Therapies for Psoriasis: Clinical and Economic Comparisons.

BACKGROUND: Clinical and economic comparisons of therapies for plaque psoriasis are regularly updated following each new devel- opment in the field. With the recent availability of a novel accessory (Multi Micro DoseTM [MMD®] tip) for the 308nm excimer laser (XTRAC®, Strata Skin Sciences, Horsham, PA), which can determine and deliver an optimal therapeutic dose (OTDTM) of ultraviolet-B light in an improved protocol, the need for comparative health-economic assessment recurs. To this end, a comprehensive evaluation of treatment-related costs was undertaken from the payer perspective. Results show that outcomes are influenced by many factors; most importantly, the severity and extent of disease, treatment selection, and patient preference, as well as compliance, adherence, and persistence with care. Among study comparators, the 308nm excimer laser – XTRAC – with its latest MMD enhancement, is safe and delivers incremental clinical benefits with the potential for significant cost savings. These benefits are particularly relevant today in the context of SARS-CoV-2 virus and the COVid-19 pandemic. J Drugs Dermatol. 2020;19(11):1101-1108. doi:10.36849/JDD.2020.5510.

Development and validation of a continuously age-adjusted measure of patient condition for hospitalized children using the electronic medical record.

Awareness of a patient's clinical status during hospitalization is a primary responsibility for hospital providers. One tool to assess status is the Rothman Index (RI), a validated measure of patient condition for adults, based on empirically derived relationships between 1-year post-discharge mortality and each of 26 clinical measurements available in the electronic medical record. However, such an approach cannot be used for pediatrics, where the relationships between risk and clinical variables are distinct functions of patient age, and sufficient 1-year mortality data for each age group simply do not exist. We report the development and validation of a new methodology to use adult mortality data to generate continuously age-adjusted acuity scores for pediatrics. Clinical data were extracted from EMRs at three pediatric hospitals covering 105,470 inpatient visits over a 3-year period. The RI input variable set was used as a starting point for the development of the pediatric Rothman Index (pRI). Age-dependence of continuous variables was determined by plotting mean values versus age. For variables determined to be age-dependent, polynomial functions of mean value and mean standard deviation versus age were constructed. Mean values and standard deviations for adult RI excess risk curves were separately estimated. Based on the "find the center of the channel" hypothesis, univariate pediatric risk was then computed by applying a z-score transform to adult mean and standard deviation values based on polynomial pediatric mean and standard deviation functions. Multivariate pediatric risk is estimated as the sum of univariate risk. Other age adjustments for categorical variables were also employed. Age-specific pediatric excess risk functions were compared to age-specific expert-derived functions and to in-hospital mortality. AUC for 24-h mortality and pRI scores prior to unplanned ICU transfers were computed. Age-adjusted risk functions correlated well with similar functions in Bedside PEWS and PAWS. Pediatric nursing data correlated well with risk as measured by mortality odds ratios. AUC for pRI for 24-h mortality was 0.93 (0.92, 0.94), 0.93 (0.93, 0.93) and 0.95 (0.95, 0.95) at the three pediatric hospitals. Unplanned ICU transfers correlated with lower pRI scores. Moreover, pRI scores declined prior to such events. A new methodology to continuously age-adjust patient acuity provides a tool to facilitate timely identification of physiologic deterioration in hospitalized children.

The syndromic triad of COVID-19, type 2 diabetes, and malnutrition.

The coronavirus disease 2019 (COVID-19) pandemic challenges our collective understanding of transmission, prevention, complications, and clinical management of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Risk factors for severe infection, morbidity, and mortality are associated with age, environment, socioeconomic status, comorbidities, and interventional timing. Clinical investigations report an intriguing association of COVID-19 with diabetes mellitus and malnutrition but incompletely describe the triphasic relationship, its mechanistic pathways, and potential therapeutic approaches to address each malady and their underlying metabolic disorders. This narrative review highlights common chronic disease states that interact epidemiologically and mechanistically with the COVID-19 to create a syndromic phenotype-the COVID-Related Cardiometabolic Syndrome-linking cardiometabolic-based chronic disease drivers with pre-, acute, and chronic/post-COVID-19 disease stages. Since the association of nutritional disorders with COVID-19 and cardiometabolic risk factors is well established, a syndromic triad of COVID-19, type 2 diabetes, and malnutrition is hypothesized that can direct, inform, and optimize care. In this review, each of the three edges of this network is uniquely summarized, nutritional therapies discussed, and a structure for early preventive care proposed. Concerted efforts to identify malnutrition in patients with COVID-19 and elevated metabolic risks are needed and can be followed by improved dietary management while simultaneously addressing dysglycemia-based chronic disease and malnutrition-based chronic disease.

