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High glucose variability is associated with 2.10 increased risk of all-cause mortality in COVID-19High blood sugar swings linked to higher COVID-19 death risk

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Key Takeaway
Note that high glucose variability is associated with increased all-cause mortality in hospitalized COVID-19 patients.

This meta-analysis synthesized data from 11 datasets involving 77,395 hospitalized adult patients with COVID-19 to evaluate the impact of glucose variability (GV) on outcomes. The analysis found that high GV was associated with a significantly increased risk of all-cause mortality (RR = 2.10; 95% CI: 1.69–2.59).

Subgroup analyses indicated that the association between high GV and mortality was stronger in patients aged 62 years or older (RR = 2.79) compared to those under 62 years of age (RR = 1.78; p for subgroup difference = 0.03). These results suggest that glucose instability may be a more potent indicator of poor outcomes in older populations.

The authors noted limitations including heterogeneous study designs and inconsistent findings across the primary studies included in the analysis. While high GV is associated with increased mortality, it is not established as a cause of death or the sole predictor of mortality. Clinicians may consider glucose variability as a potential prognostic marker for hospitalized COVID-19 patients, particularly those at advanced ages.

When a patient is hospitalized with COVID-19, doctors look for signs that help predict the severity of the illness. New data from over 77,000 patients suggests that how much blood sugar levels jump around matters significantly. This movement is called glucose variability (GV).

Researchers found that patients with high glucose variability faced a much higher risk of death compared to those with more stable levels. This link was even stronger in older patients aged 62 and over, where the risk was notably higher. While the connection was still present in younger patients, it was less pronounced than in the older group.

It is important to remember that this finding shows a link between blood sugar swings and mortality, but it does not prove that the sugar changes cause the death. Because the original studies used different methods, some results were inconsistent. However, these findings suggest that tracking how much blood sugar fluctuates could help doctors identify high-risk patients more quickly.

What this means for you:
Frequent spikes and drops in blood sugar are linked to higher mortality rates in hospitalized COVID-19 patients.

Common questions

What is glucose variability and why does it matter?

Glucose variability refers to how much your blood sugar levels fluctuate over time. In this study of 77,395 patients, high fluctuations were linked to a significantly higher risk of death for those hospitalized with COVID-19. It may help doctors identify which patients are at the highest risk during their stay.

Does this finding affect all patients equally?

The link between high blood sugar swings and mortality was stronger in older patients aged 62 and over. While younger patients also showed an increased risk, the connection was weaker than it was for those in the older age group.

Does this mean high blood sugar causes death?

The study shows a strong link between fluctuating blood sugar and mortality, but it does not prove that the fluctuations cause the death. Because of inconsistent findings in some original studies, these results are used as a marker to help predict outcomes rather than a confirmed cause.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedJun 2026
View Original Abstract ↓
BackgroundGlucose variability (GV) reflects fluctuations in blood glucose and may better capture metabolic instability than static glycemic measures in patients with Coronavirus disease 2019 (COVID-19). However, its association with mortality remains uncertain due to heterogeneous study designs and inconsistent findings. This meta-analysis was performed to evaluate the association between GV and short-term all-cause mortality in adult patients hospitalized with COVID-19.MethodsPubMed, Embase, and Web of Science were systematically searched for longitudinal observational studies reporting the association between GV and mortality in patients hospitalized with COVID-19. Risk ratios (RRs) with 95% confidence intervals (CIs) were pooled using a random-effects model accounting for the possible influence of heterogeneity.ResultsTen cohort studies comprising 11 datasets and 77,395 patients were included, with 8,189 deaths. High GV was associated with a significantly increased risk of all-cause mortality (RR = 2.10, 95% CI: 1.69–2.59; I² = 45%). The association was stronger in studies with a mean age ≥ 62 years (RR = 2.79) compared with < 62 years (RR = 1.78; p for subgroup difference = 0.03). Results were consistent across GV metrics, analytic models, adjustment for diabetes status, and study quality (all p > 0.05). Meta-regression analysis showed that mean age demonstrated a borderline association with the effect estimate (coefficient = 0.020, p = 0.07), explaining a moderate proportion of heterogeneity (adjusted R² = 49.2%).ConclusionsHigher GV is associated with increased short-term mortality in hospitalized patients with COVID-19, supporting its role as a potential prognostic marker.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD420261358246.
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