The impact of glycemic variability on length of stay and mortality in diabetic patients admitted with community-acquired pneumonia or chronic obstructive pulmonary disease

Diabetes-inducing effects of bronchial asthma

BACKGROUND

The relationship between diabetes mellitus (DM) and asthma is complex and can impact disease trajectories.

AIM

To explore the bidirectional influences between the two conditions on clinical outcomes and disease control.

METHODS

We systematically reviewed the literature on the relationship between DM and asthma, focusing on their impacts, mechanisms, and therapeutic implications. Various studies were assessed, which investigated the effect of glycemic control on asthma outcomes, lung function, and exacerbations. The study highlighted the role of specific diabetes medications in managing asthma.

RESULTS

The results showed that poor glycemic control in diabetes can exacerbate asthma, increase hospitalizations, and reduce lung function. Conversely, severe asthma, especially in obese individuals, can complicate diabetes management and make glycemic control more difficult. The diabetes-associated mechanisms, such as inflammation, microangiopathy, and oxidative stress, can exacerbate asthma and decrease lung function. Some diabetes medications exhibit anti-inflammatory effects that show promise in mitigating asthma exacerbations.

CONCLUSION

The complex interrelationship between diabetes and asthma suggests bidirectional influences that affect disease course and outcomes. Inflammation and microvascular complications associated with diabetes may worsen asthma outcomes, while asthma severity, especially in obese individuals, complicates diabetes control. However, the current research has limitations, and more diverse longitudinal studies are required to establish causal relationships and identify effective treatment strategies for individuals with both conditions.

A Review on Risk Factors, Traditional Diagnostic Techniques, and Biomarkers for Pneumonia Prognostication and Management in Diabetic Patients

People of all ages can contract pneumonia, and it can cause mild to severe disease and even death. In addition to being a major cause of death for elderly people and those with prior medical conditions such as diabetes, it isthe world's biggest infectious cause of death for children. Diabetes mellitus is a metabolic condition with a high glucose level and is a leading cause of lower limb amputation, heart attacks, strokes, blindness, and renal failure. Hyperglycemia is known to impair neutrophil activity, damage antioxidant status, and weaken the humoral immune system. Therefore, diabetic patients are more susceptible to pneumonia than people without diabetes and linked fatalities. The absence of quick, precise, simple, and affordable ways to identify the etiologic agents of community-acquired pneumonia has made diagnostic studies' usefulness contentious. Improvements in biological markers and molecular testing techniques have significantly increased the ability to diagnose pneumonia and other related respiratory infections. Identifying the risk factors for developing severe pneumonia and early testing in diabetic patients might lead to a significant decrease in the mortality of diabetic patients with pneumonia. In this regard, various risk factors, traditional testing techniques, and pathomechanisms are discussed in this review. Further, biomarkers and next-generation sequencing are briefly summarized. Finding biomarkers with the ability to distinguish between bacterial and viral pneumonia could be crucial because identifying the precise pathogen would stop the unnecessary use of antibiotics and effectively save the patient's life.

Hyperglycemia in Hospital: An Independent Marker of Infection, Acute Kidney Injury, and Stroke for Hospital Inpatients

CONTEXT

Hyperglycemia in hospital inpatients without pre-existing diabetes is associated with increased mortality. However, the independent contribution of hyperglycemia to health care-associated infection (HAI), acute kidney injury (AKI), and stroke is unclear.

OBJECTIVE

To investigate the relationship between hyperglycemia and adverse clinical outcomes in hospital for patients with and without diabetes.

METHODS

Diabetes IN-hospital: Glucose and Outcomes (DINGO) was a 26-week (October 2019-March 2020) prospective cohort study. Clinical and glucose data were collected up to the 14th day of admission. Primary stratification was by hyperglycemia, defined as ≥2 random capillary blood glucose (BG) measurements ≥11.1 mmol/L (≥200 mg/dL). Propensity weighting for 9 clinical characteristics was performed to allow interrogation of causality. To maintain the positivity assumption, patients with HbA1c >12.0% were excluded and prehospital treatment not adjusted for. The setting was the Royal Melbourne Hospital, a quaternary referral hospital in Melbourne, Australia. Admissions with at least 2 capillary glucose values and length of stay >24 hours were eligible, with half randomly sampled. Outcome measures were HAI, AKI, stroke, and mortality.