Transcultural diabetes nutrition therapy algorithm: the Asian Indian application.

India and other countries in Asia are experiencing rapidly escalating epidemics of type 2 diabetes (T2D) and cardiovascular disease. The dramatic rise in the prevalence of these illnesses has been attributed to rapid changes in demographic, socioeconomic, and nutritional factors. The rapid transition in dietary patterns in India-coupled with a sedentary lifestyle and specific socioeconomic pressures-has led to an increase in obesity and other diet-related noncommunicable diseases. Studies have shown that nutritional interventions significantly enhance metabolic control and weight loss. Current clinical practice guidelines (CPGs) are not portable to diverse cultures, constraining the applicability of this type of practical educational instrument. Therefore, a transcultural Diabetes Nutrition Algorithm (tDNA) was developed and then customized per regional variations in India. The resultant India-specific tDNA reflects differences in epidemiologic, physiologic, and nutritional aspects of disease, anthropometric cutoff points, and lifestyle interventions unique to this region of the world. Specific features of this transculturalization process for India include characteristics of a transitional economy with a persistently high poverty rate in a majority of people; higher percentage of body fat and lower muscle mass for a given body mass index; higher rate of sedentary lifestyle; elements of the thrifty phenotype; impact of festivals and holidays on adherence with clinic appointments; and the role of a systems or holistic approach to the problem that must involve politics, policy, and government. This Asian Indian tDNA promises to help guide physicians in the management of prediabetes and T2D in India in a more structured, systematic, and effective way compared with previous methods and currently available CPGs.

Transculturalization of a diabetes-specific nutrition algorithm: Asian application.

The prevalence of type 2 diabetes (T2D) in Asia is growing at an alarming rate, posing significant clinical and economic risk to health care stakeholders. Commonly, Asian patients with T2D manifest a distinctive combination of characteristics that include earlier disease onset, distinct pathophysiology, syndrome of complications, and shorter life expectancy. Optimizing treatment outcomes for such patients requires a coordinated inclusive care plan and knowledgeable practitioners. Comprehensive management starts with medical nutrition therapy (MNT) in a broader lifestyle modification program. Implementing diabetes-specific MNT in Asia requires high-quality and transparent clinical practice guidelines (CPGs) that are regionally adapted for cultural, ethnic, and socioeconomic factors. Respected CPGs for nutrition and diabetes therapy are available from prestigious medical societies. For cost efficiency and effectiveness, health care authorities can select these CPGs for Asian implementation following abridgement and cultural adaptation that includes: defining nutrition therapy in meaningful ways, selecting lower cutoff values for healthy body mass indices and waist circumferences (WCs), identifying the dietary composition of MNT based on regional availability and preference, and expanding nutrition therapy for concomitant hypertension, dyslipidemia, overweight/obesity, and chronic kidney disease. An international task force of respected health care professionals has contributed to this process. To date, task force members have selected appropriate evidence-based CPGs and simplified them into an algorithm for diabetes-specific nutrition therapy. Following cultural adaptation, Asian and Asian-Indian versions of this algorithmic tool have emerged. The Asian version is presented in this report.

Diabetes-specific nutrition algorithm: a transcultural program to optimize diabetes and prediabetes care.

