Rates of Community-based Antibiotic Prescriptions and Hospital-treated Infections in Individuals With and Without Type 2 Diabetes: A Danish Nationwide Cohort Study, 2004–2012

Blood glucose management in hospitalized patients: a review of current literature

Diabetes mellitus is a chronic medical condition which affects millions of adults worldwide. It can result in various complications and is associated with a higher rate of hospitalizations. Blood glucose management in hospitalized patients is a critical aspect of care, which is important for preventing complications, improving patient outcomes, and reducing the length of hospital stay. Blood glucose control is difficult to achieve secondary to multiple factors involved in its regulation (e.g. type of medical illness, corticosteroid use, and enteral feeding) as well as varying evidence to determine different aspects of it. Our goal is to summarize the existing evidence from observational studies, clinical trials, and various society guidelines on blood glucose management in the hospitalized setting.

Elevated risk of infection in individuals with hyperinsulinaemic type 2 diabetes: a Danish 12 year cohort study

AIMS/HYPOTHESIS

A better understanding of the mechanisms underlying an elevated infection risk in individuals with type 2 diabetes is needed to guide risk stratification and prevention. We investigated the risk of infection in subgroups of individuals with type 2 diabetes according to indices of insulin sensitivity and beta cell function.

METHODS

We classified 7265 individuals with recently diagnosed type 2 diabetes (median duration 1.4 years, IQR 0.5-2.9 years) into hyperinsulinaemic (high beta cell function [HOMA 2-beta-cell function, HOMA2-B], low insulin sensitivity [HOMA 2-insulin sensitivity, HOMA2-S]), classical (low HOMA2-B, low HOMA2-S) and insulinopenic (low HOMA2-B, high HOMA2-S) type 2 diabetes. Individuals were followed until first hospital-treated infection or first prescription for an anti-infective agent (community-treated infection). We used Cox regression analysis to estimate HRs adjusted for age, sex, index year, diabetes duration and treatment, lifestyle behaviours and comorbidities.

RESULTS

Among study participants, 28% had hyperinsulinaemic, 63% had classical and 9% had insulinopenic type 2 diabetes. The 10 year risks of hospital-treated infections were 42.3%, 36.8% and 31.0% in the three subgroups, respectively. Compared with the insulinopenic subgroup, adjusted HRs for hospital-treated infections were elevated for hyperinsulinaemic (1.38 [95% CI 1.16, 1.65]) and classical type 2 diabetes (1.20 [95% CI 1.02, 1.42]). The 10 year risks of community-treated infections were high in all three subgroups at 91.6%, 90.1% and 88.3%, respectively, corresponding to adjusted HRs of 1.20 (95% CI 1.08, 1.33) for the hyperinsulinaemic and 1.10 (95% CI 1.00, 1.21) for the classical subgroup. Infection risk in the hyperinsulinaemic subgroup decreased substantially when further adjusted for abdominal obesity, metabolic derangements and low-grade inflammation.

CONCLUSIONS/INTERPRETATION

The risk of severe infections is clearly elevated in individuals with type 2 diabetes characterised by a higher degree of insulin resistance/hyperinsulinaemia.

Glycemic control and bacterial infectious risk in type 2 diabetes: A retrospective cohort from a primary care database

OBJECTIVE

The prevalence of diabetes was estimated at 5.3% of the French population in 2020. People with type 2 diabetes have an increased risk of infection. Currently, there is no consensus on the impact of glycemic control on infectious risk. The objective was to evaluate whether glycemic control and diabetes severity were associated with infectious risk in type 2 diabetes.

MATERIALS AND METHODS

We designed a multicenter retrospective cohort study using data from a French primary care database. Data were collected from January 2012 to January 2022. Glycemic control was estimated by the threshold of glycated hemoglobin and diabetes severity by the number, and the type, of antidiabetic treatments. Infectious risk was evaluated by the mean of antibiotic prescriptions per year.

RESULTS

Among 59,020 patients, 1959 patients were included in the final analysis. The threshold of glycated hemoglobin was not associated with the mean of antibiotic prescriptions per year (ANOVA p = 0.228). Secondary analyses did not show an association between the number, or the type, of antidiabetic treatments and the mean of antibiotic prescriptions per year (p = 0.53 and p = 0.018, respectively). No association was observed between glycemic control, diabetes severity and infectious risk in patients with type 2 diabetes. This is the first European study using data from primary care to examine bacterial infectious risk in patients with type 2 diabetes, demonstrating the possibilities offered by the use of databases in primary care research.

CONCLUSION

Long-term glycemic control was not associated with bacterial infectious risk in patients with type 2 diabetes.

Diabetes and risk of hospitalisation due to infection in northeastern Thailand: Retrospective cohort study using population-based healthcare service data

BACKGROUND

Population-based studies describing the association between diabetes and increased risk of infection have largely been based in high-income countries. There is limited information describing the burden of infectious disease attributable to diabetes in low and middle-income countries. This study aimed to describe the burden and risk of infectious disease hospitalisation in people with diabetes compared to those without diabetes in northeastern Thailand.

METHODS

In a retrospective cohort study using electronic health record data for 2012-2018 for 3.8 million people aged ≥20 years in northeastern Thailand, hospitalisation rates for any infectious diseases (ICD-10 codes A00-B99) were estimated and negative binomial regression used to estimate rate ratios (RR) for the association between diabetes and infectious disease hospitalisation adjusted for age, sex and area of residence.

RESULTS

In this study, 164,177 people had a diagnosis of diabetes mellitus at any point over the study period. Infectious disease hospitalisation rates per 1000 person-years (95%CI) were 71.8 (70.9, 72.8), 27.7 (27.1, 28.3) and 7.5 (7.5, 7.5) for people with prevalent diabetes, incident diabetes and those without diabetes respectively. Diabetes was associated with a 4.6-fold higher risk of infectious disease hospitalisation (RR (95% CI) 4.59 (4.52, 4.66)). RRs for infectious disease hospitalisation were 3.38 (3.29, 3.47) for people with diabetes managed by lifestyle alone and 5.29 (5.20, 5.39) for people receiving prescriptions for diabetes drugs.

