Diagnosis and treatment of drug-resistant tuberculosis (DR-TB) is undergoing substantial changes, owing availability of new diagnostic tools and drugs, coupled with global underdiagnosis and undertreatment. Recent developments are reviewed.Molecular diagnostics, for Mycobacterium tuberculosis complex detection and prediction of drug resistance, implemented in the last decade, accelerated TB diagnosis with improved case detection. Nevertheless, access and coverage of drug-resistance testing remain insufficient. Genome sequencing-based technologies, based on targeted next-generation sequencing show early potential to mitigate some of the challenges in the future. The recommendation to use an all oral, bedaquiline based regimen for treatment of multidrug-resistant/rifampicin-resistant TB is major advancement in DR-TB care. TB regimen using new and repurposed TB drugs demonstrate in recent clinical trials like, NIX-TB, ZeNIX and TB PRACTECAL considerable treatment success, shorten treatment duration and reduce toxicity. Their optimal use is threatened by the rapid occurrence and spread of strains, resistant to new drugs. Children benefit only very slowly from the progress.There is notable progress in improved diagnosis and treatment of drug-resistant TB, but complicated by the COVID-19 pandemic the majority of TB patients worldwide don't have (yet) access to the advances.Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.

This initiative is focused on building a global consensus around core diagnostic criteria for malnutrition in adults in clinical settings.In January 2016, the Global Leadership Initiative on Malnutrition (GLIM) was convened by several of the major global clinical nutrition societies. GLIM appointed a core leadership committee and a supporting working group with representatives bringing additional global diversity and expertise. Empirical consensus was reached through a series of face-to-face meetings, telephone conferences, and e-mail communications.A two-step approach for the malnutrition diagnosis was selected, i.e., first screening to identify "at risk" status by the use of any validated screening tool, and second, assessment for diagnosis and grading the severity of malnutrition. The malnutrition criteria for consideration were retrieved from existing approaches for screening and assessment. Potential criteria were subjected to a ballot among the GLIM core and supporting working group members. The top five ranked criteria included three phenotypic criteria (non-volitional weight loss, low body mass index, and reduced muscle mass) and two etiologic criteria (reduced food intake or assimilation, and inflammation or disease burden). To diagnose malnutrition at least one phenotypic criterion and one etiologic criterion should be present. Phenotypic metrics for grading severity as Stage 1 (moderate) and Stage 2 (severe) malnutrition are proposed. It is recommended that the etiologic criteria be used to guide intervention and anticipated outcomes. The recommended approach supports classification of malnutrition into four etiology-related diagnosis categories.A consensus scheme for diagnosing malnutrition in adults in clinical settings on a global scale is proposed. Next steps are to secure further collaboration and endorsements from leading nutrition professional societies, to identify overlaps with syndromes like cachexia and sarcopenia, and to promote dissemination, validation studies, and feedback. The diagnostic construct should be re-considered every 3-5 years.Copyright © 2018 Elsevier Ltd, European Society for Clinical Nutrition and Metabolism and American Society for Parenteral and Enteral Nutrition. Published by Elsevier Ltd.. All rights reserved.