Type 2 diabetes (T2D) and prediabetes have a major global impact through high disease prevalence, significant downstream pathophysiologic effects, and enormous financial liabilities. To mitigate this disease burden, interventions of proven effectiveness must be used. Evidence shows that nutrition therapy improves glycemic control and reduces the risks of diabetes and its complications. Accordingly, diabetes-specific nutrition therapy should be incorporated into comprehensive patient management programs. Evidence-based recommendations for healthy lifestyles that include healthy eating can be found in clinical practice guidelines (CPGs) from professional medical organizations. To enable broad implementation of these guidelines, recommendations must be reconstructed to account for cultural differences in lifestyle, food availability, and genetic factors. To begin, published CPGs and relevant medical literature were reviewed and evidence ratings applied according to established protocols for guidelines. From this information, an algorithm for the nutritional management of people with T2D and prediabetes was created. Subsequently, algorithm nodes were populated with transcultural attributes to guide decisions. The resultant transcultural diabetes-specific nutrition algorithm (tDNA) was simplified and optimized for global implementation and validation according to current standards for CPG development and cultural adaptation. Thus, the tDNA is a tool to facilitate the delivery of nutrition therapy to patients with T2D and prediabetes in a variety of cultures and geographic locations. It is anticipated that this novel approach can reduce the burden of diabetes, improve quality of life, and save lives. The specific Southeast Asian and Asian Indian tDNA versions can be found in companion articles in this issue of Current Diabetes Reports.

Diabetes-Specific Nutrition Formulas in the Management of Patients with Diabetes and Cardiometabolic Risk.

Food-based dietary management, enhanced with evidence-based commercial products, such as diabetes-specific nutrition formulas (DSNFs), can help control the development, progression, and severity of certain chronic diseases. In this review, evidence is detailed on the use of DSNFs in patients with or at risk for diabetes and cardiometabolic-based chronic disease. Many DSNF strategies target glycemic excursions and cardiovascular physiology, taking into account various elements of healthy eating patterns. Nevertheless, significant research, knowledge, and practice gaps remain. These gaps are actionable in terms of formulating and testing relevant and pragmatic research questions, developing an educational program for the uniform distribution of information, and collaboratively writing clinical practice guidelines that incorporate the evidence base for DSNF. In sum, the benefits of DNSF as part of validated clinical practice algorithms include mitigation of chronic disease progression, cost-savings for the healthcare system, and applicability on a global scale.

Loss of confidence in diabetes management.

UNLABELLED: Using current treatment approaches, many patients with type 2 diabetes do not achieve glycemic goals--and do experience macrovascular complications that contribute to morbidity and mortality. It's time to consider other options. IMPLICATIONS: Aggressive therapeutic interventions aimed at insulin resistance and cell dysfunction may alter outcomes. Managed care organizations may need to modify the way they look at diabetes and should consider changing their focus from drug costs to wellness. Value-based insurance design may provide opportunities to optimize diabetes management, resulting in improved outcomes for patients and economic benefits for managed care organizations.

Sepsis as 2 problems: Identifying sepsis at admission and predicting onset in the hospital using an electronic medical record-based acuity score.

PURPOSE: Early identification and treatment improve outcomes for patients with sepsis. Current screening tools are limited. We present a new approach, recognizing that sepsis patients comprise 2 distinct and unequal populations: patients with sepsis present on admission (85%) and patients who develop sepsis in the hospital (15%) with mortality rates of 12% and 35%, respectively. METHODS: Models are developed and tested based on 258 836 adult inpatient records from 4 hospitals. A "present on admission" model identifies patients admitted to a hospital with sepsis, and a "not present on admission" model predicts postadmission onset. Inputs include common clinical measurements and the Rothman Index. Sepsis was determined using International Classification of Diseases, Ninth Revision, codes. RESULTS: For sepsis present on admission, area under the curves ranged from 0.87 to 0.91. Operating points chosen to yield 75% and 50% sensitivity achieve positive predictive values of 17% to 25% and 29% to 40%, respectively. For sepsis not present on admission, at 65% sensitivity, positive predictive values ranged from 10% to 20% across hospitals. CONCLUSIONS: This approach yields good to excellent discriminatory performance among adult inpatients for predicting sepsis present on admission or developed within the hospital and may aid in the timely delivery of care.

Longitudinal assessment of the dose consistency of botulinum toxin type A (BOTOX) for cervical dystonia.

