Assessment on Inpatient Glycaemic Control in General Medical Wards, Putrajaya Hospital.

Background: Inpatient hyperglycaemia is common and associated with poor outcomes such as increased mortality and prolonged hospital stay. This study aimed to determine the prevalence of inpatient hyperglycaemia and glycaemic control in Putrajaya Hospital, Malaysia. Secondary objectives were to compare the length of stay (LOS), 30-day readmission rate, and death between controlled and uncontrolled glycaemic groups. Methods: This cross-sectional study was conducted between 1 July and 31 December 2019 among patients in medical wards who had a blood glucose (BG) level of > 7.8 mmol/L and stayed in the wards for ≥ 24 h. We retrieved information on demographics, diabetes history and BG profiles. The definition of controlled glycaemic status is when ≥ 80% of BG readings were between 4.0 mmol/L and 10.0 mmol/L during the hospital stay. Results: The prevalence of inpatient hyperglycaemia was 55.2%. There were 841 patients who met the eligibility criteria; their mean age was 60 (13.8) years old. Most (79.4%) of the patients were Malay and 53.9% were male. There were 452 (53.7%) patients in the uncontrolled group. They were younger and admitted with more kidney complications compared to those in the controlled group. The median LOS for both groups was 3 (2) days. The uncontrolled group showed a higher percentage of readmission within 30 days (7.5% versus 4.6 %) and death during admission (3.3% versus 1.6 %) (P = 0.100 and P = 0.082). Conclusion: The prevalence of inpatient hyperglycaemia was high. More than half of them had uncontrolled BG. Both groups had a similar average length of stay. The 30-day readmission rate and death during admission were higher in the uncontrolled group, although statistically not significant.

High triglyceride-glucose index and stress hyperglycemia ratio as predictors of adverse cardiac events in patients with coronary chronic total occlusion: a large-scale prospective cohort study.

BACKGROUND: The triglyceride-glucose (TyG) index and the stress hyperglycaemia ratio (SHR) are both positively associated with cardiovascular (CV) risk in patients with coronary heart disease. However, the prognostic value of these two biomarkers has not been well elucidated in patients with chronic total occlusion (CTO). Therefore, this study aims to evaluate the association of the TyG index and the SHR with long-term prognosis in patients with CTO. METHODS: This prospective cohort study consecutively included 2740 angina patients with CTO from January 2017 to December 2018 at Fuwai Hospital. The outcomes are a composite of CV death and target vessel myocardial infarction (TVMI) and major CV cerebrovascular adverse events (MACCEs, including all-cause death, nonfatal MI, ischaemia-driven target vessel revascularization, and stroke). The association between biomarkers and prognosis was analysed by multivariable Cox proportional hazard models, and the predictive value was determined by a receiver-operating characteristic (ROC) curve. RESULTS: During the follow-up with a median time of 3 years, 179 (6.5%) cases of MACCEs and 47 (1.7%) cases of CV death or TVMI were recorded. Patients with a high TyG index (> 9.10) and a high SHR (> 0.87) showed a significantly increased risk of CV death/TVMI (TyG index: HR 4.23, 95% CI 1.58-11.37; SHR: HR 5.14, 95% CI 1.89-13.98) and MACCEs (TyG index: HR 2.47, 95% CI 1.54-3.97; SHR: HR 2.91, 95% CI 1.84-4.60) compared with those with a low Tyg index and a low SHR (TyG < 8.56, SHR < 0.76). The area under the curve (AUC) values were 0.623 (TyG index) and 0.589 (SHR) for CV death/TVMI and 0.659 (TyG index) and 0.624 (SHR) for MACCEs. Furthermore, patients with both a high TyG index and a high SHR showed the highest risk of clinical outcomes among patients with different levels of these two biomarkers, and the AUC for the TyG-SHR combination was larger than the TyG index alone in predicting MACCE risk. CONCLUSIONS: The study revealed that a high TyG index and a high SHR were significantly correlated with poor prognosis in patients with CTO and suggested that these two biomarkers are reliable in predicting long-term prognosis in CTO patients.

Prognostic Value of Stress Hyperglycaemia Ratio in Young Patients with Ischaemic Stroke or Transient Ischaemic Attack.

