Malnutrition is a major global health challenge. Worldwide, approximately 390 million adults are underweight, while 2.5 billion are overweight. The Malnutrition Universal Screening Tool (MUST) has been implemented successfully in the United Kingdom to assess the nutritional status of patients in health care settings. Currently, MUST is available as a web-based tool or as a paper-based version, However, the paper tool can lead to calculation errors, and web-based tools require internet access, limiting use in some communities. The MUST app uses clear and simple navigation and processes information precisely, so could potentially improve the accuracy and accessibility of malnutrition screening for health care professionals (HCP) in all settings.
The impact of oral nutritional supplements (ONS) on patients with complications (disease related morbidity) requires further exploration. This systematic review included 44 randomised controlled trials (RCT) (29 RCT surgical, 15 RCT medical patients) examining the effect of ONS in community settings on the incidence of complications (n = 716, mean age 67 years, range 35-87). ONS (mean intake 588 kcal/day, range 125-1750; protein 22 g/day, range 0-54; mean energy from protein 22 %, range 0-54) were prescribed for a mean 74 days, range 5-365. Most RCT (77 %) reported fewer complications in the ONS group versus control. Meta-analysis (39 RCT) showed ONS consumption reduced complications including infections, pressure ulcers, wound and fracture healing (OR 0.68, 95 % CI 0.59,0.79; p<0.001). Results showed reductions when ONS were used in hospital and community settings (OR 0.72, 95 % CI 0.59,0.87; p = 0.001) or just in the community (OR 0.65, 95 % CI 0.52, 0.80; p<0.001). Reductions in complications were only seen with high ONS adherence ≥ 80 % (OR 0.63, 95 % CI 0.48,0.83; p = 0.001) and ready-to-drink ONS (OR 0.69, 95 % CI 0.60,0.81; p<0.001). This systematic review and meta-analysis show community-based use of ONS in addition to the diet substantially reduces the incidence of complications. The diversity of ONS, patient populations and complication outcomes within the trials included in this review mean further research is warranted.
The present study aimed to determine the extent of malnutrition in preoperative colorectal cancer patients. Malnutrition has been shown to affect post-operative outcome, so it would be beneficial to identify those who are malnourished or who are at risk of becoming so preoperatively. We examine whether weight loss is related to the length of stay or changes in fat free mass.Patients were enrolled consecutively from outpatients 2-4 weeks prior to surgery. Assessments included body mass index, percentage weight loss, dynamometry, Malnutrition Universal Screening Tool, Subjective Global Assessment and bioelectrical impedance. Cancer staging and hospital length of stay were recorded.One hundred and thirty-two patients were eligible and 87 enrolled. Sixty-seven patients were weight losing and 20% had lost >10% of their usual body weight. Handgrip strength was lower in malnourished patients compared to those who had not lost weight (mean 19.4 and 27.3 kg, respectively, P = 0.013). Mean (SD) fat free mass in patients with a weight loss >10% was 39.7 (13.5) kg and, in those with <10% weight loss, was 51.9 (12.0) kg (P = 0.001). This difference was not demonstrated for fat.Over half of these patients had lost weight prior to surgery and one in five were malnourished. Body composition measurements demonstrated that malnourished patients had significantly less fat free mass compared to patients who were not clinically malnourished. Nutritional screening would be beneficial in this group preoperatively to identify weight-losing patients at an early stage in the care pathway when they initially enter the secondary care system.
