| Literature DB >> 34077995 |
Maryam Noori1, Seyed A Nejadghaderi2,3, Mark J M Sullman4,5, Kristin Carson-Chahhoud6,7, Ali-Asghar Kolahi8, Saeid Safiri9,10.
Abstract
Coronavirus disease (Covid-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is currently the largest health crisis facing most countries. Several factors have been linked with a poor prognosis for this disease, including demographic factors, pre-existing comorbidities and laboratory parameters such as white blood cell count, D-dimer, C-reactive protein, albumin, lactate dehydrogenase, creatinine and electrolytes. Electrolyte abnormalities particularly potassium disorders are common among Covid-19 patients. Based on our pooled analysis, hypokalemia and hyperkalemia occur in 24.3% and 4.15% of Covid-19 patients, respectively. Potassium level deviation from the normal range may increase the chances of unfavorable outcomes and even death. Therefore, this article reviewed the epidemiology of potassium disorders and explained how hypokalemia and hyperkalemia are capable of deteriorating cardiac outcomes and the prognosis of Covid-19 for infected patients. The article finishes by highlighting some important considerations in the management of hypokalemia and hyperkalemia in these patients.Entities:
Keywords: Covid-19; SARS-CoV-2; hypokalemia; review; serum potassium
Mesh:
Substances:
Year: 2021 PMID: 34077995 PMCID: PMC8209915 DOI: 10.1002/rmv.2262
Source DB: PubMed Journal: Rev Med Virol ISSN: 1052-9276 Impact factor: 11.043
FIGURE 1Hypokalemia prevalence in Covid‐19 patients. Forest plot showing the prevalence of hypokalemia in Covid‐19 patients. The squares indicate weight of each study in random‐effect model. The vertical dashed line indicates the overall pooled estimate of hypokalemia prevalence and the diamond the 95% confidence interval around that pooled estimate. The forest plot was generated using STATA 15.0 (STATA Corp, LLC, TX)
FIGURE 2Hyperkalemia prevalence in Covid‐19 patients. Forest‐plot showing prevalence of hyperkalemia in Covid‐19 patients. The squares indicate weight of each study in random‐effect model. The vertical dashed line indicates the overall pooled estimate of hyperkalemia prevalence and the diamond the 95% confidence interval around that pooled estimate. The forest plot was generated using STATA 15.0 (STATA Corp, LLC, TX)
Association of serum potassium concentration with Covid‐19 outcomes in recent studies
| Reference | Country | Study design | Total number | Gender | Age | Categorization based on potassium level | Outcomes |
|---|---|---|---|---|---|---|---|
| Chen et al. | China | Retrospective cohort | 175 | 50% female | Mean: 45 (SD: 14) |
Sever hypokalemia (serum potassium <3 mmol/L) ( Mild hypokalemia (serum potassium 3‐3.5 mmol/L) ( Normokalemia ( | (i) Patients with severe hypokalemia had higher body temperature, ECG abnormality, and the need for oxygen administration than the patients with mild hypokalemia ( |
| Moreno‐pérez et al. | Spain | Retrospective cohort | 306 | 42.2% female | Median: 65 (IQR: 51.0–77.0) |
Sever hypokalemia (serum potassium <3 mmol/L) ( Mild hypokalemia (serum potassium 3‐3.5 mmol/L) ( Normokalemia ( | (i) Patients with hypokalemia had higher Charlson comorbidity index ≥3, CURB65 severity score for community‐acquired pneumonia, number of lymphocytes and serum levels of ferritin, IL‐6, D‐dimer, troponin T, and brain natriuretic peptide at baseline ( |
| Islam et al. | Bangladesh | Cross‐sectional | 134 | 34.3% female | Mean: 51.74 (SD: 13.8) |
Sever hypokalemia (serum potassium <3 mmol/L) ( Mild hypokalemia (serum potassium 3‐3.5 mmol/L) ( Normokalemia ( | Grades of hypokalemia was associated with shortness of breath ( |
| Roy et al. | India | Cross‐sectional | 156 | 42.9% female | Mean: 36.3 |
Hypokalemia ( Normokalemia ( Hyperkalemia ( | (i) Approximately 70% of Covid‐19 cases with ARDS were hypokalemic(ii) In total cases, potassium levels showed a significant negative correlation with CRP levels ( |
| Alfano et al. | Italy | Retrospective cohort | 290 | 27.2% female | Mean: 64.8 (SD: 13.8) |
Hypokalemia ( Normokalemia ( | Patients with hypokalemia had higher SOFA score ( |
| Tsiberkin et al. | Russia | Retrospective cohort | 43 | 44.1% female | Median: 56.0 (IQR: 42,0–63,0) |
Hypokalemia ( Normokalemia ( | Patients with hypokalemia had a higher level of CRP ( |
| Nasomsong1 et al. | Thailand | Cross‐sectional | 36 | 39.1% female | Mean: 42.6 (SD: 16.3) |
Hypokalemia ( Normokalemia ( | Fever in the hypokalemia group was higher than the normokalemia group ( |
| Liu et al. | China | Prospective cohort | 136 | 49.9% female | Mean: 62.1 (SD: 14.6) |
Serum potassium <4.0 mmol/L ( Serum potassium ≥4, <4.5 mmol/L ( Serum potassium ≥4.5, <5 ( Serum potassium ≥5 ( | (i) Patients with serum potassium ≥5.0 mmol/L had higher creatinine ( |