CONCLUSIONS

In this Thai population, diabetes was associated with substantially increased risk of hospitalisation due to infectious diseases and people with diabetes who were on pharmacological treatment had a higher risk than those receiving lifestyle modification advice alone.

A matched cohort study evaluating the risks of infections in people with type 1 diabetes and their associations with glycated haemoglobin

AIMS

People with type 1 diabetes (T1D) have raised infection rates compared to those without, but how these risks vary by age, sex and ethnicity, or by glycated haemoglobin (HbA1c), remain uncertain.

METHODS

33,829 patients with T1D in Clinical Practice Research Datalink on 01/01/2015 were age-sex-ethnicity matched to two non-diabetes patients. Infections were collated from primary care and linked hospitalisation records during 2015-2019, and incidence rate ratios (IRRs) were estimated versus non-diabetes. For 26,096 people with T1D, with ≥3 HbA1c measurements in 2012-2014, mean and coefficient of variation were estimated, and compared across percentiles.

RESULTS

People with T1D had increased risk for infections presenting in primary care (IRR = 1.81, 95%CI 1.77-1.85) and hospitalisations (IRR = 3.37, 3.21-3.53) compared to non-diabetes, slightly attenuated after further adjustment. Younger ages and non-White ethnicities had greater relative risks, potentially explained by higher HbA1c mean and variability amongst people with T1D within these sub-groups. Both mean HbA1c and greater variability were strongly associated with infection risks, but the greatest associations were at the highest mean levels (hospitalisations IRR = 4.09, 3.64-4.59) for >97 versus ≤53 mmol/mol.

CONCLUSIONS

Infections are a significant health burden in T1D. Improved glycaemic control may reduce infection risks, while prompter infection treatments may reduce hospital admissions.

Trends in the incidence of Clostridioides difficile infection in adults and the elderly insured by Medicaid compared to commercial insurance or Medicare only

OBJECTIVE

Few data are available to quantify the Clostridioides difficile infection (CDI) burden in US adults depending on Medicaid insurance status; thus, we sought to contribute to this body of information.

METHODS

Retrospective cohort study to identify adults with codes for CDI from 2011 to 2017 in MarketScan commercial and Medicaid databases (for those aged 25-64 years) and the CMS Medicare database (for those aged ≥65 years). CDI was categorized as healthcare-facility-associated (HCA-CDI) and community-associated CDI (CA-CDI). CDI incidence rates were compared by year, insurer, and age group.

RESULTS

The overall CDI incidence in the elderly was 3.1-fold higher in persons insured by Medicare plus Medicaid than in those insured by Medicare only (1,935 vs 618 per 100,000 person years (PY)), and the CDI incidence was 2.7-fold higher in younger adults with Medicaid compared to commercial insurance (195 vs 73 per 100,000 PY). From 2011 to 2017, HCA-CDI rates declined in the younger Medicaid population (124.0 to 95.2 per 100,000 PY; P < .001) but were stable in those commercially insured (25.9 to 24.8 per 100,000 PY; P = .33). In the elderly HCA-CDI rates declined from 2011 to 2017 in the Medicare-only population (403 to 318 per 100,000 PY; P < .001) and the Medicare plus Medicaid population (1,770 to 1,163 per 100,000 PY; P < .002). Persons with chronic medical conditions and those with immunocompromising conditions insured by Medicaid had 2.8- and 2.7-fold higher CDI incidence compared to the commercially insured population, respectively. The incidence of CDI was lowest in Medicaid and commercially insured younger adults without chronic medical or immunosuppressive conditions (67.5 and 45.6 per 100,000 PY, respectively).

CONCLUSIONS

Although HCA-CDI incidence decreased from 2011 to 2017 in elderly and younger adults insured by Medicaid, the burden of CDI remains much higher in low-income adults insured by Medicaid.

Epidemiology, management and outcome of candidaemia in patients with diabetes

BACKGROUND

Candidaemia is the commonest fungal bloodstream infection in hospitalised patients. Diabetes is one of the risk factors for mortality from candidaemia.

METHODS

We compared the epidemiology, clinical characteristics and management of candidaemia in patients with and without diabetes.

RESULTS

Over a 10-year period, 200 episodes of Candida bloodstream infection were documented. Patients with diabetes were younger (58.7 vs 65.5 years), less likely to be suffering from cancer (21.8% vs 36%), and had significantly lower 30-day and 90-day crude mortality (17.2% vs 35.6% and 28.4% vs 48.6%, respectively). Candida glabrata was more common in patients with diabetes (39.3% vs 29.7%). Based on European Confederation of Medical Mycology (ECMM) quality indicators, the management of patients with and without diabetes was similar.

DISCUSSION

Our study highlights the importance of epidemiological data in relation to candidaemia in patients with diabetes and the growing threat of invasive C. glabrata infection in this subset of patients.

