The experience of an adult diabetic foot unit continuing face-to-face consults during the COVID-19 pandemic.

BACKGROUND AND AIMS: The COVID-19 pandemic significantly disrupted lower limb diabetes care. We aimed to map trends in diabetes-related lower limb amputation and hospitalisation rates through the COVID-19 pandemic. METHODS: We performed a retrospective cohort study of all individuals who underwent a lower limb amputation for a diabetes-related foot complication from 2018 to 2021 at the Royal Melbourne Hospital, a quaternary hospital in Australia. Hospitalisation rates with a diabetes-related foot complication were collected for comparison. The start of the COVID-19 epoch was defined as 16 March 2020, when a state of emergency was declared in Melbourne. RESULTS: During the study period, 360 lower limb amputations for diabetes-related foot complications were performed in 247 individuals. The median monthly number of amputations remained stable prior to and during the COVID-19 epoch; there was a median of 8.0 amputations per month (interquartile range (IQR) = 6.5-11) before COVID-19, compared to 6.5 amputations (IQR = 5.0-8.3) during the COVID-19 epoch (P = 0.23). Hospitalisation with a diabetes-related foot complication significantly increased from a median monthly rate of 11 individuals (IQR = 9.0-14) before COVID-19 to 19 individuals (IQR = 14-22) during the COVID-19 epoch (p < 0.001). CONCLUSIONS: Despite increased hospitalisations for diabetes-related foot complications during COVID-19, there was not a corresponding increase in amputation rates. Face-to-face care of diabetes-related foot complications was prioritised at this centre and may have contributed to stable amputation rates during the pandemic.

Glycaemic outcomes in hospital with IDegAsp versus BIAsp30 premixed insulins.

BACKGROUND AND AIMS: IDegAsp (Ryzodeg 70/30), a unique premixed formulation of long-acting insulin degludec and rapid-acting insulin aspart, is increasing in use. Management of IDegAsp during hospitalisation is challenging because of degludec's ultra-long duration of action. We investigated inpatient glycaemia in patients treated with IDegAsp compared to biphasic insulin aspart (BIAsp30; Novomix30). METHODS: We performed a retrospective observational study at two hospitals assessing inpatients with type 2 diabetes treated with IDegAsp or BIAsp30 prior to and during hospital admission. Standard inpatient glycaemic outcomes were analysed based on capillary blood glucose (BG) measurements. RESULTS: We assessed 88 individuals treated with IDegAsp and 88 HbA1c-matched individuals treated with BIAsp30. Patient characteristics, including insulin dose at admission, were well matched, but the IDegAsp group had less frequent twice-daily insulin dosing than the BIAsp30 group (49% vs 87%, P < 0.001). Patient-days with BG <4 mmol/L were not different (10.6% vs 9.9%, P = 0.7); however, the IDegAsp group had a higher patient-day mean BG (10.4 (SD 3.4) vs 10.0 (3.4) mmol/L, P < 0.001), and more patient-days with mean BG >10 mmol/L (48% vs 38%, P < 0.001) compared to the BIAsp30 group. Glucose was higher in the IDegAsp group in the evening (4 PM to midnight) (11.6 (SD 4.0) vs 10.9 (4.6) mmol/L, P = 0.004), but not different at other times during the day. CONCLUSIONS: Inpatients treated with IDegAsp compared to BIAsp30 had similar hypoglycaemia incidence, but higher hyperglycaemia incidence, potentially related to less frequent twice-daily dosing. With the increasing use of IDegAsp in the community, development of hospital management guidelines for this insulin formulation is needed.

High prevalence of diabetes in a regional Australian hospital highlights the need to prioritise inpatient diabetes care.

Regional centres have smaller workforces in acute diabetes care compared to their metropolitan counterparts. A cross-sectional audit performed at Albury Hospital identified a high prevalence (34%) of diabetes for inpatients compared with metropolitan centres. The high prevalence highlights the need for all healthcare services to consider appropriate resources for the management of diabetes in people admitted to hospital.

Improved macronutrient composition of meals delivered to people with diabetes in hospital: a pre-post, mixed-methods observational study.

