Humans ; Nutrition Assessment ; Prognosis ; Silicosis/prevention & control* ; Occupational Diseases ; China/epidemiology* ; Occupational Exposure ; Silicon Dioxide

BACKGROUND

Several studies have shown the serious implications of malnutrition, yet it is still underestimated, understudied and an undertreated problem in hospitalized patients. It remains a challenge for hospitals in the Philippines. Pre operative malnutrition is a risk factor of perioperative morbidity and mortality. Thus, assessing the pre operative nutritional status is necessary in planning early nutritional interventions and may predict risk of developing postoperative complications.

A prospective cohort study was conducted among adult patients ages 18 to 70 years old admitted for abdominopelvic surgery at St. Paul’s Hospital Iloilo from January 2021 to January 2022. Within 24-48 hours of admission, patients’ demographic and clinical profiles were identified and the presence of nutritional risk was evaluated using the Malnutrition Universal Screening Tool (MUST). Further statistical analysis was done using cross tabulation, and Pearson’s chi-square and logistic regression.

The study demonstrated that nutritional risk, age, presence of malignancy, smoking and alcoholic beverage drinking were significantly correlated with post-operative complications.

Nutritional risk screening using MUST pre-operatively can help predict the outcomes of post-operative patients undergoing abdominopelvic operation.

Child ; Humans ; Nutrition Assessment ; Nutritional Support ; Renal Insufficiency, Chronic/therapy*

Literature regarding the impacts of heavy metal exposure on erectile dysfunction (ED) is scarce. We aimed to evaluate the correlation between 10 urinary metals and ED in a large, nationally representative adult male sample. The dataset was extracted from the National Health and Nutrition Examination Survey (NHANES) during the period of 2001-2002 and 2003-2004. Weighted proportions and multivariable logistic regression analysis adjusted for confounding variables were utilized to determine the relationship between metal exposure and ED. Weighted quantile sum (WQS) regression was utilized to evaluate the impact of a mixture of urinary metals on ED. A total of 1328 participants were included in our study. In multivariable logistic regression analysis, cobalt (Co) and antimony (Sb) were positively associated with ED (odds ratio [OR]: 1.36, 95% confidence interval [CI]: 1.10-1.73, P = 0.020; and OR: 1.41, 95% CI: 1.12-1.77, P = 0.018, respectively) after full adjustment. Men in tertile 4 for Co (OR: 1.49, 95% CI: 1.02-2.41, P for trend = 0.012) and Sb (OR: 1.53, 95% CI: 1.08-2.40, P for trend = 0.041) had significantly higher odds of ED than those in tertile 1. Furthermore, the WQS index was significantly linked with increased odds of ED after full adjustment (OR: 1.31, 95% CI: 1.04-1.72, P < 0.05). Our study expanded on previous literature indicating the possible role of heavy metal exposure in the etiology of ED. The evaluation of heavy metal exposure should be included in the risk assessment of ED.
Adult ; Humans ; Male ; United States ; Erectile Dysfunction/etiology* ; Nutrition Surveys ; Metals, Heavy ; Risk Assessment

OBJECTIVE: To evaluate the implications of the prognostic nutrition index (PNI) in non-metastatic renal cell carcinoma (RCC) patients treated with surgery and to compare it with other hematological biomarkers, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and systemic immune inflammation index (SII). METHODS: A cohort of 328 non-metastatic RCC patients who received surgical treatment between 2010 and 2012 at Peking University First Hospital was analyzed retrospectively. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff values of the hematological biomarkers. The Youden index was maximum for PNI was value of 47.3. So we divided the patients into two groups (PNI≤ 47. 3 and >47. 3) for further analysis. Categorical variables [age, gender, body mass index (BMI), surgery type, histological subtype, necrosis, pathological T stage and tumor grade] were compared using the Chi-square test and Student' s t test. The association of the biomarkers with overall survival (OS) and disease-free survival (DFS) was analyzed using Kaplan-Meier methods with log-rank test, followed by multivariate Cox proportional hazards model. RESULTS: According to the maximum Youden index of ROC curve, the best cut-off value of PNI is 47. 3. Low level of PNI was significantly associated with older age, lower BMI and higher tumor pathological T stage (P < 0.05). Kaplan-Meier univariate analysis showed that lower PNI was significantly correlated with poor OS and DFS (P < 0.05). In addition, older age, lower BMI, tumor necrosis, higher tumor pathological T stage and Fuhrman grade were significantly correlated with poor OS (P < 0.05). Cox multivariate analysis showed that among the four hematological indexes, only PNI was an independent factor significantly associated with OS, whether as a continuous variable (HR=0.9, 95%CI=0.828-0.978, P=0.013) or a classified variable (HR=2.397, 95%CI=1.061-5.418, P=0.036). CONCLUSION Low PNI was a significant predictor for advanced pathological T stage, decreased OS, or DFS in non-metastatic RCC patients treated with surgery. In addition, PNI was superior to the other hematological biomar-kers as a useful tool for predicting prognosis of RCC in our study. It should be externally validated in future research before the PNI can be used widely as a predictor of RCC patients undergoing nephrectomy.
Humans ; Prognosis ; Nutrition Assessment ; Carcinoma, Renal Cell/surgery* ; Retrospective Studies ; Biomarkers ; Kidney Neoplasms/pathology*