Pharmacological thromboprophylaxis as a risk factor for early periprosthetic joint infection following primary total joint arthroplasty

Venous thromboembolism (VTE) prophylaxis has been suggested for patients who underwent total join arthroplasty (TJA). However, the morbidity of surgical site complications (SSC) and periprosthetic joint infection (PJI) has not been well evaluated. We aimed to evaluate the impact of VTE prophylaxis on the risk of early postoperative SSC and PJI in a Taiwanese population. We retrospectively reviewed 7511 patients who underwent primary TJA performed by a single surgeon from 2010 through 2019. We evaluated the rates of SSC and PJI in the early postoperative period (30-day, 90-day) as well as 1-year reoperations. Multivariate regression analysis was used to identify possible risk factors associated with SSC and PJI, including age, sex, WHO classification of weight status, smoking, diabetes mellitus (DM), rheumatoid arthritis(RA), Charlson comorbidity index (CCI), history of VTE, presence of varicose veins, total knee or hip arthroplasty procedure, unilateral or bilateral procedure, or receiving VTE prophylaxis or blood transfusion. The overall 90-day rates of SSC and PJI were 1.1% (N = 80) and 0.2% (N = 16). VTE prophylaxis was a risk factor for 90-day readmission for SSC (aOR: 1.753, 95% CI 1.081-2.842), 90-day readmission for PJI (aOR: 3.267, 95% CI 1.026-10.402) and all 90-day PJI events (aOR: 3.222, 95% CI 1.200-8.656). Other risk factors included DM, underweight, obesity, bilateral TJA procedure, younger age, male sex and RA. Pharmacological thromboprophylaxis appears to be a modifiable risk factor for SSC and PJI in the early postoperative period. The increased infection risk should be carefully weighed in patients who received pharmacological VTE prophylaxis.

Systematic Review of Literature Examining Bacterial Urinary Tract Infections in Diabetes

This systematic review addresses the central research question, "what is known from the published, peer-reviewed literature about the impact of diabetes on the risk of bacterial urinary tract infections (UTI)?" We examine the results from laboratory studies where researchers have successfully adapted mouse models of diabetes to study the pathophysiology of ascending UTI. These studies have identified molecular and cellular effectors shaping immune defenses against infection of the diabetic urinary tract. In addition, we present evidence from clinical studies that in addition to diabetes, female gender, increased age, and diabetes-associated hyperglycemia, glycosuria, and immune impairment are important risk factors which further increase the risk of UTI in diabetic individuals. Clinical studies also show that the uropathogenic genera causing UTI are largely similar between diabetic and nondiabetic individuals, although diabetes significantly increases risk of UTI by drug-resistant uropathogenic bacteria.

Antibiotic exposure and risk of type 2 diabetes mellitus: a systematic review and meta-analysis

To investigate the association between antibiotic exposure and risk of type 2 diabetes mellitus (T2DM). Four electronic databases, including PubMed, MEDLINE, EMBASE, and Cochrane Library, were searched for all relevant studies, from inception until May 2021, without restrictions. Pooled odds risk (OR) with 95% confidence intervals (CI) was applied to evaluate the effect value. Nine studies counting a total of 3,924,272 participants were assessed in the systematic review and meta-analyses. By meta-analysis using no antibiotic exposure as the reference, antibiotic exposure has a higher risk for T2DM (OR=1.16; 95% CI, 1.10-1.22). Subgroup analyses suggested that the antibiotic exposure could significantly enhance the risk of T2DM in those whose age were more than 50 (OR=1.17; 95% CI, 1.08-1.25). Further stratified analysis indicated that the association was likely attributed to the chemical structure of antibiotics, but not to antibacterial type and mechanism of action. Our results may further support the possibility that antibiotic use in recent years was associated with increased risk of T2DM. More attentions and cautions should be taken by the physicians when prescribing antibiotics.

Mannose-binding lectin and risk of infections in type 2 diabetes: A Danish cohort study

AIMS

In individuals at increased risk of infections, e.g., patients with type 2 diabetes, low MBL may have detrimental effects. We used the Mendelian randomization principle to examine whether genetically low MBL is a risk factor for developing infections in patients with type 2 diabetes.

METHODS

Serum MBL (n = 7305) and MBL genotype (n = 3043) were determined in a nationwide cohort of patients with new type 2 diabetes and up to 8 years follow-up for hospital-treated infections and community-based antimicrobial prescriptions. The associations were examined in spline and Cox regression analyses.

RESULTS

1140 patients (16%) were hospitalized with an infection and 5077 patients (70%) redeemed an antimicrobial prescription. For low (≤100 μg/L) versus intermediate (101-1000 μg/L) serum MBL concentration, the adjusted hazard ratios (aHRs) were 1.13(95% confidence interval, 0.96-1.33) for any hospital-treated infections and 1.19(1.01-1.41) for bacterial infections. Low MBL expression genotype was not associated with risk of any hospital-treated infections except for diarrheal diseases (aHR 2.23[1.04-4.80]). Low MBL expression genotype, but not low serum MBL, was associated with increased risk for antimicrobial prescriptions (aHR 1.18[1.04-2.34] and antibacterial prescriptions 1.20[1.05-1.36]).

CONCLUSIONS

Low MBL is a weak causal risk factor for developing infections in patients with type 2 diabetes.

Incident psychopharmacological treatment and psychiatric hospital contact in individuals with newly developed type 2 diabetes - a register-based cohort study

To investigate the association between newly developed type 2 diabetes (T2D) and incident psychopharmacological treatment and psychiatric hospital contact. Via Danish registers, we identified all 56 640 individuals from the Central and Northern Denmark Regions with newly developed T2D (defined by the first HbA1c measurement ≥6.5%) in 2000-2016 as well as 315 694 age- and sex-matched controls (without T2D). Those having received psychopharmacological treatment or having had a psychiatric hospital contact in the 5 years prior to the onset of T2D were not included. For this cohort, we first assessed the 2-year incidence of psychopharmacological treatment and psychiatric hospital contact. Secondly, via Cox regression, we compared the incidence of psychopharmacological treatment/psychiatric hospital contact among individuals with T2D to propensity score-matched controls - taking a wide range of potential confounders into account. Finally, via Cox proportional hazards regression, we assessed which baseline (T2D onset) characteristics were associated with subsequent psychopharmacological treatment and psychiatric hospital contact. A total of 8.3% of the individuals with T2D initiated psychopharmacological treatment compared to 4.6% of the age- and sex-matched controls. Individuals with T2D were at increased risk of initiating psychopharmacological treatment compared to the propensity score-matched controls (HR = 1.51, 95% CI = 1.43-1.59), whereas their risk of psychiatric hospital contact was not increased to the same extent (HR = 1.14, 95% CI = 0.98-1.32). Older age, somatic comorbidity, and being divorced/widowed were associated with both psychopharmacological treatment and psychiatric hospital contact following T2D. Individuals with T2D are at elevated risk of requiring psychopharmacological treatment.