Botulinum toxin type A (BoNT/A) is the principal therapy for patients with cervical dystonia. Repeated treatments over many years are required in most cases. This retrospective review evaluates the dose of BoNT/A used to treat cervical dystonia and the interval between treatments during a 2-year observation period. Outcomes data were abstracted from the medical records of 172 patients at 3 different sites who had received BoNT/A between January and December 1998. A total of 1059 treatments were assessed. Mean per-treatment doses throughout the 2-year study ranged from 241.80 to 254.07 units. The mean interval between treatments was 108.48 days during the first year of observation and 114.14 days during the second year. These findings indicate that doses of and intervals between BoNT/A treatments for cervical dystonia were consistent throughout 2 years of observation.

Treatments for mild-to-moderate recalcitrant plaque psoriasis: expected clinical and economic outcomes for first-line and second-line care.

The cost effectiveness of treatments for psoriasis has been evaluated previously by several different investigators. Such evaluations should be updated as new products or data become available. To this end, a comparison of expected treatment-related clinical and economic outcomes is undertaken from the payer perspective using a disease-intervention model, decision analyses, and newly emergent information. The model is based on academy guidelines and recommended clinical practice. Model inputs (clinical and cost data) are culled from the medical literature and advisory clinical assessment surveys. Comparable therapies are various topical pharmacotherapies and phototherapies, including the 308-nm excimer laser (XTRAC, PhotoMedex, Montgomeryville, PA). Analytic results indicate that clinical and economic outcomes are influenced by treatment selections but are muted by the rotational nature of treatment regimens. Multiple analyses are required to reveal individual product performance. On the basis of these analyses, the addition of the 308-nm excimer laser to the rotational mix of treatments commonly utilized as second-line therapies for mild-to-moderate plaque psoriasis is expected to add incremental clinical benefit for patients without incremental cost for payers, because the laser can replace both more costly and less costly alternatives for appropriately selected patients who require a different therapeutic modality to maintain or improve their responsiveness.

Transcultural Diabetes Nutrition Algorithm: Brazilian Application.

The prevalence of obesity, pre-diabetes, and type 2 diabetes (T2D) is increasing worldwide, especially in the developing nations of South America. Brazil has experienced an exponential increase in the prevalence of these chronic non-communicable diseases. The rising prevalence is probably due to changing eating patterns, sedentary living, and a progressive aging of the population. These trends and their underlying causes carry untoward consequences for all Brazilians and the future of Brazilian public health and the healthcare system. Lifestyle changes that include healthy eating (nutrition therapy) and regular physical activity (structured exercise) represent efficient inexpensive measures to prevent and/or treat the aforementioned disorders and are recommended for all afflicted patients. Regrettably, the implementation of lifestyle changes is fraught with clinical and personal challenges in real life. The transcultural Diabetes Nutrition Algorithm (tDNA) is a therapeutic tool intended to foster implementation of lifestyle recommendations and to improve disease-related outcomes in common clinical settings. It is evidence-based and amenable to cultural adaptation. The Brazilian Diabetes Association, Society of Cardiology and Ministry of Health guidelines for nutrition therapy and physical exercise were considered for the Brazilian adaptation. The resultant tDNA-Brazil and its underlying recommendations are presented and explained.

Multicenter retrospective assessment of thiazolidinedione monotherapy and combination therapy in patients with type 2 diabetes: comparative subgroup analyses of glycemic control and blood lipid levels.