OBJECTIVE: To explore the effects of prognostic nutritional index (PNI) combined with D-dimer on the prognosis of patients with newly diagnosed diffuse large B-cell lymphoma (DLBCL). METHODS: The clinical data of 73 DLBCL patients at initial diagnosis were retrospectively evaluated, and the optimal cut-off point of PNI and D-dimer were determined by ROC curve. The overall survival (OS) rate and progression-free survival (PFS) rate in different subgroups were compared using Kaplan-Meier survival curves. Univariate and multivariate Cox regression analysis was performed to identify the factors associated with OS. RESULTS: Compared with the low PNI group (PNI<44.775), the high PNI group (PNI≥44.775) had better OS (P =0.022) and PFS (P =0.029), the 2-year OS rates of the two groups were 55.6% and 78.3% respectively (P =0.041). Compared with the high D-dimer group (D-dimer≥0.835), the low D-dimer group (D-dimer<0.835) had better OS (P <0.001) and PFS (P <0.001), the 2-year OS rates of the two groups were 51.4% and 86.8% respectively (P =0.001). Meanwhile, patients in the high PNI+ low D-dimer group had better OS (P =0.003) and PFS (P <0.001) than the other three groups, the 2-year OS rate was statistically different from the other three groups (P <0.05). The multivariate analysis revealed that NCCN-IPI (HR =2.083, 95%CI : 1.034-4.196, P =0.040), PNI (HR =0.267, 95%CI : 0.076-0.940, P =0.040) and PNI+D-dimer (HR =9.082, 95%CI : 1.329-62.079, P =0.024) were the independent risk factors affecting OS in patients with DLBCL. Subgroup analysis showed that PNI, D-dimer, and PNI combined with D-dimer could improve the prognostic stratification in low and low-intermediate risk DLBCL patients. CONCLUSION High PNI, low D-dimer and combination of high PNI and low D-dimer at initial diagnosis suggest a better prognosis in DLBCL patients.
Humans ; Prognosis ; Nutrition Assessment ; Retrospective Studies ; Lymphoma, Large B-Cell, Diffuse/pathology*

Objective: To explore the value of phase angle (PA) in constructing a predictive model of nutrition evaluation for tumor patients. Methods: A retrospective analysis was performed on 1 129 patients with malignant tumors hospitalized in the Cancer Center of Changzhi People's Hospital from June 2020 to February 2021. PA values of six parts of the body were measured by the body composition analyzer, including: left arm (LA), right arm (RA), left leg (LL), right leg (RL), the trunk (TR), and the whole body (WB). Patients' body mass index (BMI) was calculated and patient-generated subjective global assessment (PG-SGA) was assessed. The differences of PA values of six parts were compared and their correlations with BMI and PG-SGA in combination with age, gender and tumor disease types were analyzed, binary classification regression on BMI and PG-SGA was performed, and the functions of the best prediction model was fitted. Decision tree, random forest, Akaike information criterion in a Stepwise Algorithm (stepAIC) and generalized likelihood ratio test were used to select appropriate variables, and the logit logistic regression model was used to fit the data. Results: Comparing the PA values of six parts in pairs, it was found that the PA values of LA and RA, LL and RL, and TR and WB were linearly correlated and the coefficient was close to 1 (P<0.001). Binary classification regression was performed for BMI and PG-SGA, respectively. In order to make the data have clinical significance, 18.5 kg/m(2) was used as the classification point for BMI, 4 and 9 were used as the classification points for PG-SGA score, and the models of A, B and C were obtained. Suitable variables including PA-LA, PA-TR and tumor disease types were used as variables to fit BMI classification; BMI, PA-LA and age were used as variables to fit the PG-SGA model with 9 as the classification point. PA-LA, PA-TR, BMI, age and tumor disease types were used as variables to fit the PG-SGA model with 4 as the classification point. In this study, the predicted values of models A, B and C obtained by R-studio were imported into SPSS 26.0 software, and the cut-off values of classification were obtained by the receiver operating characteristic (ROC) curve. The ROC analytic results showed that the best cut-off values of Model A, B and C were 0.155, 0.793 and 0.295. Model A recommended when the probability is >0.155, a patient's nutritiond tatus should be classified as BMI < 18.5 kg/m(2) group. Model B recommended that PG-SGA<9 group be classified as the probability is >0.793. Model C recommended that PG-SGA < 4 group should be classified when probability is >0.295. Conclusions: The PG-SGA classification prediction model is simple to operate, and the nutritional status of patients can be roughly divided into three groups: normal or suspected malnutrition group (PG-SGA<4), moderate malnutrition group (4≤PG-SGA<9), and severe malnutrition group (PG-SGA≥9). This model can more efficiently predict the nutritional status of cancer patients, greatly simplify the nutritional assessment process, and better guide the standardized treatment of clinical malnutrition.
Humans ; Nutrition Assessment ; Retrospective Studies ; Nutritional Status ; Malnutrition ; Neoplasms/complications*