Utilisation of healthcare services for respiratory tract infections in patients with and without diabetes in Qatar: a cross-sectional study

OBJECTIVE

People with diabetes mellitus have a high risk of acquiring respiratory tract infections (RTIs), yet little is known about their utilisation of healthcare services compared with people without diabetes. This study aimed to compare the utilisation of healthcare services for RTIs between individuals with and without diabetes attending primary healthcare centres (PHCCs) in Qatar.

DESIGN

A retrospective cross-sectional study was conducted using an electronic database of all individuals who had a diagnosis of RTI.

SETTING

PHCCs in Qatar from July 2015 to December 2017.

PARTICIPANTS

Participants in the study were all adult individuals (aged ≥18 years) who visited the primary healthcare facilities and were diagnosed with an RTI during the study period.

PRIMARY AND OUTCOME MEASURES

For each participant, visits to the healthcare facility, antibiotic use and use of other medications were extracted from the electronic database and compared between participants with and without a diabetes diagnosis.

RESULTS

A total of 32 857 participants were included, of whom 7407 (22.5%) had a diabetes diagnosis. Results from a negative binomial regression indicate that diabetes diagnosis was significantly associated with increased visits to the healthcare facility (incidence rate ratio (IRR) 1.10, 95% CI 1.076 to 1.134, p<0.001), antibiotic use (IRR 1.09, 95% CI 1.046 to 1.145, p<0.001) and use of other medications (IRR 1.11, 95% CI 1.078 to 1.143, p<0.001).

CONCLUSIONS

A diabetes diagnosis among patients with RTI was associated with higher utilisation of healthcare services. Given the added costs to the healthcare system, prevention of diabetes will have additional benefits to the healthcare system, apart from diabetes-associated costs alone.

Diabetes and the Risk of Infection: A National Cohort Study

BACKGROUND

Several studies have shown that people with diabetes are vulnerable to infection. This study compared the risk of infection-related hospitalizations, intensive care unit (ICU) admission, and deaths between the person with diabetes and the general population in South Korea.

METHODS

We conducted a cohort study of 66,426 diabetes and 132,852 age-sex-region-matched non-diabetes controls from the general population using a sample of data from the National Health Insurance Service-National Sample Cohort. The cohort was followed up for 9 years. Infections were classified into 17 separate categories. We used Poisson regression, with adjustment for household income and other comorbidities, to estimate incidence rate ratios (IRRs) in order to compare of infection-related hospitalizations, ICU admissions, and deaths.

RESULTS

Compared to non-diabetes controls, diabetes group had a greater risk of almost all the types of infections considered, with the adjusted IRRs (aIRRs) for infection-related hospitalizations being the highest for hepatic abscess (aIRR, 10.17; 95% confidence interval [CI], 7.04 to 14.67), central nervous system (CNS) infections (aIRR, 8.72; 95% CI, 6.64 to 11.45), and skin and soft tissue infections other than cellulitis (SSTIs) (aIRR, 3.52; 95% CI, 3.20 to 3.88). Diabetes group also had a greater risk of ICU admission and death due to SSTIs (aIRR, 11.75; 95% CI, 7.32 to 18.86), CNS infections (aIRR, 5.25; 95% CI, 3.53 to 7.79), and bone and joint infections (aIRR, 4.78; 95% CI, 3.09 to 7.39).

CONCLUSION

In South Korea, people with diabetes has a considerably higher incidence of infection-related hospitalizations and deaths than the general population.

Is the Preoperative Glycated Hemoglobin (HbA1c) Level Predictive of the Severity of Diabetic Hand Infection According to Surgical and Clinical Outcomes?

OBJECTIVE

We purposed to investigate whether preoperative HbA1c level is associated with the severity of surgical treatment in diabetic hand infection cases.

MATERIALS AND METHODS

Between December 2015 and October 2018, 102 patients were surgically treated due to diabetic hand infection. Of the patients, 75 who met the criteria for diabetic hand infection were included in the study. The patients were divided into two groups: Group 1, < 8.5% HbA1c level (poorly controlled); and Group 2, 8.5% or higher HbA1c level (uncontrolled). Preoperative, intraoperative, and postoperative data were recorded. Drainage, VAC, ray/open amputation, and microsurgical reconstruction were performed according to the examination and clinical findings. p<0.05 was considered statistically significant.

RESULTS

The study groups consisted of 41 patients (5 female/36 male; median age 59 years, range 32-68) in Group 1 and 34 patients (6 female/28 male; median age 62 years, range 28-67) in Group 2. The mean follow-up period was 21.14±10.42 months in Group 1 and 16.70±10.19 months in Group 2, which were not significantly different (p>0.05). The most common microbiological pathogen was polymicrobial in both study groups (39% in Group 1 and 41.2% in Group 2). Drainage was the most common surgical procedure in both groups and there was no significant difference between the groups in terms of the surgical techniques that were used (p>0.05).

CONCLUSION

Although HbA1c level is an important biomarker for monitoring glycemia in diabetic patients, it is not associated with the severity of surgical treatment in diabetic hand infections.