BACKGROUND: Thiazolidinediones (TZDs) have contributed to the management of patients with type 2 diabetes mellitus as unique insulin-sensitizing agents. When used as monotherapy or in combination therapy, these drugs not only reduce glycosylated hemoglobin (HbA(1c)) levels, but also effect changes in blood lipid concentrations and have the potential to ameliorate cardiovascular disease risk. Although drugs in the TZD class are perceived to be equivalent clinically, prospective and retrospective studies have demonstrated their ability to modify blood lipid levels. OBJECTIVE: We evaluated and compared the effects of pioglitazone and rosiglitazone monotherapy and combination therapy on blood lipid levels and HbA(1c) in patients with type 2 diabetes. METHODS: We conducted a multicenter retrospective chart review of 1115 records of patients with type 2 diabetes who received pioglitazone or rosiglitazone, alone or in combination with other antidiabetic agents, between August 1, 1999, and August 31, 2000. The review was conducted to evaluate pretreatment and posttreatment levels of triglyceride, total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and HbA(1c). RESULTS: All observed demographic characteristics, comorbidities, and concomitant drug use were similar in both treatment cohorts. Of the patients who received pioglitazone, 83% also received >/=1 other antihyperglycemic agent and 59% received some form of antihyperlipidemic therapy. Among those who received rosiglitazone, 81% received concomitant antihyperglycemic medication and 60% received some form of antihyperlipidemic therapy. With pioglitazone, mean levels of serum triglyceride, total cholesterol, and LDL-C decreased and HDL-C increased in most patients, with or without concomitant antihyperglycemic medications; with rosiglitazone, with or without other antidiabetic agents, triglyceride and HDL-C levels decreased, whereas total cholesterol and LDL-C levels increased in most patients. Reductions in HbA(1c) levels and increases in body weight related to each study drug were comparable. CONCLUSIONS: This comparative assessment of pioglitazone and rosiglitazone, based on observational data, reveals that use of these TZDs with other antidiabetic agents was similar in 605 primary care practices in the United States. In both monotherapy and combination treatment regimens, pioglitazone was associated with greater beneficial effects on lipids than was rosiglitazone. Additional studies are needed to determine the long-term outcomes of TZD therapy with concomitant antihyperglycemic medications.

Effects of pioglitazone and rosiglitazone on blood lipid levels and glycemic control in patients with type 2 diabetes mellitus: a retrospective review of randomly selected medical records.

BACKGROUND: The antihyperglycemic effects of pioglitazone hydrochloride and rosiglitazone maleate are well documented. The results of clinical trials and observational studies have suggested, however, that there are individual differences in the effects of these drugs on blood lipid levels. OBJECTIVE: The present study evaluated the effects of pioglitazone and rosiglitazone on blood lipid levels and glycemic control in patients with type 2 diabetes mellitus. METHODS: This was a retrospective review of randomly selected medical records from 605 primary care practices in the United States in which adults with type 2 diabetes received pioglitazone or rosiglitazone between August 1, 1999, and August 31, 2000. The outcome measures were mean changes in serum concentrations of triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and glycosylated hemoglobin (HbA1c) values. RESULTS: Treatment with pioglitazone was associated with a reduction in mean TG of 55.17 mg/dL, a reduction in TC of 8.45 mg/dL, an increase in HDL-C of 2.65 mg/dL, and a reduction in LDL-C of 5.05 mg/dL. Treatment with rosiglitazone was associated with a reduction in mean TG of 13.34 mg/dL, an increase in TC of 4.81 mg/dL, a reduction in HDL-C of 0.12 mg/dL, and an increase in LDL-C of 3.56 mg/dL. With the exception of HDL-C, the differences in mean changes in lipid parameters between treatment groups were statistically significant (P < 0.001, pioglitazone vs rosiglitazone). Reductions in HbA1c were statistically equivalent between treatments (1.04% pioglitazone, 1.18% rosiglitazone). CONCLUSIONS: Treatment with pioglitazone was associated with greater beneficial effects on blood lipid levels than treatment with rosiglitazone, whereas glycemic control was equivalent between the 2 treatments.

Impact of adjunctive thiazolidinedione therapy on blood lipid levels and glycemic control in patients with type 2 diabetes.