The world’s population aged ≥65 is expected to rise from one in eleven in 2019 to one in six by 2050. People aged ≥65 are at a risk of undernutrition, frailty, and sarcopenia. The association between these conditions is investigated in a hospital setting. However, there is little understanding about the overlap and adverse health outcomes of these conditions in community-dwelling people. This systematic review aims to quantify the reported prevalence and incidence of undernutrition, frailty, and sarcopenia among older people aged ≥50 living in community dwellings. Searches were conducted using six databases (AMED, CENTRAL, EMBASE, Web of Science, MEDLINE, and CINAHL), and 37 studies were included. Meta-analyses produced weighted combined estimates of prevalence for each condition (Metaprop, Stata V16/MP). The combined undernutrition prevalence was 17% (95% CI 0.01, 0.46, studies n = 5; participants = 4214), frailty was 13% (95% CI 0.11, 0.17 studies n = 28; participants = 95,036), and sarcopenia was 14% (95% CI 0.09, 0.20, studies n = 9; participants = 7656). Four studies reported incidence rates, of which three included data on frailty. Nearly one in five of those aged ≥50 was considered either undernourished, frail, or sarcopenic, with a higher occurrence in women, which may reflect a longer life expectancy generally observed in females. Few studies measured incidence rates. Further work is required to understand population characteristics with these conditions and the overlap between them. PROSPERO registration No. CRD42019153806.
Abstract Background There is a high incidence of preoperative undernutrition in hospitalised patients in low and middle‐income countries (LMICs), leading to increased postoperative complications, length of hospital stay and early mortality. Review aims are to establish the prevalence of undernutrition and assess the use of validated nutritional screening tools in surgical patients across LMICs. Methods Protocol was PRISMA compliant and Prospero registered (CRD42019126765). Twelve international databases were searched from January 1990 to April 2021. Included studies were on nutritional screening in adults (≥16 years) undergoing surgery in LMICs. Two researchers screened studies and assessed quality. Prevalence of undernutrition was presented as a weighted percentage with confidence intervals (CI). Results Of the 4649 records identified, 16 studies ( n = 4032) were eligible. Subjective global assessment (SGA) or patient generated (PG)‐SGA were the tools used most widely. SGA and PG‐SGA showed a high prevalence of undernutrition overall (0.61, 95% CI 0.50, 0.73), with a proportion identified with moderate undernutrition (0.44, 95% CI 0.31, 0.57) or severe undernutrition (0.32, 95% CI 0.19, 0.45). Conclusions Data show the prevalence of undernutrition in surgical patients as high as three in five patients within LMICs. Results indicate that the SGA is suitable for assessing this group of patients and that it may be the most appropriate tool to use due to its subjectivity and reliability. PG‐SGA although similar includes more symptom assessment, which is important for nutritionally depleted cancer patients. The limited data on validity and reliability of nutritional screening tools in LMICs indicates further research is required.
'%3e%3cpath fill='%23012169' d='M0 0v30h60V0z'/%3e%3cpath stroke='%23fff' stroke-width='6' d='m0 0 60 30m0-30L0 30'/%3e%3cpath stroke='%23C8102E' stroke-width='4' d='m0 0 60 30m0-30L0 30' clip-path='url(%23b)'/%3e%3cpath stroke='%23fff' stroke-width='10' d='M30 0v30M0 15h60'/%3e%3cpath stroke='%23C8102E' stroke-width='6' d='M30 0v30M0 15h60'/%3e%3c/g%3e%3c/svg%3e)
'/%3e%3c/defs%3e%3cpath fill='%23012169' d='M0 0h10080v5040H0z'/%3e%3cpath stroke='%23fff' stroke-width='.6' d='m0 0 6 3m0-3L0 3' clip-path='url(%23b)' transform='scale(840)'/%3e%3cpath stroke='%23e4002b' stroke-width='.4' d='m0 0 6 3m0-3L0 3' clip-path='url(%23c)' transform='scale(840)'/%3e%3cpath stroke='%23fff' stroke-width='840' d='M2520 0v2520M0 1260h5040'/%3e%3cpath stroke='%23e4002b' stroke-width='504' d='M2520 0v2520M0 1260h5040'/%3e%3cg fill='%23fff'%3e%3cuse xlink:href='%23d' x='2520' y='3780'/%3e%3cuse xlink:href='%23a' x='7560' y='4200'/%3e%3cuse xlink:href='%23a' x='6300' y='2205'/%3e%3cuse xlink:href='%23a' x='7560' y='840'/%3e%3cuse xlink:href='%23a' x='8680' y='1869'/%3e%3cuse xlink:href='%23e' x='8064' y='2730'/%3e%3c/g%3e%3c/svg%3e)