INTRODUCTION: Stress hyperglycaemia is common in stroke. Recently, the stress hyperglycaemia ratio (SHR) has been proposed as a novel marker for stress hyperglycaemia and found to be associated with adverse outcomes in many diseases. However, data regarding the impact of the SHR on ischaemic stroke, especially in young adults, are limited. Therefore, the aim of this study was to investigate whether the SHR is associated with stroke severity and adverse outcomes in young adults with ischaemic stroke or transient ischaemic attack (TIA). METHODS: We retrospectively recruited patients aged 18-45 years with acute ischaemic stroke or TIA. The SHR was calculated as fasting blood glucose (FBG) divided by glycated haemoglobin. The primary and secondary outcomes were 90-day poor functional outcomes and stroke severity on admission, respectively. Multivariable logistic regression, restricted cubic spline models, and subgroup analysis were performed to validate the relationship between the SHR and ischaemic stroke or TIA in young adults. RESULTS: A total of 687 young adults (mean age 36.9 years) were recruited. Among them, 119 (17.3%) patients had prior diabetes, and 568 (82.7%) did not. The SHR was significantly associated with stroke severity and poor functional outcome. Compared with patients with lower SHR values, patients with higher SHR values were more likely to have moderate-to-severe stroke. The multivariable-adjusted OR (95% CI) was 1.70 (1.21-2.39) after adjusting for all potential confounders excluding FBG and 1.50 (1.03-2.17) after FBG adjustment. The restricted cubic spline showed a J-shaped association between the SHR and moderate-to-severe stroke. Compared with patients with lower SHR values, patients with higher SHR values were more likely to have poor functional outcome at 90-day follow-up. The multivariable-adjusted OR (95% CI) was 1.95 (1.12-3.41) after adjusting for all potential confounders excluding FBG and 1.84 (1.01-3.36) after FBG adjustment. A J-shaped association was found between the SHR and poor functional outcomes at the 90-day follow-up. In the subgroup analysis, SHR was independently associated with more severe stroke (OR, 1.79, 95% CI, 1.18-2.72) and poor functional outcomes (OR, 2.11, 95% CI, 1.32-3.35) in nondiabetic patients but not in diabetic patients in multivariate logistic analysis. Despite this, the interaction effects of prior diabetes on the association between the SHR and stroke severity and poor functional outcomes did not reach statistical significance. CONCLUSION: The SHR is independently related to more severe stroke and an increased risk of poor functional outcomes among young adults with ischaemic stroke or TIA.

New stress-induced hyperglycaemia markers predict prognosis in patients after mechanical thrombectomy.

OBJECTIVE: Stress-induced hyperglycaemia (SIH) is a frequent phenomenon that occurs in patients with acute ischaemic stroke. The aim of this study was to investigate the relationship between SIH and the prognosis of mechanical thrombectomy (MT) patients according to the stress hyperglycemia ratio (SHR) and glycaemic gap (GG) indicators, as well as explore its relationship with haemorrhagic transformation (HT). METHODS: Patients were enrolled from January 2019 to September 2021 in our centre. SHR was calculated as fasting blood glucose divided by the A1c-derived average glucose (ADAG). GG was calculated as fasting blood glucose minus ADAG. Logistic regression was used to analyse SHR, GG with outcome and HT. RESULTS: A total of 423 patients were enrolled in the study. The incidence of SIH was as follows: 191/423 of patients with SHR > 0.89, 169/423 of patients with GG > -0.53. SHR > 0.89 (OR: 2.247, 95% CI: 1.344-3.756, P = 0.002) and GG>-0.53 (OR: 2.305, 95% CI: 1.370-3.879, P = 0.002) were both associated with poor outcomes (modified Rankin Scale > 2) at Day 90 and an increase risk of HT. Additionlly, receiver operating characteristic curves were used to assess the predictive performance of the SHR and GG on outcomes. The area under the curve for SHR to predict poor outcomes was 0.691, with an optimal cut-off value of 0.89. The area under the curve for GG was 0.682, with an optimal cut-off value of -0.53. CONCLUSION: High SHR and high GG are strongly associated with poor 90-day prognosis in MT patients and an increased risk of HT.

Diabetes mellitus, glycaemic control, and severe COVID-19 in the Australian critical care setting: A nested cohort study.