OBJECTIVE: To assess changes of nutritional status by comprehensive nutrition assessment including nutritional risk screening, dietary assessment, blood biochemical index, and body composition in acute leukemia patients who had undergone chemotherapy. METHODS: A total of 169 patients with acute leukemia treated at The First Affiliated Hospital of Soochow University from June 2018 to August 2019 were recruited for this study. Before and after chemotherapy, the NRS-2002 and PG-SGA scales, dietary intake, blood biochemical index and body composition were evaluated to compare the changes of nutritional status. RESULTS: NRS-2002 score and PG-SGA score after chemotherapy were significantly increased than those before chemotherapy (P<0.001). Many patients had insufficient nutritional intake during chemotherapy, and the dietary intake score of patients with induction chemotherapy was significantly lower than that of patients with consolidation chemotherapy (P=0.043). The results of multivariate analysis showed that induction chemotherapy was the independent risk factor for the increase of PG-SGA scores and the decrease of dietary intake (all P<0.05). After chemotherapy, the white blood cell count, hemoglobin, and platelet count were significantly decreased (P<0.001), the prealbumin was significantly increased (P<0.001), and the blood glucose was increased (P=0.04), but albumin was not significantly changed. The weight, body mass index, fat-free mass, skeletal muscle mass and intracellular water were all significantly decreased (P<0.001), and visceral fat area was increased significantly after chemotherapy (P<0.05), especially in newly-diagnosed acute lymphoblastic leukemia patients after the induction of chemotherapy. CONCLUSION The nutritional status of patients with acute leukemia has undergone significant changes after chemotherapy. A single indicator has limited significance for nutritional status assessment. Comprehensive assessment of nutritional status by multiple tools is worthy of clinical application.
Acute Disease ; Humans ; Induction Chemotherapy/methods* ; Leukemia, Myeloid, Acute/drug therapy* ; Nutrition Assessment ; Nutritional Status ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/drug therapy*

Background and Objectives: Malnutrition is prevalent both at baseline admission and because of hospitalization. It is aggravated by adverse hospital practices and results in poor outcomes, reduced quality of life, and higher treatment costs. Improving quality of care involves nutritional intervention as a low-risk, cost-effective strategy which guides providers in improving practices systems-wise. This study aims to assess the quality of nutritional care and the nutritional status of critically- ill patients admitted in a low-resource setting.

Materials and Methods: This is a mixed methods study among adults admitted in intensive care units (ICUs) of a tertiary government hospital. Anthropometric and biochemical indicators were obtained through chart review. The degree of malnutrition was assessed using the Subjective Global Assessment. Quality indicators under Donabedian domains were assessed and compared to current standards. The length of ICU stay and mortality rate were recorded. Dietary prescription and provision practices of healthcare providers were supplemented by a focus group discussion (FGD). Factors causing provision interruptions were also identified.

Results and Discussion: Sixty-four ICU admissions were included. Staff-to-patient ratio was not ideal. Under process-related factors, out of 49% with actual anthropometric documentations (rest were estimates), 24% had normal body mass indices (BMI), 17% were underweight, and the rest were either overweight or obese. The baseline ICU malnutrition rate was 69%. Malnutrition screening, and assessment of risk and biochemical indicators were not done routinely. Majority (92%) had baseline dietary prescription but only 69% had specific energy and macronutrient breakdown, all done through predictive weight-based equations. Nutritional supplies arrived within 8 hours in 65% of patients. Feeding was initiated within 24-28 hours in 94% of patients. Commercial formula was the preferred type of enteral nutrition (EN). Total duration on nothing-by-mouth (NPO) (hours) throughout ICU stay was significant. Supportive measures to improve gastro-intestinal (GI) tolerance were not standardized. Common factors in delaying feeding initiation were hemodynamic instability, fasting for procedures and GI bleeding. Throughout the ICU stay, fasting for procedures, hemodynamic instability and mechanical ventilation (MV)-related factors were common. ICU mortality rate was 19% and average length of ICU stay was 5 days.

