Association Between Average Plasma Potassium Levels and 30-day Mortality During Hospitalization in Patients with COVID-19 in Wuhan, China

Liu, Shengcong; Zhang, Long; Weng, Haoyu; Yang, Fan; Jin, Han; Fan, Fangfang; Zheng, Xizi; Yang, Haozhe; Li, Haichao; Zhang, Yan; Li, Jian Ping

doi:10.7150/ijms.50965

Cited by 26 publications

(27 citation statements)

References 21 publications

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“…Our study also highlighted serum potassium level as an important predictor for mortality. This finding has been reported in the literature by two previous studies to our knowledge 23,24 and one study has reported the high prevalence of hypokalemia among patients with COVID-19 25 . Potassium derangement is independently associated with increased mortality in ICU patients 26,27 .…”

Section: Discussionsupporting

confidence: 85%

Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19

et al. 2021

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As predicting the trajectory of COVID-19 is challenging, machine learning models could assist physicians in identifying high-risk individuals. This study compares the performance of 18 machine learning algorithms for predicting ICU admission and mortality among COVID-19 patients. Using COVID-19 patient data from the Mass General Brigham (MGB) Healthcare database, we developed and internally validated models using patients presenting to the Emergency Department (ED) between March-April 2020 (n = 3597) and further validated them using temporally distinct individuals who presented to the ED between May-August 2020 (n = 1711). We show that ensemble-based models perform better than other model types at predicting both 5-day ICU admission and 28-day mortality from COVID-19. CRP, LDH, and O2 saturation were important for ICU admission models whereas eGFR <60 ml/min/1.73 m2, and neutrophil and lymphocyte percentages were the most important variables for predicting mortality. Implementing such models could help in clinical decision-making for future infectious disease outbreaks including COVID-19.

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Section: Discussionsupporting

confidence: 85%

Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19

et al. 2021

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“…In our study demographic characteristics of the study subjects studied showed that males were higher as compared to females which was similar to 51.5% of patients were male in study conducted by Liu et al 10 Similar study was done by Mousavi-Nasab et al where 57.1% were males. 9 Subjects taken were aged above 65 years, 80 (30.2%) followed by age group of 36 to 45 years, 51 (19.2%) with average age of 58.70±15.…”

Section: Discussionsupporting

confidence: 88%

“…And also there is no statistically significant hypokalemia between hypokalemia with SARI severe and SARI moderate cases. Similar study done by Liu et al showed patients with severe COVID-19 median baseline K+ level was 4.4 10.…”

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confidence: 80%

Study of hypokalemia and correlation with severity of disease in patients with COVID-19 positive severe acute respiratory illness and COVID-19 negative severe acute respiratory illness

et al. 2021

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Background: Although the coronavirus disease-2019 (COVID-19) pandemic is creating a major global health crisis, the risk factors for mortality and the detailed clinical course of disease has not yet established. Clinical spectrum of the disease varies from mild symptoms to ARDS. The main objective of this study was to determine hypokalemia and correlation of severity of disease with hypokalemia in patients with COVID-19 positive SARI (severe acute respiratory illness) and COVID-19 negative SARI patients.Methods: The study was a cross-sectional study conducted on 265 SARI patients who were admitted in hospitals attached to BMCRI from April 2019 to December 2019. History was taken, general and systemic examination was done. Patients were categorized and selected patients with moderate and severe illness. RT-PCR for COVID-19 patients done using throat and nasal swab. Potassium levels were estimated and correlated with severity of illness in patients with COVID-19 positive and COVID-19 negative status.Results: The study included 265 SARI patients, of which 135 were COVID-19 positive patients and 130 were COVID-19 negative. Patients categorized into moderate and severe SARI. Mean age of subjects with COVD-19 positive (severe) was higher, 58.70±15.598 followed by COVID-19 positive (moderate), 55.13±14.480. About 30% (N=90) belonged to severe SARI group, Chi square test showed statistical significant association with respect to age. In this study there was no statistically significant hypokalemia found between COVID-19 positive SARI patients (N=20, 14.81%) and COVID-19 negative SARI patients (N=17, 13.07%). However hypokalemia COVID-19 positive SARI patients 14.81% (N=20) and COVID-19 negative SARI patients 13.07% (N=17). And also there is no statistically significant hypokalemia between SARI severe and SARI moderate cases.Conclusions: However in this study there is no statistically significant hypokalemia found between COVID-19 positive SARI patients and COVID-19 negative SARI patients. And also there is not statistically significant hypokalemia between SARI severe and SARI moderate cases. Hypokalemia is found in both in both COVID-19 positive SARI patients and COVID-19 negative SARI patients and relatively more in COVID-19 positive patients. Hypokalemia is one of the treatable condition and early detection and treatment reduces mortality.

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“…[1][2][3] Several studies have found that hyperkalemia, hypokalemia, hyponatremia and hypocalcemia were associated with increased mortality rates in COVID-19 patients. [4][5][6][7][8][9][10] Compared with those who had normal levels of electrolytes, patients who developed electrolyte imbalances such as hyponatremia, hypokalemia, hypochloremia and hypocalcemia usually had more severe disease and were more likely to receive mechanical ventilation. 2,[7][8][9][11][12][13] However, despite its being a widely observed electrolyte disturbance in hospitalized patients, hypophosphatemia was not investigated in COVID-19 patients.…”

Section: Introductionmentioning

confidence: 99%

Hypophosphatemia at Admission is Associated with Increased Mortality in COVID-19 Patients

Wang¹,

He²,

Kang³

2021

IJGM

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Background: Electrolyte disturbances are commonly observed in patients with coronavirus disease 2019 and associated with outcome in these patients. Our study was designed to examine whether hypophosphatemia is associated with mortality in COVID-19 patients. Methods: Patients diagnosed with COVID-19 and hospitalized in Renmin Hospital of Wuhan University between January 30 and February 24, 2020 were included in this study. Patients were divided into two groups, a hypophosphatemia group and a nonhypophosphatemia group, based on a serum phosphate level of 0.8 mmol/L. Logistic regression was performed to analyze the relationship between hypophosphatemia and mortality. A locally weighted scatterplot smoothing (LOWESS) curve was plotted to show the detailed association between mortality rate and serum phosphate level. A Kaplan-Meier survival curve was drawn to compare the difference in cumulative survival between the two groups.Results: Hypophosphatemia at admission occurred in 33 patients, with an incidence of 7.6%. The hypophosphatemia group had a significantly higher incidence of respiratory failure (54.5% vs 32.6%, p=0.013) and mortality (57.6% vs 15.2%, p<0.001). Multivariate logistic regression indicated that age (OR=1.059, p<0.001), oxygen saturation (OR=0.733, p<0.001), white blood cells (OR=1.428, p<0.001), lymphocytes (OR=0.075, p<0.001) and hypophosphatemia (OR=3.636, p=0.015) were independently associated with mortality in the included patients. The hypophosphatemia group had significantly shorter survival than the non-hypophosphatemia group (p<0.001). Conclusion:Hypophosphatemia at admission is associated with increased mortality in COVID-19 patients. More attention and medical care should be given to COVID-19 patients with hypophosphatemia at admission.

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Association Between Average Plasma Potassium Levels and 30-day Mortality During Hospitalization in Patients with COVID-19 in Wuhan, China

Cited by 26 publications

References 21 publications

Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19

Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19

Study of hypokalemia and correlation with severity of disease in patients with COVID-19 positive severe acute respiratory illness and COVID-19 negative severe acute respiratory illness

Hypophosphatemia at Admission is Associated with Increased Mortality in COVID-19 Patients

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