RESULTS

Of 2558 included admissions, 1147 (45%) experienced hyperglycemia in hospital. Following propensity-weighting and adjustment, hyperglycemia in hospital was found to, independently of 9 covariables, contribute an increased risk of in-hospital HAI (130 [11.3%] vs 100 [7.1%], adjusted odds ratio [aOR] 1.03, 95% CI 1.01-1.05, P = .003), AKI (120 [10.5%] vs 59 [4.2%], aOR 1.07, 95% CI 1.05-1.09, P < .001), and stroke (10 [0.9%] vs 1 [0.1%], aOR 1.05, 95% CI 1.04-1.06, P < .001).

CONCLUSION

In hospital inpatients (HbA1c ≤12.0%), irrespective of diabetes status and prehospital glycemia, hyperglycemia increases the risk of in-hospital HAI, AKI, and stroke compared with those not experiencing hyperglycemia.

Derived Time in Range and Other Metrics of Poor Glycemic Control Associated With Adverse Hospital Outcomes in Patients With Diabetes Mellitus Admitted to Non-ICU Wards at a Tertiary-Level Hospital in Colombia: A Cross-Sectional Study

Aim: This study is aimed at assessing the prevalence of poor glycemic control using different metrics and its association with in-hospital adverse outcomes. Methods: This cross-sectional study was conducted in diabetic patients admitted to a third-level hospital in Colombia between January and July 2022. Poor glycemic control was determined using capillary glucose metrics, including mean glucose values outside the target range, derived time in range (dTIR) (100-180 mg/dL) < 70%, coefficient of variation (CV > 36%), and hypoglycemia (<70 mg/dL). Multiple regression models were adjusted for hospital outcomes based on glycemic control, as well as other sociodemographic and clinical covariates. Results: A total of 330 Hispanic patients were included. A total of 27.6% had mean glucose measurements outside the target range, 33% had a high CV, 64.8% had low dTIR, and 28.8% experienced hypoglycemia. The in-hospital mortality rate was 8.8%. An admission HbA1c level greater than 7% was linked to an increased mortality risk (p = 0.016), as well as a higher average of glucometer readings (186 mg/dL vs. 143 mg/dL; p < 0.001). A lower average of dTIR (41.0% vs. 60.0%; p < 0.001) was also associated with a higher mortality risk. Glycemic variability was correlated with an increased risk of mortality, hypoglycemia, delirium, and length of hospital stay (LOS). Conclusion: A significant number of hospitalized diabetic patients exhibit poor glycemic control, which has been found to be associated with adverse outcomes, including increased mortality. Metrics like dTIR and glycemic variability should be considered as targets for glycemic control, highlighting the need for enhanced management strategies.

Association between glucose levels at admission and outcomes of pneumonia: a systematic review and meta-analysis

BACKGROUND

Elevated blood glucose at hospital admission is frequently observed and has been associated with adverse outcomes in various patient populations. This meta-analysis sought to consolidate existing evidence to assess the association between elevated blood glucose at admission and clinical outcomes amongst pneumonia patients.

METHODS

We searched PubMed, Medline, Cochrane library, Web of Science (WoS), and Scopus databases for studies, published up to 31 August 2023, and reporting on the clinical outcomes and the blood glucose levels at admission. Data were extracted by two independent reviewers. Random-effects meta-analyses were used to pool odds ratios (ORs) with 95% confidence intervals (CI) for dichotomous outcomes and weighted mean differences (WMDs) for continuous outcomes.

RESULTS

A total of 23 studies with 34,000 participants were included. Elevated blood glucose at admission was significantly associated with increased short-term (pooled OR: 2.67; 95%CI: 1.73-4.12) and long-term mortality (pooled OR: 1.70; 95%CI: 1.20-2.42). Patients with raised glucose levels were more likely to require ICU admission (pooled OR: 1.86; 95%CI: 1.31-2.64). Trends also suggested increased risks for hospital readmission and mechanical ventilation, though these were not statistically significant. Elevated blood glucose was linked with approximately 0.72 days longer duration of hospital stay.

CONCLUSION

Elevated blood glucose level at the time of hospital admission is associated with several adverse clinical outcomes, especially mortality, in patients with pneumonia. These findings underscore the importance of recognizing hyperglycemia as significant prognostic marker in pneumonia patients. Further research is needed to determine whether targeted interventions to control glucose levels can improve these outcomes.

