A reliable and robust method for the upper thigh muscle quantification on computed tomography: toward a quantitative biomarker for sarcopenia.

BACKGROUND: We aimed to evaluate the feasibility of the upper thigh level as a landmark to measure muscle area for sarcopenia assessment on computed tomography (CT). METHODS: In the 116 healthy subjects who performed CT scans covering from mid-abdomen to feet, the skeletal muscle area in the upper thigh level at the inferior tip of ischial tuberosity (SMAUT), the mid-thigh level (SMAMT), and L3 inferior endplate level (SMAL3) were measured by two independent readers. Pearson correlation coefficients between SMAUT, SMAMT, and SMAL3 were calculated. Inter-reader agreement between the two readers were evaluated using intraclass correlation coefficient (ICC) and Bland-Altman plots with 95% limit of agreement (LOA). RESULTS: In readers 1 and 2, very high positive correlations were observed between SMAUT and SMAMT (r = 0.91 and 0.92, respectively) and between SMAUT and SMAL3 (r = 0.90 and 0.91, respectively), while high positive correlation were observed between SMAMT and SMAL3 (r = 0.87 and 0.87, respectively). Based on ICC values, the inter-reader agreement was the best in the SMAUT (0.999), followed by the SMAL3 (0.990) and SMAMT (0.956). The 95% LOAs in the Bland-Altman plots indicated that the inter-reader agreement of the SMAUT (- 0.462 to 1.513) was the best, followed by the SMAL3 (- 9.949 to 7.636) and SMAMT (- 12.105 to 14.605). CONCLUSION: Muscle area measurement at the upper thigh level correlates well with those with the mid-thigh and L3 inferior endpoint level and shows the highest inter-reader agreement. Thus, the upper thigh level might be an excellent landmark enabling SMAUT as a reliable and robust biomarker for muscle area measurement for sarcopenia assessment.

Spatial distribution of salinity and heavy metals in surface soils on the Mugan Plain, the Republic of Azerbaijan.

The Republic of Azerbaijan suffers from low agricultural productivity caused by soil salinization and erosion, and limited and insufficient soil data are available for economic and political reasons. In this study, soil salinity and heavy metal levels were assessed. Environmental risk assessment was conducted to evaluate the potential risk posed by soils to human health. Soil guideline values were proposed to monitor soil pollution in the Republic of Azerbaijan. Water extraction and spatial variability analysis were conducted to understand soil salinization and heavy metal pollution. Among the 20 studied elements, the elements Ca, Cl, and S and the heavy metals Cr, Ni, and Pb were classified as problematic on the basis of the geoaccumulation index, and As was also identified as posing a possible risk on the basis of the potential ecological risk index. Based on the developed soil guideline values for agricultural soil, the As, Cr, and Ni in the soil samples exceeded their respective guidelines by 31.3, 41.8, and 61.6%, respectively. Water extraction results confirmed that 99% of the leached ions were cationic salts, and the most problematic ion was Na, followed by Ca, Cl, and S. The extractability values of Cr and Ni were significantly lower than those of other heavy metals, which implies that their actual leaching potential may be overestimated. The linear regression and spatial variability analysis confirmed that leachable salts have accumulated in lowland areas due to the capillary rise of water and evaporation, but the distribution of heavy metals confirmed that As, Cr, and Ni were abundant in agricultural soils. Our results clearly showed that heavy metal soil contamination and high salinity levels are major problems that should be considered when assessing food safety and health hazards in the Mugan Plain of Azerbaijan. Therefore, future studies should be performed for additional environmental risk assessment, detailed hazard identification, and health risk assessment.

Predictive value of sarcopenia and visceral obesity for postoperative pancreatic fistula after pancreaticoduodenectomy analyzed on clinically acquired CT and MRI.