OBJECTIVE: This study was undertaken to assess the effect of pioglitazone hydrochloride and rosiglitazone maleate on blood lipid levels and glycemic control when these drugs are used as adjunctive therapy in type 2 diabetes. RESEARCH DESIGN AND METHODS: Patients with type 2 diabetes receiving metformin and/or sulfonylurea (n = 829) were evaluated in this national, multicenter, retrospective study. Medical records from 318 endocrinology practices in the USA were randomly selected and screened for study inclusion. Data related to patient demographics and laboratory data were extracted from medical records and analyzed for primary and secondary outcomes. MAIN OUTCOME MEASURES: The primary study outcome was the mean change in plasma rosiglitazone was associated with no significant triglyceride (TG) levels. Secondary outcome measures included mean changes in total cholesterol (TChol), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) concentrations and hemoglobin A1C levels. RESULTS: With pioglitazone, TG levels declined by a mean of 51.5 mg/dl (P < 0.001), HDL-C levels rose by 3.3mg/dl (P < 0.001), and no change was seen in LDL-C or TChol. Treatment with change in TG levels and a 1.5mg/dl mean increase in HDL-C (P < 0.001). Furthermore, rosiglitazone therapy was associated with an 8 mg/dl mean increase in TChol (P < 0.001), and a 5.8 mg/dl mean increase in LDL-C (P < 0.001). Hemoglobin A1C levels were significantly reduced by approximately 1% within thiazolidinedione (TZD) cohorts (P < 0.001), but were not significantly different between study groups (P = 0.257). CONCLUSIONS: Results from this study suggest that pioglitazone has a more favorable effect on lipid profiles of patients with type 2 diabetes compared with rosiglitazone. In particular, differences were observed in TG and LDL-C levels. Both TZDs were equivalent at reducing hemoglobin A1C levels. These differences in lipid effects may have an impact on cardiovascular outcomes. The full clinical importance of these lipid alterations must be further assessed in prospective trials.

The transcultural diabetes nutrition algorithm toolkit: survey and content validation in the United States, Mexico, and Taiwan.

BACKGROUND: Evidence demonstrates that medical nutrition therapy (MNT) in prediabetes and type 2 diabetes (T2D) improves glycemic control and reduces diabetes risks and complications. Consequently, MNT is included in current clinical practice guidelines. Guideline recommendations, however, are frequently limited by their complexity, contradictions, personal and cultural rigidity, and compromised portability. The transcultural Diabetes Nutrition Algorithm (tDNA) was developed to overcome these limitations. To facilitate tDNA uptake and usage, an instructional Patient Algorithm Therapy (PATh) toolkit was created. Content validation of tDNA-PATh is needed before widespread implementation. SUBJECTS AND METHODS: Healthcare providers (n=837) in Mexico (n=261), Taiwan (n=250), and the United States (n=326) were questioned about challenges implementing MNT in clinical practice and the projected utilization and impact of tDNA-PATh. To assess the international portability and applicability of tDNA-PATh, the survey was conducted in countries with distinct ethnic and cultural attributes. Potential respondents were screened for professional and practice demographics related to diabetes. The questionnaire was administered electronically after respondents were exposed to core tDNA-PATh components. RESULTS: Overall, 61% of respondents thought that tDNA-PATh could help overcome MNT implementation challenges, 91% indicated positive impressions, 83% believed they would adopt tDNA-PATh, and 80% thought tDNA-PATh would be fairly easy to implement. CONCLUSIONS: tDNA-PATh appears to be an effective culturally sensitive tool to foster MNT in clinical practice. By providing simple culturally specific instructions, tDNA-PATh may help to overcome current impediments to implementing recommended lifestyle modifications. Specific guidance provided by tDNA-PATh, together with included patient education materials, may increase healthcare provider efficiency.

Transcultural diabetes nutrition algorithm (tDNA): Venezuelan application.

Medical nutrition therapy (MNT) is a necessary component of comprehensive type 2 diabetes (T2D) management, but optimal outcomes require culturally-sensitive implementation. Accordingly, international experts created an evidence-based transcultural diabetes nutrition algorithm (tDNA) to improve understanding of MNT and to foster portability of current guidelines to various dysglycemic populations worldwide. This report details the development of tDNA-Venezuelan via analysis of region-specific cardiovascular disease (CVD) risk factors, lifestyles, anthropometrics, and resultant tDNA algorithmic modifications. Specific recommendations include: screening for prediabetes (for biochemical monitoring and lifestyle counseling); detecting obesity using Latin American cutoffs for waist circumference and Venezuelan cutoffs for BMI; prescribing MNT to people with prediabetes, T2D, or high CVD risk; specifying control goals in prediabetes and T2D; and describing regional differences in prevalence of CVD risk and lifestyle. Venezuelan deliberations involved evaluating typical food-based eating patterns, correcting improper dietary habits through adaptation of the Mediterranean diet with local foods, developing local recommendations for physical activity, avoiding stigmatizing obesity as a cosmetic problem, avoiding misuse of insulin and metformin, circumscribing bariatric surgery to appropriate indications, and using integrated health service networks to implement tDNA. Finally, further research, national surveys, and validation protocols focusing on CVD risk reduction in Venezuelan populations are necessary.