BACKGROUND: Internationally, diabetes mellitus is recognised as a risk factor for severe COVID-19. The relationship between diabetes mellitus and severe COVID-19 has not been reported in the Australian population. OBJECTIVE: The objective of this study was to determine the prevalence of and outcomes for patients with diabetes admitted to Australian intensive care units (ICUs) with COVID-19. METHODS: This is a nested cohort study of four ICUs in Melbourne participating in the Short Period Incidence Study of Severe Acute Respiratory Infection (SPRINT-SARI) Australia project. All adult patients admitted to the ICU with COVID-19 from 20 February 2020 to 27 February 2021 were included. Blood glucose and glycated haemoglobin (HbA1c) data were retrospectively collected. Diabetes was diagnosed from medical history or an HbA1c ≥6.5% (48 mmol/mol). Hospital mortality was assessed using logistic regression. RESULTS: There were 136 patients with median age 58 years [48-68] and median Acute Physiology and Chronic Health Evaluation II (APACHE II) score of 14 [11-19]. Fifty-eight patients had diabetes (43%), 46 patients had stress-induced hyperglycaemia (34%), and 32 patients had normoglycaemia (23%). Patients with diabetes were older, were with higher APACHE II scores, had greater glycaemic variability than patients with normoglycaemia, and had longer hospital length of stay. Overall hospital mortality was 16% (22/136), including nine patients with diabetes, nine patients with stress-induced hyperglycaemia, and two patients with normoglycaemia. CONCLUSION: Diabetes is prevalent in patients admitted to Australian ICUs with severe COVID-19, highlighting the need for prevention strategies in this vulnerable population.

Quantification of stress-induced hyperglycaemia associated with key diagnostic categories using the stress hyperglycaemia ratio.

AIM: Stress-induced hyperglycaemia (SIH) is the acute increase from preadmission glycaemia and is associated with poor outcomes. Early recognition of SIH and subsequent blood glucose (BG) management improves outcomes, but the degree of SIH provoked by distinct diagnostic categories remains unknown. Quantification of SIH is now possible using the stress hyperglycaemia ratio (SHR), which measures the proportional change from preadmission glycaemia, based on haemoglobin A1c (HbA1c ). METHODS: We identified eligible patients for eight medical (n = 892) and eight surgical (n = 347) categories. Maximum BG from the first 24 h of admission for medical, or postoperatively for surgical patients was used to calculate SHR. RESULTS: Analysis of variance indicated differing SHR and BG within both the medical (p < 0.0001 for both) and surgical cohort (p < 0.0001 for both). Diagnostic categories were associated with signature levels of SHR that varied between groups. Medically, SHR was greatest for ST-elevation myocardial infarction (1.22 ± 0.33) and sepsis (1.37 ± 0.43). Surgically, SHR was greatest for colectomy (1.62 ± 0.48) and cardiac surgeries (coronary artery graft 1.56 ± 0.43, aortic valve replacement 1.71 ± 0.33, and mitral valve replacement 1.75 ± 0.34). SHR values remained independent of HbA1c , with no difference for those with HbA1c above or below 6.5% (p > 0.11 for each). BG however was highly dependent on HbA1c , invariably elevated in those with HbA1c  ≥ 6.5% (p < 0.001 for each), and unreliably reflected SIH. CONCLUSION: The acute stress response associated with various medical and surgical categories is associated with signature levels of SIH. Those with higher expected SHR are more likely to benefit from early SIH management, especially major surgery, which induced SIH typically 40% greater than medical cohorts. SHR equally recognised the acute change in BG from baseline across the full HbA1c spectrum while BG did not and poorly reflected SIH.

The stress hyperglycaemia ratio is associated with left ventricular remodelling after first acute ST-segment elevation myocardial infarction.

BACKGROUND: Left ventricular negative remodelling after ST-segment elevation myocardial infarction (STEMI) is considered as the major cause for the poor prognosis. But the predisposing factors and potential mechanisms of left ventricular negative remodelling after STEMI remain not fully understood. The present research mainly assessed the association between the stress hyperglycaemia ratio (SHR) and left ventricular negative remodelling. METHODS: We recruited 127 first-time, anterior, and acute STEMI patients in the present study. All enrolled patients were divided into 2 subgroups equally according to the median value of SHR level (1.191). Echocardiography was conducted within 24 h after admission and 6 months post-STEMI to measure left ventricular ejection fraction (LVEF), left ventricular end-diastolic diameter (LVEDD), and left ventricular end-systolic diameter (LVESD). Changes in echocardiography parameters (δLVEF, δLVEDD, δLVESD) were calculated as LVEF, LVEDD, and LVESD at 6 months after infarction minus baseline LVEF, LVEDD and LVESD, respectively. RESULTS: In the present study, the mean SHR was 1.22 ± 0.25 and there was significant difference in SHR between the 2 subgroups (1.05 (0.95, 1.11) vs 1.39 (1.28, 1.50), p < 0.0001). The global LVEF at 6 months post-STEMI was significantly higher in the low SHR group than the high SHR group (59.37 ± 7.33 vs 54.03 ± 9.64, p = 0.001). Additionally, the global LVEDD (49.84 ± 5.10 vs 51.81 ± 5.60, p = 0.040) and LVESD (33.27 ± 5.03 vs 35.38 ± 6.05, p = 0.035) at 6 months after STEMI were lower in the low SHR group. Most importantly, after adjusting through multivariable linear regression analysis, SHR remained associated with δLVEF (beta = -9.825, 95% CI -15.168 to -4.481, p < 0.0001), δLVEDD (beta = 4.879, 95% CI 1.725 to 8.069, p = 0.003), and δLVESD (beta = 5.079, 95% CI 1.421 to 8.738, p = 0.007). CONCLUSIONS: In the present research, we demonstrated for the first time that SHR is significantly correlated with left ventricular negative remodelling after STEMI.