OBJECTIVE: To evaluate predictive values of sarcopenia and visceral obesity measured from preoperative CT/MRIs for postoperative pancreatic fistula (POPF) after pancreaticoduodenectomy in patients with periampullary malignancies. METHODS: From the prospectively constructed surgical registry, we included adult patients treated with pancreaticoduodenectomy. Based on CT/MRIs, body morphometric analysis was performed to evaluate the visceral obesity and sarcopenia, based on the areas of visceral fat and skeletal muscle measured at the L3 vertebrae level. We retrieved various perioperative factors from registry. As outcomes of postoperative complications, we evaluated POPF and major complications based on the Clavien-Dindo classification. Multivariate logistic regression analyses were performed. RESULTS: From a total of 284 patients (163 males, 121 females) who met the inclusion/exclusion criteria, POPF, major complications, and 60-day mortality occurred in 52 (18.3%), 34 (12.0%), and 6 (2.1%), respectively. Sarcopenia and visceral obesity were noted in 123 (75.5%) and 66 (40.5%) of men and 68 (56.2%) and 53 (43.8%) of women, respectively. Combination of sarcopenia and obesity (sarcopenic obesity) was noted in 31.9% (52/163) of men and in 26.4% (32/121) of women. In multivariate logistic regression analyses, sarcopenic obesity was the only independent predictor for POPF (OR 2.65, 95% CI 1.43-4.93), and the vascular resection during pancreaticoduodenectomy was the only independent predictor for severe complications (OR 3.75, 95% CI 1.61-8.70). CONCLUSION: Sarcopenic obesity might be highly predictive for POPF. Body morphometric analysis in preoperative CT/MRI combined with assessment of perioperative clinical features may help to identify high-risk patients and determine perioperative management strategies. KEY POINTS: • Sarcopenic obesity might be predictive for postoperative pancreatic fistula after pancreaticoduodenectomy. • The vascular resection during pancreaticoduodenectomy might be predictive of major complications. • Body morphometric analysis might be helpful for identifying high-risk patients.

Identification of symptom clusters and their synergistic effects on quality of life in rheumatoid arthritis patients.

AIMS: To examine the presence of symptom clusters and synergistic effects of symptom clusters on quality of life in rheumatoid arthritis patients. BACKGROUND: Rheumatoid arthritis patients frequently experience multiple concurrent symptoms of pain, fatigue, and depression. DESIGN: A nonexperimental, cross-sectional correlation design. METHODS: The study participants were 179 rheumatoid arthritis patients. Data were collected between August and December 2016. A hypothetical model was developed based on the Theory of Unpleasant Symptoms Model: physiological antecedents included disease activity and obesity; symptoms of pain, fatigue, and depression were hypothesized as being clustered, and quality of life was taken as the outcome variable. RESULTS: Disease activity had significant direct effects on pain, fatigue, and depression and indirect effects on fatigue and depression, whereas obesity had a significant direct effect on fatigue alone. Three symptom clusters, namely, pain fatigue, fatigue depression, and pain-fatigue depression were identified and found to have significant synergistic effects on quality of life. CONCLUSIONS: Our findings support the importance of managing clusters of symptoms simultaneously, that is, collective symptom management. Inter-cluster dynamics between symptoms should be considered when nurses develop symptom management strategies or self-management programs to improve the quality of life of rheumatoid arthritis patients.

Predictive value of basal cell carcinoma biopsies with negative margins: A retrospective cohort study.

BACKGROUND: Pathology reports of basal cell carcinoma (BCC) biopsies often contain comments of positive or negative margins, with only 1%-2% of the margin evaluated. The negative predictive value (NPV) of biopsy margin status on residual BCC is unknown. OBJECTIVE: The purpose of this study was to determine the NPV of BCC biopsy margin status on the absence of residual BCC in the corresponding excision. METHODS: From our institution's archives, we collected BCC biopsies with negative margin readings that had subsequent excisions. For excisions read as negative for residual BCC, the excision blocks were sectioned at 150-µm intervals until exhausted. RESULTS: We collected 143 cases that met criteria; 34 (24%) were found to contain residual BCC in the corresponding excision leading to a NPV of 76%; in 31 of 34 (91%) of these cases, the residual histologic subtype was superficial. LIMITATIONS: Our sectioning technique did not evaluate 100% of the excision specimens. CONCLUSION: Negative margins in a BCC biopsy are a poor predictor of residual disease in the patient. We recommend that clinicians treat these lesions, and that pathologists who comment on margin status of BCC biopsies consider adding a caveat to reflect these findings.

Feasibility of a Low-Power Radiofrequency Ablation Protocol to Delay Steam Popping.

PURPOSE: Steam popping frequently occurs during conventional high-power radiofrequency (RF) ablation, increasing the risk of tumor spread. The aim of this study was to evaluate the effect of a low-power RF ablation protocol on the intensity and timing of steam popping in ex vivo bovine liver. MATERIALS AND METHODS: High-power (maximum 200 W; group 1) and low-power (maximum 70 W; group 2) RF ablation protocols were established. In the first phase, RF ablation was conducted for 12 min. Ablation volume, intensity, and timing of maximal popping sounds and total energy generated for RF ablation were compared between groups 1 and 2. In the second phase, RF ablation was conducted until maximal popping occurred, and ablation zones on histologic specimens were compared. RESULTS: Relative to group 1, maximal popping occurred at significantly delayed timing in group 2 (50 s ± 11 vs 397 s ± 117; P < .001), but without a difference in intensity (ratios vs reference sound of 0.70 ± 0.18 vs 0.83 ± 0.26; P = .138). The ablation volume after 12 min of RF ablation did not differ between groups 1 and 2 (18.46 cm(3) ± 1.35 vs 15.78 cm(3) ± 0.64; P = .086). However, in the histologic specimens obtained when maximal popping occurred, the area of complete coagulative necrosis was significantly larger in group 2 (P < .05). CONCLUSIONS: Low-power RF ablation delays steam popping while providing comparable therapeutic effects to high-power RF ablation. Delaying maximal popping may prevent tumor cell dispersion because maximal popping occurs after an adequate ablation zone has been achieved.