BACKGROUND: Providing meals which meet diverse needs of hospital inpatients is complex, contributing to challenges in optimising glycaemia. We developed menus that improved the appropriateness of macronutrient composition of meals for inpatients with diabetes. METHODS: Qualitative feedback from patients and healthcare professionals prompted the implementation of two new menus: 'diabetes lifestyle' and 'diabetes high energy'. Quantitative nutrition analysis of meals provided to inpatients using new menus was compared to the regular menu. Qualitative surveys were repeated after the implementation of the new menus. RESULTS: Nutrition analysis demonstrated that meals ordered from the diabetes lifestyle menu (mean energy: 7.85 MJ) comprised less total fat (71 vs. 74 vs. 64 g, p < 0.001), saturated fat (34 vs. 36 vs. 31 g, p < 0.001), carbohydrate (246 vs. 249 vs. 217 g, p < 0.001) and sugar (125 vs. 121 vs. 102 g, p < 0.001) compared to the regular (mean energy: 8.46 MJ) and diabetes high energy menus (mean energy: 8.70 MJ). Meals ordered from the diabetes lifestyle menu provided greater protein (91 g) than the regular (85 g) and diabetes high energy (88 g) menus (p < 0.001) and equivalent fibre (33 vs. 31 vs. 33 g, respectively). After implementation of the new menus, more patients reported that meals met their nutritional needs (19 [95%] vs. 14 [70%], p = 0.04), and more healthcare professionals reported menus for inpatients with diabetes were appropriate (16 [100%] vs. 11 [41%], p < 0.001). CONCLUSION: Using the diabetes lifestyle menu improved the macronutrient composition of meals for inpatients with diabetes not at risk of malnutrition.

Predictors and outcomes of dose reduction of methotrexate and cyclosporin graft-versus-host disease prophylaxis following allogeneic haemopoietic cell transplantation.

BACKGROUND: Concern regarding dose-related toxicities of methotrexate (MTX) and cyclosporin (CYA) graft-versus-host disease (GVHD) prophylaxis occasionally leads to dose alterations post allogeneic haemopoietic cell transplant (alloHCT). AIMS: To clarify causes of MTX and CYA dose alteration and assess impact on patient outcomes, including GVHD, relapse, non-relapse mortality (NRM) and overall survival (OS). METHODS: Analysis of retrospective data was performed in a single tertiary centre of patients who underwent alloHCT for any indication and who received GVHD prophylaxis with CYA and MTX between the years 2011 and 2015. Univariate analysis was conducted using the log-rank test for OS and using competing risk regression for NRM, relapse and GVHD. Fisher exact tests were used to determine if an association existed between each of the pre-transplant variables and MTX alteration. Multivariate models for OS and NRM were constructed using Cox proportional hazards modelling and competing risk regression respectively. RESULTS: Fifty-four (28%) of 196 had MTX alterations and 61/187 (33%) had CYA alterations. Reasons for MTX alteration included mucositis, renal or liver impairment, fluid overload and sepsis. Causes of CYA alteration were numerous, but most commonly due to acute kidney impairment. MTX alteration was associated with inferior OS (hazard ratio 2.4; P = <0.001) and higher NRM (odds ratio (OR) 4.6; P < 0.001) at 6 years post-landmark. CYA alteration was associated with greater NRM (OR 2.7; P = 0.0137) at 6 years. GVHD rates were unaffected by dose alteration. CONCLUSIONS: Our findings suggest dose alteration in MTX and CYA GVHD prophylaxis is associated with adverse survival outcomes in alloHCT, without a significant impact on GVHD rates.

Diabetes IN hospital - Glucose and Outcomes in the COVID-19 pandemic (DINGO COVID-19): the 2020 Melbourne hospital experience prior to novel variants and vaccinations.