Association of hypoglycaemia with the risks of arrhythmia and mortality in individuals with diabetes - a systematic review and meta-analysis

Background

Hypoglycaemia has been linked to an increased risk of cardiac arrhythmias by causing autonomic and metabolic alterations, which may be associated with detrimental outcomes in individuals with diabetes(IWD), such as cardiovascular diseases (CVDs) and mortality, especially in multimorbid or frail people. However, such relationships in this population have not been thoroughly investigated. For this reason, we conducted a systematic review and meta-analysis.

Methods

Relevant papers published on PubMed, Embase, Cochrane, Web of Knowledge, Scopus, and CINHAL complete from inception to December 22, 2022 were routinely searched without regard for language. All of the selected articles included odds ratio, hazard ratio, or relative risk statistics, as well as data for estimating the connection of hypoglycaemia with cardiac arrhythmia, CVD-induced death, or total death in IWD. Regardless of the heterogeneity assessed by the I2 statistic, pooled relative risks (RRs) and 95% confidence intervals (CI) were obtained using random-effects models.

Results

After deleting duplicates and closely evaluating all screened citations, we chose 60 studies with totally 5,960,224 participants for this analysis. Fourteen studies were included in the arrhythmia risk analysis, and 50 in the analysis of all-cause mortality. Hypoglycaemic patients had significantly higher risks of arrhythmia occurrence (RR 1.42, 95%CI 1.21-1.68), CVD-induced death (RR 1.59, 95% CI 1.24-2.04), and all-cause mortality (RR 1.68, 95% CI 1.49-1.90) compared to euglycaemic patients with significant heterogeneity.

Conclusion

Hypoglycaemic individuals are more susceptible to develop cardiac arrhythmias and die, but evidence of potential causal linkages beyond statistical associations must await proof by additional specifically well planned research that controls for all potential remaining confounding factors.

Glycemic variability assessed by continuous glucose monitoring in hospitalized patients with community-acquired pneumonia

Background

Glycemic variability (GV) has only been sparsely studied in patients with community-acquired pneumonia (CAP). This study aimed to quantify in-hospital GV in CAP patients, including determining the impact of type 2 diabetes mellitus (T2DM) and glucocorticoid (GC) treatment on GV.

Methods

This is a prospective cohort study of CAP patients (N = 40) with or without T2DM and treated or not with GCs. The primary endpoint was GV measured as glucose standard deviation (SD), coefficient of variation (CV), and postprandial glucose excursions (PPGE) based on continuous glucose monitoring (CGM). Analysis of glucose data was split into daytime and nighttime when possible.

Results

Patients included had a mean age of 74 (range 55 to 91) years. SD (95%CI) increased by a factor of 1.93 (1.40 to 2.66) and 2.29 (1.38 to 3.81) in patients with T2DM and not treated with GCs during the daytime and the nighttime, respectively (both P < 0.01), and by a factor of 1.42 (1.04 to 1.97) in patients treated with GCs but without T2DM during the daytime (P = 0.031) compared to patients without T2DM and not treated with GCs. CV (95%CI) increased by 5.1 (0.0 to 10.1) and 8.1 (1.0 to 15.2) percentage points during the daytime and the nighttime, respectively, in patients with T2DM and not treated with GCs compared to patients without T2DM and not treated with GCs (P = 0.046 and P = 0.026, respectively). PPGE (95% CI) increased during lunch by 2.5 (0.7 to 4.3) mmol/L (45 (13 to 77) mg/dL) in patients with T2DM and treated with GCs compared to patients without T2DM and not treated with GCs (P = 0.018).

Conclusions

CAP patients receiving GCs, especially those with T2DM, are at great risk of developing high GV and therefore require clinical attention to mitigate GV. This applies particularly during the daytime. Results support the 1 to 2-h post-lunch screening procedure for glucocorticoid-induced hyperglycemia in patients without diabetes. SD was positively correlated with hospital length of stay.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12890-022-01874-7.