The diagnosis of malnutrition remains a significant challenge despite various published diagnostic criteria. In 2018, the Global Leadership Initiative on Malnutrition (GLIM) published a set of evidence-based criteria as a framework for malnutrition diagnosis in adults. A scoping review was conducted to understand how the GLIM criteria have been used in published literature and compare the reported validation methods to published validation guidance.Dialog and Dimensions databases were searched by publication date (January 1, 2019, through January 29, 2021). Data were extracted and mapped to the research objectives.Seventy-nine studies were reviewed; 32% were in patients at least 65 years of age; 67% occurred in hospitals. The majority were cohort studies (61%). Fifty-seven percent employed all 5 GLIM criteria. Regarding phenotypic criteria, 92% used low BMI, and 45% applied anthropometry as a marker for muscle mass, of which 54% used calf circumference. Regarding etiologic criteria, 72% used reduced food intake/assimilation, and 85% applied inflammation/disease burden. Validation of GLIM criteria was described in 77% of publications.The GLIM criteria have been studied extensively since their publication. Low BMI was the phenotypic criterion used most often, whereas both reduced food intake/assimilation and inflammation/disease burden were frequently employed as the etiologic criteria. However, how the criteria were combined and how validation was conducted were not clear in most studies. Adequately powered, methodologically sound validation studies using the complete GLIM criteria are needed in various patient populations and disease settings to assess validity for the diagnosis of malnutrition.Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Antimicrobial resistance is a major public health problem globally. Likewise, forms of tuberculosis (TB) resistant to first- and second-line TB medicines present a major challenge for patients, healthcare workers and healthcare services. In November 2019, the World Health Organization (WHO) convened an independent international expert panel to review new evidence on the treatment of multidrug- (MDR) and rifampicin-resistant (RR) TB, using the Grading of Recommendations Assessment, Development and Evaluation approach.

Background: Malnutrition is frequently observed in patients with pulmonary tuberculosis (TB). The present study aimed to examine the relationship between nutritional status using Malnutrition Universal Screening Tool (MUST) and the mortality of patients with pulmonary TB.;Methods: Fifty-seven patients with pulmonary TB were analyzed. Nutrition assessment was carried out using MUST. The Cox proportional hazard model was applied to assess the ability of MUST to predict prognosis. Receiver operating characteristic curve analysis was used to assess MUST score as a prognostic indicator in pulmonary TB patients. To obtain optimal cut-off values for MUST score for prognostic assessment in TB patients, we used the maximum Youden Index.;Results: For predicting the risk of mortality, the optimal cut-off value for MUST score was 3.5. Univariate and multivariate analyses identified age and MUST score >= 4 as significant independent prognostic factors for survival. The patients with MUST score <= 3 had a median survival of 481 days (95% CI: 453 to 510) and that for the patients with MUST score >= 4 was 304 days (95% CI: 214 to 394); the difference was statistically significant (P = 0.001).;Conclusion: MUST appears to be a reliable tool for nutritional risk assessment of patients with pulmonary TB. In addition, MUST may be a useful prognostic indicator of survival in patients with pulmonary TB.

Nutrition plays a major role in the management of both acute and chronic diseases, in terms of body's response to the pathogenic organism. An array of nutrients like macro and micro-nutrients, vitamins, etc., are associated with boosting the host's immune responses against intracellular pathogens including mycobacterium tuberculosis (M. tb). These nutrients have an immunomodulatory effects in controlling the infection and inflammation process and nutritional deficiency of any form, i.e., malnutrition may lead to nutritionally acquired immunodeficiency syndrome, which greatly increases an individual's susceptibility to progression of infection to disease. This narrative review looks at the various mechanisms by which nutrition or its deficiency leads to impaired cell mediated and humoral immune responses, which in turn affects the ability of an individual to fight M. tb infection or disease. There is very little evidence in the literature that any specific food on its own or a specific quantity can alter the course of TB disease or be effective in the treatment of malnutrition. Further clinical trials or studies will be needed to recommend and to better understand the link between malnutrition, tuberculosis, and impaired immunity.

Malnutrition is an independent risk factor that negatively influences patients’ clinical outcomes, quality of life, body function, and autonomy. Early identification of patients at risk of malnutrition or who are malnourished is crucial in order to start a timely and adequate nutritional support. Nutritional risk screening, a simple and rapid first-line tool to detect patients at risk of malnutrition, should be performed systematically in patients at hospital admission. Patients with nutritional risk should subsequently undergo a more detailed nutritional assessment to identify and quantify specific nutritional problems. Such an assessment includes subjective and objective parameters such as medical history, current and past dietary intake (including energy and protein balance), physical examination and anthropometric measurements, functional and mental assessment, quality of life, medications, and laboratory values. Nutritional care plans should be developed in a multidisciplinary approach, and implemented to maintain and improve patients’ nutritional condition. Standardized nutritional management including systematic risk screening and assessment may also contribute to reduced healthcare costs. Adequate and timely implementation of nutritional support has been linked with favorable outcomes such as a decrease in length of hospital stay, reduced mortality, and reductions in the rate of severe complications, as well as improvements in quality of life and functional status. The aim of this review article is to provide a comprehensive overview of nutritional screening and assessment methods that can contribute to an effective and well-structured nutritional management (process cascade) of hospitalized patients.