BACKGROUND AND AIMS: A relationship between diabetes, glucose and COVID-19 outcomes has been reported in international cohorts. This study aimed to assess the relationship between diabetes, hyperglycaemia and patient outcomes in those hospitalised with COVID-19 during the first year of the Victorian pandemic prior to novel variants and vaccinations. DESIGN, SETTING: Retrospective cohort study from March to November 2020 across five public health services in Melbourne, Australia. PARTICIPANTS: All consecutive adult patients admitted to acute wards of participating institutions during the study period with a diagnosis of COVID-19, comprising a large proportion of patients from residential care facilities and following dexamethasone becoming standard-of-care. Admissions in patients without known diabetes and without inpatient glucose testing were excluded. RESULTS: The DINGO COVID-19 cohort comprised 840 admissions. In 438 admissions (52%), there was no known diabetes or in-hospital hyperglycaemia, in 298 (35%) patients had known diabetes, and in 104 (12%) patients had hyperglycaemia without known diabetes. ICU admission was more common in those with diabetes (20%) and hyperglycaemia without diabetes (49%) than those with neither (11%, P < 0.001 for all comparisons). Mortality was higher in those with diabetes (24%) than those without diabetes or hyperglycaemia (16%, P = 0.02) but no difference between those with in-hospital hyperglycaemia and either of the other groups. On multivariable analysis, hyperglycaemia was associated with increased ICU admission (adjusted odds ratio (aOR) 6.7, 95% confidence interval (95% CI) 4.0-12, P < 0.001) and longer length of stay (aOR 173, 95% CI 11-2793, P < 0.001), while diabetes was associated with reduced ICU admission (aOR 0.55, 95% CI 0.33-0.94, P = 0.03). Neither diabetes nor hyperglycaemia was independently associated with in-hospital mortality. CONCLUSIONS: During the first year of the COVID-19 pandemic, in-hospital hyperglycaemia and known diabetes were not associated with in-hospital mortality, contrasting with published international experiences. This likely mainly relates to hyperglycaemia indicating receipt of mortality-reducing dexamethasone therapy. These differences in published experiences underscore the importance of understanding population and clinical treatment factors affecting glycaemia and COVID-19 morbidity within both local and global contexts.

Ambiguous medical abbreviation study: challenges and opportunities.

BACKGROUND: Healthcare workers often abbreviate for convenience, but ambiguous abbreviations may cause miscommunication, which jeopardises patient care. Robust large-scale research to quantify abbreviation frequency and ambiguity in medical documents is lacking. AIMS: To calculate the frequency of abbreviations used in discharge summaries, the proportion of these abbreviations that are ambiguous and the potential utility of auto-expansion software. METHODS: We designed a software programme to extract all instances of abbreviations from every General Medical Unit discharge summary from the Royal Melbourne Hospital in 2015. We manually expanded abbreviations using published inventories and clinical experience, logging multiple expansions for any abbreviation if identified. Abbreviations were classified based on well defined criteria as standardised and likely to be well understood, or ambiguous. Outcome measures included the range and frequency of standardised and ambiguous abbreviations, and the feasibility of electronic auto-expansion software based on these measures. RESULTS: Of the 1 551 537 words analysed from 2336 documents, 137 997 (8.9%) were abbreviations with 1741 distinct abbreviations identified. Most abbreviations (88.7%) had a single expansion. The most common abbreviation was PO (per os/orally), followed by BD (bis in die/twice daily) and 68.1% of abbreviations were standardised, largely pertaining to pathology/chemicals. This meant, however, that a large proportion (31.9%) of abbreviations (2.8% of all words) were ambiguous. The most common ambiguous abbreviation was Pt (patient/physiotherapy), followed by LFT (liver function test/lung function test). CONCLUSIONS: Close to one-third of abbreviations used in general medical discharge summaries were ambiguous. Electronic auto-expansion of ambiguous abbreviations is likely to reduce miscommunication and improve patient safety.

Hypothyroidism associated with therapy for multi-drug-resistant tuberculosis in Australia.