The transcultural diabetes nutrition algorithm: a canadian perspective.

The Transcultural Diabetes Nutrition Algorithm (tDNA) is a clinical tool designed to facilitate implementation of therapeutic lifestyle recommendations for people with or at risk for type 2 diabetes. Cultural adaptation of evidence-based clinical practice guidelines (CPG) recommendations is essential to address varied patient populations within and among diverse regions worldwide. The Canadian version of tDNA supports and targets behavioural changes to improve nutritional quality and to promote regular daily physical activity consistent with Canadian Diabetes Association CPG, as well as channelling the concomitant management of obesity, hypertension, dyslipidemia, and dysglycaemia in primary care. Assessing glycaemic index (GI) (the ranking of foods by effects on postprandial blood glucose levels) and glycaemic load (GL) (the product of mean GI and the total carbohydrate content of a meal) will be a central part of the Canadian tDNA and complement nutrition therapy by facilitating glycaemic control using specific food selections. This component can also enhance other metabolic interventions, such as reducing the need for antihyperglycaemic medication and improving the effectiveness of weight loss programs. This tDNA strategy will be adapted to the cultural specificities of the Canadian population and incorporated into the tDNA validation methodology.

Economic burden of healthcare-associated infection in US acute care hospitals: societal perspective.

BACKGROUND: Assessing the costs of healthcare-associated infection (HAI) is challenging. Methodological issues abound. Previous estimates have been derived in diverse ways from varied perspectives in different settings with dissimilar data. RESULTS can be confusing. Full societal costs, which are more inclusive than commonly reported direct hospital costs, have never been fully measured or reported. OBJECTIVE: To update, combine, and expand previous cost estimates to determine the annual societal burden of illness (direct medical, non-medical, and indirect costs) arising from HAIs in US acute-care hospitals. METHODS: The research approach encompassed literature and internet searches; reference identification, selection, and review; then data abstraction, compilation, and analyses to estimate full societal costs. Previously published systemic reviews, surveillance reports, and individual clinical studies, along with newly computed component costs, all contributed to final estimates. RESULTS: HAIs in US acute-care hospitals lead to direct and indirect costs totaling $96-$147 billion annually. These results are subject to the same limitations as previous studies from which contributing data were derived. CONCLUSION: The enormous clinical and economic burden of infection places HAIs high on the list of devastating and costly illnesses, such as cancer, heart attack, stroke, and diabetes, thereby mandating further research and greater efforts to contain a pressing healthcare problem.

Transcultural diabetes nutrition algorithm: a malaysian application.

Glycemic control among patients with prediabetes and type 2 diabetes mellitus (T2D) in Malaysia is suboptimal, especially after the continuous worsening over the past decade. Improved glycemic control may be achieved through a comprehensive management strategy that includes medical nutrition therapy (MNT). Evidence-based recommendations for diabetes-specific therapeutic diets are available internationally. However, Asian patients with T2D, including Malaysians, have unique disease characteristics and risk factors, as well as cultural and lifestyle dissimilarities, which may render international guidelines and recommendations less applicable and/or difficult to implement. With these thoughts in mind, a transcultural Diabetes Nutrition Algorithm (tDNA) was developed by an international task force of diabetes and nutrition experts through the restructuring of international guidelines for the nutritional management of prediabetes and T2D to account for cultural differences in lifestyle, diet, and genetic factors. The initial evidence-based global tDNA template was designed for simplicity, flexibility, and cultural modification. This paper reports the Malaysian adaptation of the tDNA, which takes into account the epidemiologic, physiologic, cultural, and lifestyle factors unique to Malaysia, as well as the local guidelines recommendations.