Pre-operative optimisation of the surgical patient with diagnosed and undiagnosed diabetes: a practical review.

Peri-operative hyperglycaemia, whether the cause is known diabetes, undiagnosed diabetes or stress hyperglycaemia, is a risk factor for harm, increased length of stay and death. There is increasing evidence that peri-operative hyperglycaemia is a modifiable risk factor, and many of the interventions required to improve the outcome of surgery must be instituted before the actual surgical admission. These interventions depend on communication and collaboration within the multidisciplinary team along each stage of the patient journey to ensure that integration of care occurs across the whole of the patient-centred care pathway.

Matrix metalloproteinase-9, 10, and stress hyperglycaemia in acute kidney injury.

BACKGROUND: This study investigated the effect of matrix metalloproteinase (MMP)-9 and 10, and stress hyperglycaemia on the necessity of emergency renal replacement therapy (RRT) and mortality in nondiabetic geriatric patients with acute kidney injury (AKI). MATERIALS AND METHODS: The present observational and longitudinal study included 101 nondiabetic geriatric patients (age >65 years) with AKI. The serum levels of MMP-9 and MMP-10 were evaluated in these patients. Serum glucose level >140 mg/dL at the time of admission was accepted as stress hyperglycaemia. RESULTS: The average age of patients was 81 ± 7.1 years. Stress hyperglycaemia was diagnosed in 34.6% of the cases; the majority of these cases were patients with high-serum urea, CRP, and chronic kidney disease. The average levels of MMP-9 and MMP-10 were found to be 199 ± 38 and 16.5 ± 7.5 ng/mL, respectively. Thirty-one cases (30.6%) mortality during hospitalization and 20 cases (20%) underwent emergency RRT. Multiregression analysis showed the serum urea (P < .001) and stress hyperglycaemia (P = .03) to be independently associated with mortality. Also, serum urea (P = .01), potassium level (P = .03), and MMP-10 levels (P = .03) were independently associated with the necessity of the emergency RRT. The MMP-9 levels exhibited no relation with the necessity of emergency RRT and mortality. CONCLUSION: Stress hyperglycaemia is a common condition among nondiabetic geriatric patients with AKI and is related to mortality. Serum MMP-10 levels serve as an important predictor of the necessity of emergency RRT in these patients.

Admission blood glucose predicts mortality and length of stay in patients admitted through the emergency department.

BACKGROUND: Hyperglycaemia has been associated with adverse outcomes in several different hospital populations. AIM: The aim of this study was to investigate the relationship between admission blood glucose level (BGL) and outcomes in all patients admitted through the emergency department. METHODS: This study was a retrospective observational cohort study from an Australian tertiary referral hospital. Patients admitted in the first week of each month from April to October 2012 had demographic data, co-morbidities, BGL, intensive care unit admission, length of stay and dates of death recorded. Factors associated with outcomes were assessed by multi-level mixed-effects linear regression. RESULTS: Admission BGL was recorded for 601 admissions with no diagnosis of diabetes and for 219 admissions diagnosed with type 2 diabetes (T2DM). In patients with no diagnosis of diabetes, admission BGL was associated with in-hospital and 90-day mortality (P < 0.001). After multivariate analysis, BGL greater than 11.5 mmol/L was significantly associated with increased mortality at 90 days (P < 0.05). In patients with T2DM increased BGL on admission was not associated with in-hospital or 90-day mortality but was associated with length of hospital stay (ß: 0.22 days/mmol/L; 95% confidence interval 0.09-0.35; P < 0.001), although this association was lost on multivariable analysis. In patients with T2DM, increased coefficient of variation of BGL was also positively associated with length of hospital stay in an almost dose-dependent fashion (P < 0.001). CONCLUSION: Admission BGL was independently associated with increased mortality in patients with no diagnosis of diabetes. Glycaemic variability was associated with increased length of hospital stay in patients with T2DM.