BACKGROUND: Reports from resource-poor countries have associated thionamide- and para-aminosalicylate sodium (PAS)-based treatment of multi-drug-resistant tuberculosis (MDR-TB) with the development of hypothyroidism. AIM: To identify predictors and assess the cumulative proportions of hypothyroidism in patients treated for MDR-TB with these agents in Australia. METHODS: Retrospective multicentre study of MDR-TB patients from five academic centres covering tuberculosis (TB) services in Victoria, Australia. Patients were identified using each centre's pharmacy department and cross checked with the Victorian Tuberculosis Program. Hypothyroidism was categorised as subclinical if the thyroid-stimulating hormone was elevated and as overt if free thyroxine (fT4) was additionally reduced on two separate occasions. Our main outcome measured was the cumulative proportion of hypothyroidism (at 5 years from treatment initiation). RESULTS: Of the 29 cases available for analysis, the cumulative proportion of hypothyroidism at 5 years was 37% (95% confidence interval (CI): 0-57.8%). Eight of the nine affected cases developed hypothyroidism within the first 12 months of treatment. Hypothyroidism was marginally (P = 0.06) associated with higher prothionamide/PAS dosing and was reversible with cessation of the anti-tuberculosis medication. CONCLUSIONS: Prothionamide/PAS treatment-associated hypothyroidism is common in MDR-TB patients in Australia, emphasising the importance of regular thyroid function monitoring during this treatment. Thyroid hormone replacement, if initiated, may not need to be continued after MDR-TB treatment is completed.

Cardiovascular and Metabolic Risk Incidence Among Adult Allogeneic Stem Cell Transplant Recipients: A Narrative Review.

Advances in allogeneic hematopoietic stem cell transplantation (alloHSCT) and supportive care over the past decade have reduced transplant and relapse-related mortality, leading to a greater number of long-term survivors. However, transplant-related late effects, such as cardiovascular disease (CVD) and metabolic diseases, are becoming significant concerns for this group. This review aims to address several key questions regarding cardiovascular late effects in alloHSCT recipients, including the long-term incidence of CVD-related events, the prevalence of risk factors, screening and management recommendations, and evidence for screening and prevention strategies. A literature search was conducted in PubMed Central using the National Library of Medicine search engine, covering all relevant research from inception to 2023. The initial search identified 751 research records, of which 41 were shortlisted based on specific criteria (≥18 years of age at the time of transplant, allogeneic transplant, and inclusion of more than 30 patients). Our review highlights published evidence confirming the increased CVD risk among alloHSCT recipients. This risk is especially pronounced among individuals who have developed traditional and modifiable risk factors or have been exposed to transplant-specific risk factors. Evidence of the use of traditional cardiac risk factor calculators in the alloHSCT population is limited, in addition, there is emerging evidence that general population calculators potentially underestimate CVD risk given the increased risk of CVD in the allogeneic group as a whole. Studies that develop and validate transplant recipient-specific CVD risk stratification tools appear to be severely lacking and the field's focus needs to be shifted here in the coming years. To improve patient engagement and adherence to CVD risk factor measures, we recommend that a multidisciplinary model involving both specialists and primary care physicians is crucial in ensuring regular follow-up in the community and to potentially improve adherence.

The Canadian Hypoglycemia During Hospitalization Score Is Externally Valid in the Australian Diabetes IN-hospital: Glucose & Outcomes (DINGO) Cohort.

OBJECTIVES: The Hypoglycemia During Hospitalization (HyDHo) score predicts hypoglycemia in a population of Canadian inpatients by assigning various weightings to 5 key clinical criteria known at the time of admission, in particular age, recent presentation to an emergency department, insulin use, use of oral hypoglycemic agents, and chronic kidney disease. Our aim in this study was to externally validate the HyDHo score by applying this risk calculator to an Australian population of inpatients with diabetes. METHODS: This study was a retrospective data analysis of a subset of the Diabetes IN-hospital: Glucose & Outcomes (DINGO) cohort. The HyDHo score was applied based on clinical information known at the time of admission to stratify risk of inpatient hypoglycemia. RESULTS: The HyDHo score was applied to 1,015 patients, generating a receiver-operating characteristic c-statistic of 0.607. A threshold of ≥9, as per the original study, generated a sensitivity of 83% and a specificity of 20%. A threshold of ≥10, to better suit this Australian population, generated a sensitivity of 90% and a specificity of 34%. The HyDHo score has been externally valid in a geographically different population; in fact, it outperformed the original study after accounting for local hypoglycemia rates. CONCLUSIONS: Our findings support the external validity of the HyDHo score in a geographically different population. Application of this simple and accessible tool can serve as an adjunct to predict an inpatient's risk of hypoglycemia and guide more appropriate glucose monitoring and diabetes management.

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.