Antibiotic Exposure Disturbs the Gut Microbiota and Its Metabolic Phenotype Differently in Rats with Advanced-Stage Type 1 Diabetes and Age-Matched Controls

Antibiotic-induced microbial perturbations alter host metabolism and affect host physiology. In this study, we aimed to investigate the effects of vancomycin (Vanc) and ciprofloxacin/metronidazole (CiMe) exposures on the gut microbiome and metabolome in the colonic content and tissue samples from advanced-stage type 1 diabetic (AST1D) rats and age-matched controls (AMCs) using 16S ribosomal RNA gene sequencing and nuclear magnetic resonance-based metabolomics. The results show that antibiotic effects on the gut microbiota were stronger in AMC rats relative to AST1D rats. These microbial alterations were accompanied by a series of metabolic changes, including energy metabolism, short-chain fatty acid metabolism, and amino acid metabolism. We found that AMC rats had a more notable metabolic response to antibiotic exposure than AST1D rats. Additionally, Vanc had a stronger impact on the gut microbiota and host metabolic phenotype versus CiMe. Therefore, our results reveal that antibiotic-induced shifts in the gut microbiome and metabolome are different between AST1D and AMC rats. If confirmed in human studies, these findings suggest that diabetic patients may need a specific strategy for antibiotic use in clinical practice.

Association of diabetes-related kidney disease with cardiovascular and non-cardiovascular outcomes: a retrospective cohort study

BACKGROUND

Diabetes-related kidney disease is associated with end-stage renal disease and mortality, but opportunities remain to quantify its association with cardiovascular and non-cardiovascular morbidity outcomes.

METHODS

We used the Truven Health MarketScan Commercial Claims and Encounters Database, 2010-2014, which includes specific health services records for employees and their dependents from a selection of large employers, health plans, and government and public organizations. We used administrative claims data to quantify the association between diabetes-related kidney disease and end-stage renal disease, myocardial infarction, congestive heart failure, stroke, and infections. Cox proportional hazard regression models were used to estimate adjusted hazard ratios of developing complications.

RESULTS

Among 2.2 million patients with diabetes, 7.1% had diabetes-related kidney disease: 13.5%, stage 1-2; 33.8%, stage 3; 13.2% stages 4-5; 39.5%, unknown stage. In multivariable Cox proportional hazard models adjusted for demographic characteristics, baseline comorbid conditions, and total hospital days during the baseline period, hazard ratios for each outcome increased with greater diabetes-related kidney disease severity (stage 1-2 vs. stage 4-5) compared with no diabetes-related kidney disease: myocardial infarction, 1.2 (95% confidence interval 1.1-1.4) and 3.1 (2.9-3.4); congestive heart failure, 1.7 (1.6-1.9) and 5.6 (5.3-5.8); stroke, 1.3 (1.2-1.5) and 2.3 (2.1-2.5); infection, 1.4 (1.3-1.5) and 2.9 (2.8-3.0). Among patients with stage 4-5 disease, 36-month cumulative incidence was nearly 22.8% for congestive heart failure, and 25.8% for infections.

CONCLUSIONS

Diabetes-related kidney disease appears to be formally diagnosed at a more advanced stage than might be expected, given clinical practice guidelines. Risks of cardiovascular and non-cardiovascular outcomes are high.

Diabetes, Glycemic Control, and Risk of Infection Morbidity and Mortality: A Cohort Study

Objective

Diabetic patients have an elevated risk of infection, but the optimal level of glycemic control with the lowest infection risk remains unclear, especially among the elderly. We aimed to investigate the relation between fasting plasma glucose (FPG) level and risk of infection-related morbidity and mortality.

Method

The participants were from a community-based health screening program in northern Taiwan during 2005–2008 (n = 118 645) and were followed up until 2014. Incidence of hospitalization for infection and infection-related death was ascertained from the National Health Insurance Database and National Death Registry. Cox proportional hazards regression modelling was used to estimate the hazard ratio (HR) between FPG and risk of infection.

Results

During a median follow-up of 8.1 years, the incidence rate of hospitalization for any infection was 36.33 and 14.26 per 1000 person-years among diabetics and nondiabetics, respectively, in the total study population, but increased to 70.02 and 45.21 per 1000 person-years, respectively, in the elderly. In the Cox regression analysis, the adjusted HR comparing diabetics to nondiabetics was 1.59 (95% confidence interval [CI], 1.52–1.67) for any hospitalization for infection and 1.71 (95% CI, 1.36–2.16) for infection-related mortality. The hazard for infection morbidity and mortality was higher at both extremes (<90 and >200 mg/dl) of FPG. The excess risk associated with FPG ≤ 90 mg/dl was attenuated after controlling for multiple comorbidities.

Conclusions

Poor glycemic control (FPG > 200 mg/dl) was associated with a higher risk of infection-related morbidity and mortality, especially in the elderly population where the baseline infection risk was high.

Diabetes does not increase infection risk or mortality following an infection in patients with cirrhosis and ascites

Both cirrhosis and diabetes are established risk factors for infections. However, it remains uncertain whether diabetes adds to the risk of infections in patients with cirrhosis who are already at high risk of infections, or increases the mortality following an infection. To answer these questions, we followed a cohort of trial participants with cirrhosis and ascites for 1 year to compare the incidence of infections and post-infection mortality between those with or without diabetes.

Methods

We used Cox regression to estimate the hazard ratio (HR) of any infection, adjusting for confounding by patient age, gender, MELD score, albumin, use of proton pump inhibitors and lactulose, cirrhosis aetiology, and severity of ascites. Further, we analysed the mortality after infection.

Results

Among 1,198 patients with cirrhosis and ascites, diabetics (n = 289, 24%) were more likely than non-diabetics (n = 909, 76%) to be old and male, to have low platelets, and to use lactulose. At inclusion, similar proportions of diabetic and non-diabetic patients were taking a quinolone antibiotic (13% vs. 12%) and they had similar median MELD scores (14 vs. 15). During the follow-up, 446 patients had an infection. Diabetes did not increase the HR of infections (adjusted HR 1.08; 95% CI 0.87–1.35). Further, diabetes did not increase the mortality following an infection (adjusted HR 0.93; 95% CI 0.64–1.35).