Associations of Diabetes and Hyperglycaemia with Extent and Outcomes of Acute Burn Injuries.

BACKGROUND: Severe burns may induce hyperglycaemia in the absence of diabetes, but how glucose trajectories relate to burns outcomes is unclear. AIM: To assess incidence of hyperglycaemia following acute burn injury, and associations with diabetes history and length of stay (LOS). METHODS: Retrospective cohort study of adults admitted with acute burns to tertiary centres. Blood glucose level (BGL), hyperglycaemic episodes (BGL ≥ 11.1 mmol/L) and hyperglycaemic days were recorded. Stress hyperglycaemia was defined as BGL ≥ 11.1 mmol/L without a diabetes history. RESULTS: A total of 30 participants had a diabetes history and 260 did not. Participants with known diabetes had higher mean BGLs (9.7 vs. 9.0 mmol/L, p < 0.001), more hyperglycaemic episodes (28.0 vs. 17.2%, p < 0.001) and hyperglycaemic days (51 vs. 21%, p < 0.001), compared to those without diabetes, despite smaller burns (total body surface area 1.0 vs. 14.8%, p < 0.001). Fourteen participants with stress hyperglycaemia had similar BGLs (at admission 10.3 vs. 11.5 mmol/L; during inpatient stay 9.9 vs. 9.8 mmol/L), more severe burns (15.6% vs. 1.0% TBSA) and longer LOS (18 vs. 7 days, p < 0.001) compared to participants with known diabetes. Extent of burns, having NGT nutrition, age, having inpatient BGL monitoring in the setting of diabetes, or having inpatient BGL monitoring in the absence of diabetes were associated with longer LOS. CONCLUSIONS: In participants with known diabetes, small burn injuries were associated with hyperglycaemia. Stress hyperglycaemia can be triggered by major burn injuries, with early and sustained elevation of BGLs. Further research is warranted to improve inpatient management of BGL in patients with acute burn injury.

Stress hyperglycaemia in hospitalized patients with coronary artery disease and type 2 diabetes risk.

AIMS: (i) To evaluate glucometabolic status of patients without known diabetes hospitalized due to coronary artery disease (CAD), (ii) to assess markers of systemic inflammation determined during admission and to evaluate their relationship with glucometabolic status and (iii) to analyse usefulness of HbA1c determined during admission in patients with CAD to detect abnormal glucose regulation (AGR). MATERIALS & METHODS: We studied 440 patients with CAD admitted to the cardiology ward. Patients were grouped in four groups during admission according to clinical data, fasting plasma glucose and HbA1c: diabetes, HbA1c > 5·9%, stress hyperglycaemia (SH) and normal. In 199 subjects without known diabetes, an oral glucose tolerance test (OGTT) was performed 3 months after discharge, and they were reclassified according to WHO 1998 criteria. Biochemical and inflammatory markers were measured. RESULTS: The OGTT showed that 27·4% of subjects without known diabetes at admission had diabetes, 11·2% had impaired fasting glucose + impaired glucose tolerance, 33·5% impaired glucose tolerance, 3·6% impaired fasting glucose, and 24·4% normal glucose metabolism. Odds ratio for having diabetes 3 months after discharge in HbA1c > 5·9% group was 5·91 (P < 0·0001) and in SH group was 1·82 (P = 0·38). The best HbA1c cut-off point to predict AGR was 5·85%. HbA1c levels during admission were highly predictive of having AGR (AUC ROC 0·76 [95% CI 0·67-0·84]). CONCLUSION: We reported a high prevalence of AGR in subjects with CAD. Stress hyperglycaemia in patients with CAD was not associated with an increased risk of diabetes 3 months later. HbA1c in patients hospitalized with CAD was a useful tool to detect AGR.

Stress hyperglycemia is associated with disease severity in COVID-19.