Malnutrition is common in patients with active tuberculosis (TB), yet little information is available on serial dietary intake or body composition in TB disease.To evaluate macronutrient intake and body composition in individuals with newly diagnosed TB over time.Adults with active pulmonary TB (n = 191; 23 with multidrug resistant TB (MDR-TB) and 36 culture-negative household contacts (controls) enrolled in a clinical trial of high-dose cholecalciferol (vitamin D3) were studied. Macronutrient intake was determined at baseline, 8 and 16 weeks. Serial body composition was assessed by body mass index (BMI; kg/m(2)) and bioelectrical impedance analysis (BIA) to estimate fat mass and fat-free mass. Descriptive statistics, repeated measures ANOVA for changes over time and linear regression were used.At baseline, mean daily energy, protein, fat and carbohydrate (CHO) intakes were significantly higher, and body weight, BMI, fat-free mass and fat mass were significantly lower, between TB subjects and controls. These remained significant after adjusting for age, gender, employment status and smoking. In all TB subjects, baseline mean daily intakes of energy, fat and protein were adequate when compared to the US Dietary Reference Intakes and protein significantly increased over time (p < 0.0001). Body weight, BMI, and fat and fat-free mass increased over time. MDR-TB patients exhibited lower body weight and fat-free mass over time, despite similar daily intake of kcal, protein, and fat.Macronutrient intake was higher in TB patients than controls, but TB-induced wasting was evident. As macronutrient intake of TB subjects increased over time, there was a parallel increase in BMI, while body composition proportions were maintained. However, individuals with MDR-TB demonstrated concomitantly decreased body weight and fat-free mass over time versus drug-sensitive TB patients, despite increased macronutrient intake. Thus, MDR-TB appears to blunt anabolism to macronutrient intake, likely reflecting the catabolic effects of TB.Copyright © 2015 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Malnutrition and tuberculosis are both problems mostly of the developing countries. Tuberculosis can lead to malnutrition and malnutrition may predispose to tuberculosis. Poor nutrition leads to protein-energy malnutrition and micronutrients deficiencies which lead to immunodeficiency. This secondary immunodeficiency increases the host's susceptibility to infection and hence increase the risk for developing tuberculosis. Tuberculosis itself leads to reduction in appetite, nutrient malabsorption, micronutrient malabsorption, and altered metabolism leading to wasting and poor nutritional status. Nutritional status and dietary intake and hence nutritional status of patients get improved during antituberculosis treatment.

Nutrient content and nutrient timing are considered key regulators of human health and a variety of diseases and involve complex interactions with the mucosal immune system. In particular, the innate immune system is emerging as an important signaling hub that modulates the response to nutritional signals, in part via signaling through the gut microbiota. In this review we elucidate emerging evidence that interactions between innate immunity and diet affect human metabolic health and disease, including cardiometabolic disorders, allergic diseases, autoimmune disorders, infections, and cancers. Furthermore, we discuss the potential modulatory effects of the gut microbiota on interactions between the immune system and nutrition in health and disease, namely how it relays nutritional signals to the innate immune system under specific physiological contexts. Finally, we identify key open questions and challenges to comprehensively understanding the intersection between nutrition and innate immunity and how potential nutritional, immune, and microbial therapeutics may be developed into promising future avenues of precision treatment.