Conclusions

In patients with cirrhosis and ascites, diabetes did not increase infection risk or mortality after infection. The immune incompetence of each disease did not appear to be additive. In clinical terms, this means that particular attention to infections is not indicated in patients with cirrhosis and diabetes.

Lay summary

Cirrhosis and diabetes are chronic diseases that weaken the immune system and increase the risk of infections, but it is unknown whether their combined effects exceed the effect of cirrhosis alone. We showed that the risk of infections was the same in patients with cirrhosis, ascites and diabetes as in patients with cirrhosis and ascites alone. Thus, their combined effects do not exceed the effect of cirrhosis alone.

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Cirrhosis and diabetes both increase the risk of infections.

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In patients with cirrhosis, diabetes does not increase the risk of infection.

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In patients with cirrhosis, diabetes does not increase mortality among those infected.

[Role of the microbiome in chronic wounds]

BACKGROUND

The microbiome, collective microbial life in defined areas of the body, is of great importance.

OBJECTIVE

What is the significance of the wound microbiome in the treatment of chronic wounds? Which interactions exist with other microbiomes and which conclusions can be drawn for wound management?

MATERIALS AND METHODS

Swabs or debridement samples from wounds were analysed for microbial growth by culture or gene-based techniques. The genetic results are used to determine the wound microbiome. The pathogens were evaluated according to proportion of different species and related to different factors like type and location of wound, disease and underlying illnesses and to define the wound microbiome.

RESULTS

In comparison with conventional microbiological detection methods the wound microbiome comprises many more types and quantities of species. The wound microbiome is related to skin microbiome showing complex and time-dependent composition, as well as inter- and intraindividual differences. Diabetic wounds exhibit disease-related changes, e.g. staphylococcal species dominate whereas streptococcal species dominate in nondiabetic wounds.

CONCLUSIONS

The analysis of wound microbiome is still at an early stage; however it has already been shown that in hemodynamic disorders there are disease-specific relationships with the wound microbiome, which can also provide clues about the course of the disease. Phenomena from the skin microbiome should also be effective in wounds. In this context modern antimicrobial treatment options beyond conventional chemotherapy like colonization modulation become possible.

Diabetes Shared Care Program (DSCP) and risk of infection mortality: a nationwide cohort study using administrative claims data in Taiwan

OBJECTIVE

The Diabetes Shared Care Program (DSCP) is an integrated care model in Taiwan that has been proven to improve the care quality of patients with diabetes. We aimed to evaluate the efficacy of DSCP in decreasing the hospital mortality of infectious diseases.

METHODS

From 1 662 929 patients with type 2 diabetes newly diagnosed between 1999 and 2013, we retrieved a total of 919 patients who participated in the DSCP with the first hospitalisation for an infectious disease as the study cohort and 9190 propensity score-matched patients with type 2 diabetes who did not participate as the comparison.The efficacy of DSCP was evaluated via the following comparisons between the DSCP and non-DSCP cohorts: hospital mortality, 1-year medical cost prior to and during the hospitalisation, and complications, such as receiving mechanical ventilation and intensive care unit admission. The ratio (OR) for hospital mortality of the DSCP participants was calculated by logistical regression. Further stratification analyses were conducted to examine which group of patients with type 2 diabetes benefited the most from the DSCP during hospitalisation for infectious diseases.

RESULTS

The DSCP cohort had a lower hospital mortality rate than the non-DSCP participants (2.18% vs 4.82%, p<0.001). The total medical cost during the hospitalisation was lower in the DSCP cohort than in the non-DSCP cohort (NT$72 454±30 429 vs NT$86 385±29 350) (p=0.006). In the logistical regression model, the DSCP participants exhibited a significantly decreased adjusted OR for hospital mortality (adjusted OR=0.42, 95% CI 0.26 to 0.66, p=0.0002). The efficacy of the DSCP was much more prominent in male patients with type 2 diabetes and in patients with lower incomes.

CONCLUSION

Participation in the DSCP was associated with a lower risk of hospital mortality for infectious diseases.

Risk of Infection in Type 1 and Type 2 Diabetes Compared With the General Population: A Matched Cohort Study

OBJECTIVE

We describe in detail the burden of infections in adults with diabetes within a large national population cohort. We also compare infection rates between patients with type 1 and type 2 diabetes mellitus (T1DM and T2DM).

RESEARCH DESIGN AND METHODS

A retrospective cohort study compared 102,493 English primary care patients aged 40-89 years with a diabetes diagnosis by 2008 (n = 5,863 T1DM and n = 96,630 T2DM) with 203,518 age-sex-practice-matched control subjects without diabetes. Infection rates during 2008-2015, compiled from primary care and linked hospital and mortality records, were compared across 19 individual infection categories. These were further summarized as any requiring a prescription or hospitalization or as cause of death. Poisson regression was used to estimate incidence rate ratios (IRRs) between 1) people with diabetes and control subjects and 2) T1DM and T2DM adjusted for age, sex, smoking, BMI, and deprivation.

RESULTS

Compared with control subjects without diabetes, patients with diabetes had higher rates for all infections, with the highest IRRs seen for bone and joint infections, sepsis, and cellulitis. IRRs for infection-related hospitalizations were 3.71 (95% CI 3.27-4.21) for T1DM and 1.88 (95% CI 1.83-1.92) for T2DM. A direct comparison of types confirmed higher adjusted risks for T1DM versus T2DM (death from infection IRR 2.19 [95% CI 1.75-2.74]). We estimate that 6% of infection-related hospitalizations and 12% of infection-related deaths were attributable to diabetes.