INTRODUCTION: Coronavirus disease 2019 (COVID-19) is a global pandemic that has affected millions of people worldwide. In this paper, we analyse the relationship between stress hyperglycaemia and disease severity in patients with COVID-19. MATERIAL AND METHODS: A total of 252 patients with COVID-19 were included in this study. The patients were divided into the following groups: COVID-19 with stress hyperglycaemia (SHG), COVID-19 with diabetes (DM), and COVID-19 with normal blood glucose (NG). The stress hyperglycaemia rate (SHR) was calculated using the fasting blood glucose (FBG)/glycated haemoglobin (HbA1c) ratio. To further compare the disease characteristics of different SHRs, we divided the SHR into low SHR and high SHR according to the SHR median. Correlations between the severity of the disease and other factors were analysed after adjusting for sex and age. Multivariate analysis was performed using logistic regression to analyse the risk factors predicting the severity of COVID-19. RESULTS: Compared with the NG group, the SHG group had higher disease severity (p < 0.001); the SHG group had higher HbA1c, FBG, SHR, blood urea nitrogen (BUN), interleukin 6 (IL-6), and neutrophil levels, while lymphocyte, CD3+ T cell, CD8+ T cell, CD4+ T cell, CD16+CD56 cell, and CD19+ cell counts were lower (p < 0.05). Compared with the NG group, the DM group had higher HbA1c, blood glucose, BUN, lactate dehydrogenase (LDH), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and neutrophils, while CD8+ T cell counts were lower (p < 0.05). Compared with the DM group, the SHG group had higher SHR and lower HbA1c, CD3+ T cell, CD4+ T cell, CD16+CD56 cell, and T cell ratio levels (p < 0.05). Compared to the low SHR group, the high SHR group had patients with more severe COVID-19 (p = 0.004). Also, the high SHR grouphad higher age, HbA1c, FBG, asparate aminotransferaze (AST), BUN, LDH, uric acid (UA), CRP, IL-6, and procalcitonin (PCT), while lymphocyte, CD3+ T cell, CD4+ T cell, CD8+ T cell, and CD19+ cell counts were lower (p < 0.05).Binary logistic regression analysis showed that SHR, gender, and lymphocyte count wererisk factorsfor the severity of COVID-19. CONCLUSION: Stress hyperglycaemia, as indicated by a higher SHR, is independently associated with the severity of COVID-19.

Standards for the Use of Enteral Nutrition in Patients with Diabetes or Stress Hyperglycaemia: Expert Consensus.

(1) Background: Hyperglycaemia that occurs during enteral nutrition (EN) should be prevented and treated appropriately since it can have important consequences for morbidity and mortality. However, there are few quality studies in the literature regarding the management of EN in this situation. The objective of this project was to attempt to respond, through a panel of experts, to those clinical problems regarding EN in patients with diabetes or stress hyperglycaemia (hereinafter referred to only as hyperglycaemia) for which we do not have conclusive scientific evidence; (2) Methods: The RAND/UCLA Appropriateness Method, a modified Delphi panel method, was applied. A panel of experts made up of 10 clinical nutrition specialists was formed, and they scored on the appropriateness of EN in hyperglycaemia, doing so in two rounds. A total of 2992 clinical scenarios were examined, which were stratified into five chapters: type of formula used, method of administration, infusion site, treatment of diabetes, and gastrointestinal complications. (3) Results: consensus was detected in 36.4% of the clinical scenarios presented, of which 23.7% were deemed appropriate scenarios, while 12.7% were deemed inappropriate. The remaining 63.6% of the scenarios were classified as uncertain; (4) Conclusions: The recommendations extracted will be useful for improving the clinical management of these patients. However, there are still many uncertain scenarios reflecting that the criteria for the management of EN in hyperglycaemia are not completely standardised. More studies are required to provide quality recommendations in this area.

The occurrence of Hospital-Acquired Pneumonia is independently associated with elevated Stress Hyperglycaemia Ratio at admission but not elevated blood glucose.