Fasting Glucose Variability as a Risk Indicator for End-Stage Kidney Disease in Patients with Diabetes: A Nationwide Population-Based Study

Given the fact that diabetes remains a leading cause of end-stage kidney disease (ESKD), multi-aspect approaches anticipating the risk for ESKD and timely correction are crucial. We investigated whether fasting glucose variability (FGV) could anticipate the development of ESKD and identify the population prone to the harmful effects of GV. We included 777,192 Koreans with diabetes who had undergone health examinations more than three times in 2005-2010. We evaluated the risk of the first diagnosis of ESKD until 2017, according to the quartile of variability independent of the mean (VIM) of FG using multivariate-adjusted Cox proportional hazards analyses. During the 8-year follow-up, a total of 7290 incidents of ESKD were found. Subjects in the FG VIM quartile 4 had a 27% higher risk for ESKD compared to quartile 1, with adjustment for cardiovascular risk factors and the characteristics of diabetes. This effect was more distinct in patients aged < 65 years; those with a long duration of diabetes; the presence of hypertension or dyslipidemia; and prescribed angiotensin-converting enzyme inhibitors, metformin, sulfonylurea, α-glucosidase inhibitors, and insulin. In contrast, the relationship between baseline FG status and ESKD risk showed a U-shaped association. FGV is an independent risk factor for kidney failure regardless of FG.

Hyperglycemia at admission, comorbidities, and in-hospital mortality in elderly patients hospitalized in internal medicine wards: data from the RePoSI Registry

AIMS

The association between hyperglycemia at hospital admission and relevant short- and long-term outcomes in elderly population is known. We assessed the effects on mortality of hyperglycemia, disability, and multimorbidity at admission in internal medicine ward in patients aged ≥ 65 years.

METHODS

Data were collected from an active register of 102 internal medicine and geriatric wards in Italy (RePoSi project). Patients were recruited during four index weeks of a year. Socio-demographic data, reason for hospitalization, diagnoses, treatment, severity and comorbidity indexes (Cumulative Illness rating Scale CIRS-SI and CIRS-CI), renal function, functional (Barthel Index), and cognitive status (Short Blessed Test) and mood disorders (Geriatric Depression Scale) were recorded. Mortality rates were assessed in hospital 3 and 12 months after discharge.

RESULTS

Of the 4714 elderly patients hospitalized, 361 had a glycemia level ≥ 250 mg/dL at admission. Compared to subjects with lower glycemia level, patients with glycemia ≥ 250 mg/dL showed higher rates of male sex, smoke and class III obesity. These patients had a significantly lower Barthel Index (p = 0.0249), higher CIRS-SI and CIRS-CI scores (p = 0.0025 and p = 0.0013, respectively), and took more drugs. In-hospital mortality rate was 9.2% and 5.1% in subjects with glycemia ≥ 250 and < 250 mg/dL, respectively (p = 0.0010). Regression analysis showed a strong association between in-hospital death and glycemia ≥ 250 mg/dL (OR 2.07; [95% CI 1.34-3.19]), Barthel Index ≤ 40 (3.28[2.44-4.42]), CIRS-SI (1.87[1.27-2.77]), and male sex (1.54[1.16-2.03]).

CONCLUSIONS

The stronger predictors of in-hospital mortality for older patients admitted in general wards were glycemia level ≥ 250 mg/dL, Barthel Index ≤ 40, CIRS-SI, and male sex.

Characteristics and outcomes of diabetic patients with acute exacerbation of COPD

Rationale aims and objectives

Patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) and diabetes mellitus form a special population due to an increased risk of hyperglycemia from the use of corticosteroids. There is limited data regarding specific outcomes in diabetic patients with AECOPD.

Methods

A retrospective data analysis of adult patients admitted to North Florida Division of the Hospital Corporation of America (HCA Healthcare) with a primary or secondary diagnosis of AECOPD from January 1, 2018, to December 31, 2018. We excluded patients who needed intensive care unit (ICU) care on day 0. Outcomes assessed included length of stay, mortality, and need for ICU transfer after 48 h from admission. Characteristics included age, sex, and race, comorbidities such as diabetes mellitus, chronic kidney disease, acute kidney injury, congestive heart failure, and anemia were analyzed. Comparisons were analyzed via binary and multivariate logistic regression models.

Results

A total of 3788 patients admitted for AECOPD were included; amongst them, 1356 patients (~36%) had diabetes mellitus. This subset of patients had higher rates of comorbidities. A significant portion of diabetic patients (72%) received intravenous rather than oral steroids, similar to non-diabetic patients. In addition, diabetic patients were more likely to develop acute kidney injury (14.2% vs 8.0%, p < 0.004) and decompensated heart failure (9.2% vs 4.6%, p < 0.001). Diabetic patients had higher length of stay and increased need for ICU transfer. However, diabetes itself did not independently affect length of stay (CI -0.028, 0.479, p = 0.081) when adjusted to comorbidities and patient's characteristics. Moreover, diabetes was independently associated with an increased need for transfer to ICU (Odds ratio 1.9, p = 0.031). The oral route of steroid use was associated with decreased LOS (β coefficient - 0.9, p < 0.001).