CONCLUSIONS

People with diabetes, particularly T1DM, are at increased risk of serious infection, representing an important population burden. Strategies that reduce the risk of developing severe infections and poor treatment outcomes are under-researched and should be explored.

Antimicrobial resistance in women with urinary tract infection in primary care: No relation with type 2 diabetes mellitus

AIMS

To determine if type 2 diabetes mellitus (T2DM) is associated with the spectrum of uropathogens and antimicrobial resistance in urinary tract infections (UTI) in primary care.

METHODS

A cross-sectional study in female outpatients ≥30 years with positive urine cultures. T2DM patients were 1:1 matched to controls by age group and general practitioner (GP). GPs were sent questionnaires for additional data. Uropathogens and resistance patterns were compared between patients with and without T2DM. Multivariable regression analysis was performed to assess the independent association between T2DM and resistance to first line treatments, defined as resistance to nitrofurantoin, trimethoprim, fosfomycin, ciprofloxacin, amoxicillin/clavulanic acid and/or trimethoprim/sulfamethoxazole.

RESULTS

In 566 urine cultures, 680 uropathogens were found. Resistance to first line treatment antibiotics was present in 62.5% of patients. Frequencies and resistance rates of uropathogens did not differ between both groups of patients. Previous UTI and previous hospital admission were independent risk factors for resistance, but T2DM was not.

CONCLUSIONS

In this study T2DM was not an independent risk factor for antimicrobial resistance in UTI in primary care. Previous UTI and hospitalisation are drivers of resistance and should be included in the decision to perform a urine culture to target first line UTI treatment.

Quantifying the Effect of Diabetes on Surgical Hand and Forearm Infections

PURPOSE

Diabetes has long been established as a risk factor for hand and forearm infections. The purpose of this study was to review the effect of glycemic factors on outcomes among diabetic patients with surgical upper-extremity infections. We hypothesized that diabetic inpatients may benefit from stronger peri-infection glycemic control.

METHODS

A prospective cohort study enrolled diabetic and nondiabetic surgical hand and forearm infections over 3 years. Glycemic factors included baseline glycosylated hemoglobin, blood glucose (BG) at presentation, and inpatient BG. Poor baseline control was defined as glycosylated hemoglobin of 9.0% or greater and poor inpatient control as average BG of 180 mg/dL or greater. The main outcome of interest was the need for repeat therapeutic drainage. Multivariable logistic regression quantified the association between diabetic factors and this outcome.

RESULTS

The study involved 322 patients: 76 diabetic and 246 nondiabetic. Diabetic infections were more likely than nondiabetic infections to result from idiopathic mechanisms, occur in the forearm, and present as osteomyelitis, septic arthritis, and necrotizing fasciitis. Diabetic microbiology was more likely polymicrobial and fungal. After first drainage, diabetic patients were more likely to require repeat drainage and undergo eventual amputation. Among diabetic patients, poor inpatient control was associated with need for repeat drainage.

CONCLUSIONS

Diabetes exacerbates the burden of surgical upper-extremity infections: specifically, more proximal locations, deeper involved anatomy at presentation, broader pathogenic microbiology, increased need for repeat drainage, and higher risk for amputation. Among diabetic patients, poor inpatient glycemic control is associated with increased need for repeat drainage.

TYPE OF STUDY/LEVEL OF EVIDENCE

Prognostic I.

Prevalence and incidence of urinary tract and genital infections among patients with and without type 2 diabetes

OBJECTIVE

Epidemiological data on genitourinary infections (GUIs) comparing patients with and without type 2 diabetes (T2DM) is scant. We aimed to estimate the incidence of urinary tract infections (UTIs), genital infections (GIs), or any GUI in total and stratified by history of GUI and sex.

RESEARCH DESIGN AND METHODS

We identified 39,295 patients in the Kaiser Permanente Northwest health plan with T2DM and an equal number of age and sex matched patients without diabetes. The cohort was followed for up to 9years (2006-2014). We calculated incidence rates and corresponding 95% confidence intervals (CI) of any GUI, UTIs and GIs adjusting for age, sex, race, BMI, presence of chronic kidney disease, annual number of outpatient visits, and diuretic use.

RESULTS

Adjusted incidence of any GUI was 97.2/1000person-years (p-y) (95% CI 95.5-98.8) among the T2DM cohort vs. 79.7/1000 p-y (78.3-81.2) among those without diabetes. T2DM was associated with an adjusted 25% increased risk of UTI (rate ratio 1.25, 95% CI 1.22-1.29), a 26% increased risk of GI (1.26, 1.22-1.31) and a 22% increased risk of any GUI (1.22, 1.19-1.25). Incidence rates were lower among those with no GUI history, but the relative risks were similar. Women in both groups had higher incidence rates of GUIs than men.

CONCLUSIONS

T2DM was associated with increased risks of any GUI, UTIs and GIs. Incidence rates of UTIs were higher than rates of GIs, but the relative risk of GIs was essentially identical. A similar pattern was observed when stratifying by sex.

SIGNIFICANCE OF THE STUDY

RESEARCH QUESTIONS.

A longitudinal study of the diabetic skin and wound microbiome

Background

Type II diabetes is a chronic health condition which is associated with skin conditions including chronic foot ulcers and an increased incidence of skin infections. The skin microbiome is thought to play important roles in skin defence and immune functioning. Diabetes affects the skin environment, and this may perturb skin microbiome with possible implications for skin infections and wound healing. This study examines the skin and wound microbiome in type II diabetes.

Methods

Eight type II diabetic subjects with chronic foot ulcers were followed over a time course of 10 weeks, sampling from both foot skin (swabs) and wounds (swabs and debrided tissue) every two weeks. A control group of eight control subjects was also followed over 10 weeks, and skin swabs collected from the foot skin every two weeks. Samples were processed for DNA and subject to 16S rRNA gene PCR and sequencing of the V4 region.