The Specialist Treatment of Inpatients: Caring for Diabetes in Surgery (STOIC-D Surgery) Trial: A Randomized Controlled Trial of Early Intervention With an Electronic Specialist-Led Model of Diabetes Care.

OBJECTIVE: To investigate the effect of early intervention with an electronic specialist-led "proactive" model of care on glycemic and clinical outcomes. RESEARCH DESIGN AND METHODS: The Specialist Treatment of Inpatients: Caring for Diabetes in Surgery (STOIC-D Surgery) randomized controlled trial was performed at the Royal Melbourne Hospital. Eligible participants were adults admitted to a surgical ward during the study with either known diabetes or newly detected hyperglycemia (at least one random blood glucose result ≥11.1 mmol/L). Participants were randomized 1:1 to standard diabetes care or the intervention consisting of an early consult by a specialist inpatient diabetes team using electronic tools for patient identification, communication of recommendations, and therapy intensification. The primary outcome was median patient-day mean glucose (PDMG). The key secondary outcome was incidence of health care-associated infection (HAI). RESULTS: Between 12 February 2021 and 17 December 2021, 1,371 admissions met inclusion criteria, with 680 assigned to early intervention and 691 to standard diabetes care. Baseline characteristics were similar between groups. The early intervention group achieved a lower median PDMG of 8.2 mmol/L (interquartile range [IQR] 6.9-10.0 mmol/L) compared with 8.6 mmol/L (IQR 7.2-10.3 mmol/L) in the control group for an estimated difference of -0.3 mmol/L (95% CI -0.4 to -0.2 mmol/L, P < 0.0001). The incidence of HAI was lower in the intervention group (77 [11%] vs. 110 [16%]), for an absolute risk difference of -4.6% (95% CI -8.2 to -1.0, P = 0.016). CONCLUSIONS: In surgical inpatients, early diabetes management intervention with an electronic specialist-led diabetes model of care reduces glucose and HAI.

Longitudinal Digital Glucometric Benchmarking to Evaluate the Impact of Institutional Diabetes Care Initiatives in Adults With Diabetes Mellitus Over the 2016-2020 Period.

BACKGROUND: While glucometric benchmarking has been used to compare glucose management between institutions, the value of longitudinal intra-institution benchmarking to assess quality improvement changes is not established. METHODS: A prospective six-month observational study (October 2019-March 2020 inclusive) of inpatients with diabetes or newly detected hyperglycemia admitted to eight medical and surgical wards at the Royal Melbourne Hospital. Networked blood glucose (BG) meters were used to collect capillary BG levels. Outcomes were measures of glycemic control assessed by mean and threshold glucometric measures and comparison with published glucometric benchmarks. Intra-institution comparison was over the 2016-2020 period. RESULTS: In all, 620 admissions (588 unique individuals) met the inclusion criteria, contributing 15 164 BG results over 4023 admission-days. Compared with the 2016 cohort from the same institution, there was increased BG testing (3.8 [SD = 2.2) vs 3.3 [SD = 1.7] BG measurements per patient-day, P < .001), lower mean patient-day mean glucose (PDMG; 8.9 mmol/L [SD = 3.2] vs 9.5 mmol/L [SD = 3.3], P < .001), and reduced mean and threshold measures of hyperglycemia (P < .001 for all). Comparison with institutions across the United States revealed lower incidence of mean PDMG >13.9 or >16.7 mmol/L, and reduced hypoglycemia (<3.9, <2.8, and <2.2 mmol/L), when compared with published benchmarks from an earlier period (2009-2014). CONCLUSIONS: Comprehensive digital-based glucometric benchmarking confirmed institutional quality improvement changes were followed by reduced hyperglycemia and hypoglycemia in a five-year comparison. Longitudinal glucometric benchmarking enables evaluation and validation of changes to institutional diabetes care management practices.

End-of-Life Care Requires Caution with Use of Continuous Glucose Monitoring.

Use of medical device technologies for diabetes mellitus, including continuous glucose monitoring devices, is becoming more frequently encountered in end-of-life care. Good communication is paramount to determine patient and carer preferences for if, when, and how blood glucose monitoring should occur in the end-of-life setting. We present two differing cases of how continuous glucose monitoring in an Australian setting impacted end-of-life care for the patients and their carers.