BACKGROUND: The association between stress-induced hyperglycaemia (SIH) and increased infection rates in hospitalised subjects is well-known. It is less clear if SIH at admission independently drives new-onset infections. We assessed the relationship between early exposure at admission to both the Stress Hyperglycaemia Ratio (SHR) and Blood Glucose (BG) with Hospital-Acquired Pneumonia (HAP). METHODS: This observational retrospective study included those with length-of-stay > 1 day, BG within 24 h of admission and recent haemoglobin A1c. SIH was defined as BG ≥ 10 mmol/L, or SHR ≥ 1.1, measured at both admission and as a 24-hour maximum. Multivariable analyses were adjusted for length-of-stay, age, mechanical ventilation, and chronic respiratory disease. RESULTS: Of 5,339 eligible subjects, 110 (2.1%) experienced HAP. Admission SHR ≥ 1.1 was independently associated with HAP (OR 3.04, 95% CI 1.98-4.68, p < 0.0001) but not BG ≥ 10 mmol/L (OR 0.65, 95% CI 0.41-1.03, p = 0.0675). The association with SHR strengthened using maximum 24-hour values (OR 3.37, 95% CI 2.05-5.52, p < 0.0001) while BG ≥ 10 mmol/L remained insignificant (OR 0.96, 95% CI 0.63-1.46, p = 0.86). Of those experiencing HAP 40 (36.4%) occurred in subjects with no recorded BG ≥ 10 mmol/L but SHR ≥ 1.1. CONCLUSION: SIH at admission defined as SHR ≥ 1.1, but not the conventional marker of BG ≥ 10 mmol/L, was independently associated with the subsequent onset of HAP, commonly at BG < 10 mmol/L.

Effect of stress hyperglycaemia on acute kidney injury in non-diabetic critically ill patients?

BACKGROUND: Stress hyperglycaemia (SH) and acute kidney injury (AKI) occur frequently in critically ill patients, and particularly non-diabetics are associated with adverse outcome. Data is scarce on the effect of SH on AKI. We assessed whether SH (i) preceded AKI, (ii) was a risk factor of subsequent AKI, and (iii) how SH and tubular injury interacted in AKI development in critically ill, non-diabetics. METHODS: Case-control study of 82 patients each with and without SH matched by propensity score for multiple demographic characteristics. AKI was defined by KDIGO criteria, SH either as blood glucose (BG) > 140 mg/dl (BG140), > 200 mg/dl (BG200), or stress hyperglycemia rate (SHR) ≥ 1.47 (SHR1.47) as measured 2 days before AKI. Urinary cystatin C and neutrophil gelatinase-associated lipocalin (NGAL) indicated tubular injury. RESULTS: In AKI, SH rates were frequent using all 3 definitions applied, but highest when BG140 was applied. SH by all 3 definitions was consistently associated with AKI. This was independent of established risk factors of AKI such as sepsis and shock. Increments of BG, urinary NGAL or cystatin C, and its products, were independently associated with the likelihood of subsequent AKI, demonstrating their reciprocal potentiating effects on AKI development. CONCLUSIONS: SH is frequent in critically ill, non-diabetics with AKI. SH was identified as an independent risk factor of AKI. Higher BG combined with tubular injury may potentiate their adverse effects on AKI.

Glucose indices as inflammatory markers in children with acute surgical abdomen: a cross-sectional study.

BACKGROUND: Glycaemic dysregulation potentiates the pro-inflammatory response and increases oxidative injury; therefore, preoperative hyperglycaemia is linked to increased mortalities. In addition, inflammation is accompanied by higher glycated haemoglobin (HbA1c) levels, and the relationship between this and random blood sugar (RBS) could be non-linear. METHODS: This is a cross-sectional study. Non-diabetic paediatric patients with acute surgical abdomen, presenting to the emergency surgical services were enrolled, over a period of 6 months. They were all screened for their random blood sugar and HbA1c levels. RESULTS: Fifty-three cases were studied. The prevalence of glycaemic dysregulation in the enrolled children was high. Abnormal HbA1c was observed in 66% of the study group. Stress hyperglycaemia was observed in 60% of the enrolled children. There was a significant correlation (r = 0.770, p-value: < 0.001) between RBS and the total leucocytic count (TLC). The TLC cutoff value for predicting stress hyperglycaemia was 13,595 cells/mm3. The cutoff value of RBS for predicting leukocytosis was 111.5 mg/dl. Median RBS level was significantly higher in complicated appendicitis (169.5 mg/dl), compared to uncomplicated appendicitis (118.0 mg/dl). CONCLUSION: HbA1c and RBS could be used as inflammatory markers for surgical acute abdomen and its degree of severity, respectively. HbA1c rises in a considerable number of cases with surgical acute abdomen, irrespective of the disease stage. However, as the disease progresses, the random blood sugar rises due to stress hyperglycaemia, thus becoming a surrogate inflammatory marker.