Conclusion: Malnutrition is still prevalent in our ICUs and is affected by suboptimal healthcare practices. Staff - to-patient ratios, malnutrition risk screening and assessment, dietary referrals, documentation and minimizing interruptions in nutritional care provision needs improvement. A system review and establishment of a nutrition team is imperative.

Objective: To investigate the relationship between nutritional risk status and clinical outcome in children with tuberculous meningitis (TBM). Methods: The clinical data (basic information, clinical symptoms and laboratory test results) of 112 patients with TBM, who were admitted to Department of Pediatric Infectious Diseases of West China Second Hospital of Sichuan University,from January 2013 to December 2020 were retrospectively analyzed. The patients were divided into the nutritional risk group and the non-nutritional risk group according to the assessment of the nutritional risk by the STRONGkids Scale. The variables of basic information, clinical symptoms and laboratory test measurements etc. were compared between the two groups by using Student t test, Rank sum test or Chi-square test. Multivariate Logistic regression analysis were used to analyze nutritional risk factors. Results: Among 112 patient with TBM, 55 were males and 57 females. There were 62 cases in the nutritional risk group and 50 cases in the non-nutritional risk group. The proportion of cases with nutritional risk was 55.4% (62/112). Patients in the nutritional risk who lived in rural areas, had symptoms of brain nerve damage, convulsions, emaciation and anorexia, with a diagnosis time of ≥21 days, and the level of cerebrospinal fluid (CSF) protein were all higher than those in the non-nutritional risk group ((50 cases (80.6%) vs. 32 cases (64.0%), 20 cases (32.3%) vs.8 cases (16.0%), 33 cases (53.2%) vs. 15 cases (30.0%), 30 cases (48.4%) vs. 2 cases (4.0%), 59 cases (95.2%) vs. 1 case (2.0%),41 cases (66.1%) vs.18 cases (36.0%), 1 406 (1 079, 2 068) vs. 929 (683, 1 208) mg/L, χ²=3.91, 3.90, 6.10, 26.72, 98.58, 10.08, Z=4.35, all P<0.05). The levels of serum albumin,hemoglobin,lymphocyte count, white blood cell count, and CSF glucose were significantly lower in patients with nutritional risk ((36±5) vs. (41±4) g/L, (110±17) vs. (122±14) g/L, 1.4 (1.0, 2.0)vs. 2.3 (1.6, 3.8)×10⁹/L, 7.8 (6.3, 10.0)×10⁹ vs. 10.0 (8.3, 12.8)×10⁹/L, 1.0 (0.8, 1.6) vs. 2.1 (1.3, 2.5) mmol/L, t=-6.15, -4.22, Z=-4.86, -3.92, -4.16, all P<0.05).Increased levels of serum albumin (OR=0.812, 95%CI:0.705-0.935, P=0.004) and lymphocyte count (OR=0.609, 95%CI:0.383-0.970, P=0.037) may reduce the nutritional risk of children with TBM; while convulsions (OR=3.853, 95%CI:1.116-13.308, P=0.033) and increased level of CSF protein (OR=1.001,95%CI:1.000-1.002, P=0.015) may increase the nutritional risk of children with TBM. Similarly, the rate of complications and drug-induced liver injury was higher in the nutritional risk group (47 cases (75.8%) vs. 15 cases(30.0%), 31 cases (50.0%) vs.8 cases (16.0%), χ²=23.50, 14.10, all P<0.05). Moreover, the length of hospital stay was also longer in the nutritional risk group ((27±13) vs. (18±7) d, t=4.38, P<0.05). Conclusions: Children with TBM have a high incidence of nutritional risk. Convulsive, the level of serum albumin, the level of lymphocyte count and CSF protein may affect the nutritional risk of children with TBM. The nutritional risk group has a high incidence of complications and heavy economic burden.It is necessary to carry out nutritional screening and nutritional support for children with TBM as early as possible.
Female ; Humans ; Leukocyte Count ; Male ; Nutrition Assessment ; Nutritional Status ; Retrospective Studies ; Tuberculosis, Meningeal/diagnosis*