Conclusion

Diabetes mellitus is independently associated with increased ICU transfers amongst patients hospitalized with AECOPD. The use of oral steroids rather than intravenous steroids was independently associated with decreased length of stay in diabetic and non-diabetic patients. Despite no difference in intravenous vs. oral corticosteroids demonstrated in previous COPD trials, a significant portion of diabetic patients continue to receive intravenous corticosteroids. Further investigation is required to explore these findings.

Association between Asthma and Type 2 Diabetes Mellitus: Mechanisms and Impact on Asthma Control-A Literature Review

The study aimed to analyze the scientific production on the association between asthma and type 2 diabetes mellitus (T2DM) in adults, the mechanisms that explain this association, and its impact on asthma control. A literature review of scientific articles indexed in the MEDLINE/PUBMED, BVS, CINAHL, Cochrane Library, and Web of Science databases was carried out, considering publications from January 2009 to December 2019, using the following descriptors: "asthma", "type 2 diabetes", "adult," and "association". Of 962 articles found, 18 were included because they met the eligibility criteria. It is suggested that the association between asthma and T2DM is caused by low-grade systemic inflammation (7 articles) or the use of corticosteroids (7 articles). It is noticed that there is a limited scientific production regarding the consequences of this association for the control of asthma (5 articles). It is concluded that asthma and T2DM are two common chronic conditions of increasing prevalence and that often coexist in the same patient. It is suggested that this coexistence worsens asthma control. Therefore, the study may support public policies and clinical health practices that value the approach of comorbidities associated with asthma such as T2DM, in order to minimize additional health risks and reduce the quality of life.

Impact of long-term glucose variability on coronary atherosclerosis progression in patients with type 2 diabetes: a 2.3 year follow-up study

Background

Glycemic variability (GV) confers a risk of cardiovascular events. In this study, we aimed to investigate whether long-term GV has an impact on coronary atherosclerosis progression in patients with type 2 diabetes mellitus (T2DM).

Methods

A total of 396 patients with T2DM who had coronary computed tomography angiography and laboratory data available at baseline and for follow-up evaluations [median 2.3 (1.8–3.1) years] were included. Fasting plasma glucose (FPG) was measured every 1–3 months, and HbA1c was measured quarterly. The coefficient of variation (CV) of HbA1c and FPG were calculated as measures of GV. Quantitative assessment of coronary plaques was performed by measuring the annual change and progression rate of total plaque volume (TPV). Significant progression was defined as annual TPV progression ≥ 15%. Multivariable regression analyses were used to assess the effects of GV on atherosclerosis progression.

Results

In the 396 patients, the annual change in TPV was 12.35 ± 14.23 mm³, and annual progression rate was 13.36 ± 12.69%. There were 143 (36.11%) patients with significant progression, and they had a significantly higher CV-HbA1c (P < 0.001) and CV-FPG (P < 0.001) than those without significant progression. In multivariable regression analyses, both CV-HbA1c and CV-FPG were independent predictors of annual change in TPV [CV-HbA1c: β = 0.241 (0.019–0.462), P = 0.034; CV-FPG_: β = 0.265 (0.060–0.465), P = 0.012], annual TPV progression [CV-HbA1c: β = 0.214 (0.023–0.405), P = 0.029; CV-FPG_: β = 0.218 (0.037–0.399), P = 0.019], and significant atherosclerosis progression [CV-HbA1c: odds ratio [OR] = 1.367 (1.149–1.650), P = 0.010; CV-FPG_: OR = 1.321 (1.127–1.634), P = 0.013].

Conclusions

Long-term GV is associated with accelerated progression of coronary atherosclerosis independent of conventional risk factors in patients with T2DM.

Trial registration ClinicalTrials.gov (NCT02587741), October 27, 2015; retrospectively registered

Glucose variability and the risks of stroke, myocardial infarction, and all-cause mortality in individuals with diabetes: retrospective cohort study

BACKGROUND

Previous research regarding long-term glucose variability over several years which is an emerging indicator of glycemic control in diabetes showed several limitations. We investigated whether variability in long-term fasting plasma glucose (FG) can predict the development of stroke, myocardial infarction (MI), and all-cause mortality in patients with diabetes.