What is already known on this topic? Preoperative stress hyperglycaemia is common in children, and it is linked to adverse postoperative outcomes. HbA1c could be a marker for inflammation and oxidative stress.What does this study add? HbA1c could be an inflammatory marker for surgical acute abdomen, irrespective of the disease stage, as it had a high prevalence in the enrolled children with an acute surgical abdomen. However, as the disease progresses, the random blood sugar rises due to stress hyperglycaemia, thus becoming a surrogate inflammatory marker, as there is a significant correlation between it and the TLC.How might this study affect research, practice, or policy? The novelty in this study centers around the role of glucose metabolism, as evaluated by random blood sugar and HBA1c, in the diagnostic evaluation and prognostication of inflammation, represented by the surgical acute abdomen. This may invite further research into understanding the underlining mechanisms. The outcome of the clinical management of conditions involving inflammation can be improved by using the proposed biomarkers, as peri/preoperative hyperglycaemia could lead to morbidity and mortality, consequently, as proven, the reliability of those biomarkers facilitates risk assessment and stratification. As both tests are cost-effective and universally available, they can be readily implemented in practice guidelines and departmental policies.

Impact of admission and early persistent stress hyperglycaemia on clinical outcomes in acute pancreatitis.

Background: To determine the impact of glucose levels at admission and during first week (early phase) on clinical outcomes in patients with acute pancreatitis (AP) and to investigate the relationship between stress hyperglycaemia (SHG) and hypertriglyceridaemia (HTG). Methods: Two independent and prospective databases were retrospectively analysed (n = 1792). Patients admitted with pain of less than 48 hours and confirmed AP were included. SHG was defined as admission blood glucose ≥ 10.00 mmol/L (non-diabetic) or ≥ 16.67 mmol/L (diabetic). Blood glucose records for the first week were inspected to determine whether SHG lasted ≥ 48 hours (persistent) or < 48 hours (transient). Clinical outcomes were compared between designated patient groups using multivariate and trend analyses. The correlation between SHG and HTG (serum triglyceride ≥ 5.65 mmol/L) was also analysed. Results: On admission, SHG was present in 27.8% (499/1792) patients; during the first 48 hours of admission, transient and persistent SHG was found in 31% (556/1792) and 8.0% (144/1792) patients, respectively. Admission SHG was associated with higher incidence of persistent organ failure, acute necrotic collection, major infection, and mortality as well as prolonged length of hospital stay (all P < 0.05). Duration of SHG was also associated with worsened clinical outcomes (all P < 0.05). In HTG-AP patients, more severe clinical outcomes were observed in those who concomitantly had SHG (P < 0.05). Conclusions: Admission and persistent SHG during the first week of admission worsens clinical outcomes of AP patients. These effects are more pronounced when admission HTG co-existed.

Stress hyperglycaemia or diabetes mellitus in cervicofacial infections? A Maxillofacial Surgery Trainee Research Collaborative (MTReC) study.

Diabetes mellitus (DM) is thought to be associated with poor outcomes in cervicofacial infections (CFI), yet little is known about the prevalence of DM in these cases. Stress hyperglycaemia (SHG), a normal physiological response to inflammation, is distinct from DM, though they overlap and may be conflated. We aimed to establish the prevalence of DM and SHG in CFI, and to determine the effect of each on severity of disease and outcome measures. The Maxillofacial Surgery Trainee Research Collaborative (MTReC) carried out an audit of all patients with CFI admitted to 25 hospitals between May and October 2017. To the best of our knowledge this created the largest prospective database on CFI, with information collected on presentation, source of infection, biological data, and outcomes. We recorded 1002 admissions, of which 78 (7.8%) had DM. Random blood glucose was measured on admission in 401 patients (40%), of which 45 (11%) displayed SHG. Patients diagnosed with DM were more likely to have infections arising from a salivary source (13% vs 4%, p<0.00), more returns to theatre (9% vs 2%, p<0.00), and a longer hospital stay (median (range) 2 (0-34) vs 1 (0-139) day, p=0.01) than non-DM patients. In contrast, patients with SHG had more severe disease (multiple fascial spaces involved in 59% vs 19%, p=0.01, and systemic inflammatory response syndrome present in 66% vs 45% p=0.03), but did not have significantly more returns to theatre (2% vs 3%, p=0.91) or longer stays in hospital (median (range) 1 (0-63) vs 1 (0-6), p=0.55) than normoglycaemic patients. The prevalence of DM in our cohort was only marginally higher than in the general population, despite previous retrospective case reviews suggesting a significantly higher prevalence. SHG was not associated with poor outcomes in our cohort, but is likely to be associated with a small increased risk of subsequent diagnosis of DM, which can be quantified using a calculator tool. On discharge, it is important to give appropriate advice about diet, lifestyle, exercise, and weight loss to all patients with CFI.