Although malnutrition remains a global public health concern, and has proved to be a major contributor to death and illness, there has been a foundational lack of a gold standard for diagnostic testing for clinical application. The Global Leadership Initiative on Malnutrition (GLIM) criteria were established to normalize the diagnosis of malnutrition, but their use remains controversial. Therefore, we carried out a meta-analysis based on the published literature to assess the accuracy of the GLIM criteria for diagnosing malnutrition.We utilized publication databases (including CENTRAL, MEDLINE, and EMBASE) to acquire research studies published from the initial use of the GLIM criteria in 2019 until January 22, 2022 that used the criteria to diagnose malnutrition. We conducted this meta-analysis with reference to the recommendations from the PRISMA-DTA statement. We separately calculated the amalgamated sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and AUC with 95%CI for the GLIM criteria. Then, we aggregated and presented the data by drawing forest plots to assess the real accuracy of the criteria. A subgroup analysis was also carried out to identify the potential sources of heterogeneity.After the initial search of the CENTRAL, EMBASE, and MEDLINE databases, a total of 451 unique studies were identified. Twenty studies met our selection standards and 10,781 total patients were included in the meta-analysis. We noted that 4761 of the 10,781 patients (44.2%) were malnourished. The amalgamated sensitivity of the GLIM criteria was 0.72 (95%CI, 0.64-0.78), the specificity was 0.82 (95%CI, 0.72-0.88), the PLR was 3.9 (95%CI, 2.6-6.1), NLR was 0.35 (95%CI, 0.27-0.44), DOR was 11 (95%CI, 6-20), and AUC was 0.82 (95%CI, 0.79-0.85). Based on the results of a subgroup analysis using the SGA as a reference standard, the GLIM criteria had better diagnostic value (sensitivity, 0.81; specificity, 0.80; DOR, 17; AUC, 0.87).The GLIM criteria have high diagnostic accuracy for distinguishing patients with malnutrition, and the GLIM criteria seem to have the potential to be used as a gold standard for diagnosing malnutrition in clinical practice. Moreover, the subgroup analysis showed a better diagnostic value for the GLIM criteria compared to the SGA used as a reference standard. Large-scale diagnostic trials and additional refinements to simplify the criteria are urgently needed to increase the clinical utilization of the GLIM criteria in the future.Copyright © 2022 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

The Global Leadership Initiative on Malnutrition (GLIM) provides consensus criteria for the diagnosis of malnutrition that can be widely applied. The GLIM approach is based on the assessment of three phenotypic (weight loss, low body mass index, and low skeletal muscle mass) and two etiologic (low food intake and presence of disease with systemic inflammation) criteria, with diagnosis confirmed by any combination of one phenotypic and one etiologic criterion fulfilled. Assessment of muscle mass is less commonly performed than other phenotypic malnutrition criteria, and its interpretation may be less straightforward, particularly in settings that lack access to skilled clinical nutrition practitioners and/or to body composition methodologies. In order to promote the widespread assessment of skeletal muscle mass as an integral part of the GLIM diagnosis of malnutrition, the GLIM consortium appointed a working group to provide consensus-based guidance on assessment of skeletal muscle mass. When such methods and skills are available, quantitative assessment of muscle mass should be measured or estimated using dual-energy x-ray absorptiometry, computerized tomography, or bioelectrical impedance analysis. For settings where these resources are not available, then the use of anthropometric measures and physical examination are also endorsed. Validated ethnic- and sex-specific cutoff values for each measurement and tool are recommended when available. Measurement of skeletal muscle function is not advised as surrogate measurement of muscle mass. However, once malnutrition is diagnosed, skeletal muscle function should be investigated as a relevant component of sarcopenia and for complete nutrition assessment of persons with malnutrition.Copyright © 2022 Elsevier Ltd, European Society for Clinical Nutrition and Metabolism, American Society for Parenteral and Enteral Nutrition. Published by Elsevier Ltd.. All rights reserved.