/L |
| Sodium | – | – | 136.00–145.00 mmol/L | |
| Urea | 33.00 | – | – | 12.00–42.00 mg/dL |
| Albumin | 3.60 | – | 3.50–5.20 gm/dL | |
| Total protein | – | 6.40–8.30 gm/dL | ||
| Globulin | 2.70 | – | 2.70 | 2.00–3.50 g/dL |
| SALP | 117.00 | – | 40.00–129.00 U/L | |
| SGGT | – | 10.00–60.00 U/L | ||
| AST | – | 0–40.00 U/L | ||
| ALT | – | 5.00–40.00 U/L | ||
| DBIL | – | 0.00–0.30 mg/dL | ||
| TBIL | – | 0.20–1.20 mg/dL | ||
| Creatinine | – | – | 0.90–1.30 mg/dL | |
| Ferritin | – | – | 20.00–250.00 ng/ml | |
Packed cell volume (PCV), Mean corpuscular volume (MCV), Mean corpuscular hemoglobin (MCH), Mean corpuscular hemoglobin concentration (MCHC), Red Blood Cell Distribution Width (RDW), Mean platelet volume (MPV), Partial thromboplastin time (APPT), Prothrombin Time Test and INR (PT/INR), Serum alkaline phosphatases (SALP), Bilirubin-direct (DBIL), Bilirubin-total (TBIL), Serum gamma-glutamyl transferase (SGGT), Serum aspartate aminotransferase (AST), Serum alanine aminotransferases (ALT).
Fig. 1Schematic representation of possible microenvironment at blood-brain barrier in (A) normal individual, (B) Malaria and COVID-19 positive individual. Individual suffering from COVID-19 and malaria experience double pathogen burden. In severe condition, the cytokine storm is generated from immune cells as an impact of COVID-19 which further causes endothelial activation. Plasmodium infected RBCs can attach to endothelial cells and also cause the endothelial activation. As a consequence of this, and exaggerated host response the cell surface receptor expression of endothelial cells can increase. Ultimately, the excessive numbers of Plasmodium infected and uninfected RBCs get adhered to the endothelial wall for infected RBC sequestration. Endothelial cells further can modulate the nearby cells like astrocytes to cause their activation in response to insult at blood-brain barrier. This could facilitate increased barrier permeability, leukocyte extravasation and severe inflammation at site. The overall scenario may aid up the pathogenesis of cerebral malaria.