METHODS

This is a retrospective cohort study using the data provided by the Korean National Health Insurance Corporation. A total of 624,237 Koreans ≥ 20 years old with diabetes who had undergone health examinations at least twice from 2005 to 2008 and simultaneously more than once from 2009 to 2010 (baseline) without previous histories of stroke or MI. As a parameter of variability of FG, variability independent of mean (VIM) was calculated using FG levels measured at least three times during the 5 years until the baseline. Study endpoints were incident stroke, MI, and all-cause mortality through December 31, 2017.

RESULTS

During follow-up, 25,038 cases of stroke, 15,832 cases of MI, and 44,716 deaths were identified. As the quartile of FG VIM increased, the risk of clinical outcomes serially increased after adjustment for confounding factors including duration and medications of diabetes and the mean FG. Adjusted hazard ratios (95% confidence intervals) of FG VIM quartile 4 compared with quartile 1 were 1.20 (1.16-1.24), 1.20 (1.15-1.25), and 1.32 (1.29-1.36) for stroke, MI and all-cause mortality, respectively. The impact of FG variability was higher in the elderly and those with a longer duration of diabetes and lower FG levels.

CONCLUSIONS

In diabetes, long-term glucose variability showed a dose-response relationship with the risk of stroke, MI, and all-cause mortality in this nationwide observational study.

How may we improve clinical outcomes for patients hospitalized with acute exacerbations of chronic obstructive pulmonary disease? A narrative review about possible therapeutic and preventive strategies

Introduction: In a subset of chronic obstructive pulmonary disease (COPD)patients the course of the disease is complicated by a severe acute exacerbations (AECOPD) that may require hospitalization, at which time negative outcomes may occur up to 30 days after discharge. Several predictors of negative outcomes have been documented.Areas covered: We considered five negative outcomes related to patients hospitalized with AECOPD: treatment failure, noninvasive mechanical ventilation (NIMV) failure, prolonged length of hospital stay (LHS), short-term mortality (≤ 90 days from admission and including the in-hospital mortality), and early readmission (≤30 days from discharge). Possible therapeutic and preventive strategies to improve these outcomes are outlined and discussed.Expert opinion: Several strategies have been proposed to improve outcomes. Among these, steroid or antibiotic use may reduce the risks of treatment failure or of prolonged hospital stay. We note that operator-related factors may influence the outcome of NIMV. However, little has been documented about the short-term mortality or early readmission rates. In general, few interventions consistently improve negative outcomes and prognosis of AECOPD.

Impact of post-procedural glycemic variability on cardiovascular morbidity and mortality after transcatheter aortic valve implantation: a post hoc cohort analysis

Background

Glycemic variability is associated with worse outcomes after cardiac surgery, but the prognosis value of early glycemic variability after transcatheter aortic valve implantation is not known. This study was therefore designed to analyze the prognosis significance of post-procedural glycemic variability within 30 days after transcatheter aortic valve implantation.

Methods

A post hoc analysis of patients from our center included in the FRANCE and FRANCE-2 registries was conducted. Post-procedural glycemic variability was assessed by calculating the mean daily δ blood glucose during the first 2 days after transcatheter aortic valve implantation. Major complications within 30 days were death, stroke, myocardial infarction, acute heart failure, and life-threatening cardiac arrhythmias.

Results

We analyzed 160 patients (age (median [interquartile] = 84 [80–88] years; diabetes mellitus (n) = 41 (26%) patients; logistic Euroscore = 20 [12–32]). The median value of mean daily δ blood glucose was 4.3 mmol l⁻¹. The rate of major complications within 30 days after procedure among patients with the lowest quartile of glycemic variability was 12%, increasing from 12 to 26%, and 39% in the second, third, and fourth quartiles, respectively. In multivariate analysis, glycemic variability was independently associated with an increased risk of major complications within 30 days after the procedure (odds ratio [95% CI] = 1.83 [1.19–2.83]; p = 0.006).

Conclusions

This study showed that post-procedural glycemic variability was associated with an increased risk of major complications within 30 days after transcatheter aortic valve implantation.

Trial registration Clinical trial registration number https://www.clinicaltrials.gov/; identifier: NCT02726958; date: April 4th, 2016