Results

The diabetic skin microbiome was significantly less diverse than control skin. Community composition was also significantly different between diabetic and control skin, however the most abundant taxa were similar between groups, with differences driven by very low abundant members of the skin communities. Chronic wounds tended to be dominated by the most abundant skin Staphylococcus, while other abundant wound taxa differed by patient. No significant correlations were found between wound duration or healing status and the abundance of any particular taxa.

Discussion

The major difference observed in this study of the skin microbiome associated with diabetes was a significant reduction in diversity. The long-term effects of reduced diversity are not yet well understood, but are often associated with disease conditions.

Diabetes increases the risk of disease and death due to Staphylococcus aureus bacteremia. A matched case-control and cohort study

BACKGROUND

This study investigated the effect and influence of diabetes severity on susceptibility and 30-day mortality of Staphylococcus aureus bacteremia (SAB).

METHODS

Nationwide population-based study of individuals with SAB and matched population controls. Diabetes severity was categorized based on International Classification of Diseases codes and the odds ratio (OR) with 95% confidence intervals (CI) of SAB associated with diabetes was estimated by conditional logistic regression analysis. Hazard ratios (HR) were analyzed by Cox proportional regression. Analyses were adjusted for age, sex, comorbidity, hospital contact and diabetes duration.

RESULTS

Of 25,855 SAB cases, 2797 (10.8%) had diabetes and 2913 (11.3%) had diabetes with complications compared to 14,189 (5.5%) and 5499 (2.1%) of 258,547 controls. This corresponded to an increased risk of SAB associated with diabetes without complications (OR 1.83 (95% CI 1.74-1.92)) and of diabetes with complications (OR 3.62 (95% CI 3.43-3.81) compared to no diabetes. The risk of SAB was highest within the first year of diabetes. Diabetes without complications was associated with an increased risk of 30-day mortality (HR 1.62 (95% CI 1.01-2.60)) compared to no diabetes. Diabetes with complications was overall not associated with increased 30-d mortality (HR 1.36 (95% CI 0.84-2.20)) except for individuals with ketoacidosis/coma (HR 2.01 (95% 1.17-3.45)).

CONCLUSIONS

Diabetes, particularly, diabetes with complications significantly increased the risk of SAB. In contrast, there was an increased risk of 30-day mortality after SAB for diabetes without complications but not for diabetes with complications overall. Diabetes with ketoacidosis/coma conferred the highest relative risk of 30-day mortality.

Microbiological Etiology and Treatment of Complicated Skin and Skin Structure Infections in Diabetic and Nondiabetic Patients in a Population-Based Study

Background

Diabetes is a major risk factor for skin and skin structure infection (SSSI), and the global burden of diabetics with SSSI is enormous. The more complex microbiology of diabetic foot infection (DFI) is well established, but it is not known whether microbiological etiology differs between diabetics and nondiabetics in other disease entities under the umbrella of complicated SSSI (cSSSI).

Methods

This retrospective, population-based study included patients with cSSSI, and it was conducted in 2 Nordic cities with a low prevalence of antimicrobial resistance. In analyses, patients (N = 460) were separated into 3 groups: diabetics (n = 119), nondiabetics (n = 271), and patients with DFI (n = 70).

Results

After exclusion of patients with DFI, there was no difference in the microbiological etiology or initial antimicrobial treatment of cSSSI between diabetics and nondiabetics. Gram-positive bacteria encountered 70% of isolations in diabetics and 69% in nondiabetics, and the empirical treatment covered initial pathogens in 81% and 86% of patients, respectively. However, diabetes was the only background characteristic in the propensity score-adjusted analysis associated with broad-spectrum antimicrobial use and longer antibiotic treatment duration. Patients with DFI had Gram-negative and polymicrobial infection more often than nondiabetics.

Conclusions

These observations suggest that diabetics without DFI are not different in the causative agents of cSSSI, although they are more exposed to antimicrobial therapy of inappropriate extended spectrum and long duration. Broad-spectrum coverage was clearly needed only in DFI. A clear opportunity for antimicrobial stewardship was detected in the rapidly growing population of diabetic patients with cSSSI.

Second-line bismuth-containing quadruple therapy for Helicobacter pylori eradication and impact of diabetes

AIM

To investigate Helicobacter pylori (H. pylori) eradication rates using second-line bismuth-containing quadruple therapy and to identify predictors of eradication failure.

METHODS

This study included 636 patients who failed first-line triple therapy and received 7 d of bismuth-containing quadruple therapy between January 2005 and December 2015. We retrospectively demonstrated H. pylori eradication rates with respect to the year of therapy as well as demographic and clinical factors. H. pylori eradication was confirmed by a 13C-urea breath test or a rapid urease test at least 4 wk after the completion of bismuth-based quadruple therapy: proton pump inhibitor, metronidazole, bismuth, and tetracycline.

RESULTS

The overall eradication rates by intention-to-treat analysis and per-protocol analysis were 73.9% (95%CI: 70.1%-77.4%) and 94.5% (95%CI: 92.4%-96.5%), respectively. Annual eradication rates from 2005 to 2015 were 100.0%, 92.9%, 100.0%, 100.0%, 100.0%, 97.4%, 100.0%, 93.8%, 84.4%, 98.9%, and 92.5%, respectively, by per-protocol analysis. A multivariate analysis showed that diabetes mellitus (OR = 3.99, 95%CI: 1.56-10.20, P = 0.004) was associated with H. pylori eradication therapy failure.

CONCLUSION

The second-line bismuth-containing quadruple therapy for H. pylori infection is still effective in Korea, and diabetes mellitus is suggested to be a risk factor for eradication failure.