Vascular disrupting effect of CKD-516: preclinical study using DCE-MRI.

Vascular disrupting agents (VDAs) are new class of anti-cancer drugs targeting pre-existing tumor vasculature which lead to tumor ischemia and necrosis. An innovative tubulin polymerization inhibitor, CKD-516, was recently developed as a VDA. We attempted to evaluate its tubulin destabilizing effect using immunofluorescence staining on human endothelial cells (HUVECs) and to ascertain its antivascular effect in a rabbit VX2 tumor model using dynamic contrast-enhanced (DCE) MRI by measuring the changes in kinetic parameters such as K-trans and IAUGC. Immunofluorescence staining using anti-tubulin and anti-actin antibodies on HUVECs showed that CKD-516 selectively disrupted tubulin component of the endothelial cytoskeleton. Serial DCE-MRI showed a significant decrease in K-trans and IAUGC parameters from baseline at 4 h (39.9 % in K-trans; -45.0 % in IAUGC) and at 24 h (-32.2 % in K-trans; -36.5 % in IAUGC), and a significant recovery at 48 h (22.9 % in K-trans; 34.8 % in IAUGC) following administration of CKD-516 at a 0.7-mg/kg dose. When the tumors were stratified according to the initial K-trans value of 0.1, tumors with a high K-trans > 0.1 which was indicative of having well-developed pre-existing vessels, showed greater reduction in K-trans and IAUGC values. On histologic examination, the degree of necrosis of treated tumors was significantly greater than that of untreated tumors. In summary, CKD-516 is an effective VDA which results in rapid vascular shutdown by targeting the tubulin component of tumor vessels and thus leads to necrosis.

Shaving Waivers in the United States Air Force and Their Impact on Promotions of Black/African-American Members.

INTRODUCTION: Regulations of the United States Air Force (USAF) prohibit male members from growing beards. Shaving waivers can be issued to airmen who are not able to shave due to various medical conditions such as pseudofolliculitis barbae, a condition that predominantly affects Blacks/African-Americans. Beard growth has been anecdotally associated with a negative impact on career progression. This study sought to establish if shaving waivers are associated with delays in promotion and, if present, if this association leads to racial bias. MATERIALS AND METHODS: An online survey that collected information relating to shaving waivers and demographic data was emailed to all air force male members at 12 randomly selected air force bases. Generalized linear models were conducted to test the waiver group difference in promotion time controlling for rank and the covariates of race/ethnicity, level of education, professional military education completion, and disciplinary action. RESULTS: A total of 51,703 survey invitations were emailed to members, and 10,383 complete responses were received (20.08% response rate). The demographics of the study cohort closely matched that of the USAF. Shaving waivers were associated with a longer time to promotion (P = .0003). The interaction between race and waiver status was not significant, indicating that shaving waivers are associated with a similarly longer time to promotion in individuals of all races. However, 64.18% of those in the waiver group were Black/African-American despite only being 12.85% of the study cohort. CONCLUSIONS: This study found an association between shaving waivers and delayed promotions. The majority of the waiver group was Black/African-American, which may lead to a racially discriminatory effect of the male grooming standards of the USAF.

Comprehensive Analysis for Anti-Cancer Target-Indication Prioritization of Placental Growth Factor Inhibitor (PGF) by Use of Omics and Patient Survival Data.

The expression of the placental growth factor (PGF) in cancer cells and the tumor microenvironment can contribute to the induction of angiogenesis, supporting cancer cell metabolism by ensuring an adequate blood supply. Angiogenesis is a key component of cancer metabolism as it facilitates the delivery of nutrients and oxygen to rapidly growing tumor cells. PGF is recognized as a novel target for anti-cancer treatment due to its ability to overcome resistance to existing angiogenesis inhibitors and its impact on the tumor microenvironment. We aimed to integrate bioinformatics evidence using various data sources and analytic tools for target-indication identification of the PGF target and prioritize the indication across various cancer types as an initial step of drug development. The data analysis included PGF gene function, molecular pathway, protein interaction, gene expression and mutation across cancer type, survival prognosis and tumor immune infiltration association with PGF. The overall evaluation was conducted given the totality of evidence, to target the PGF gene to treat the cancer where the PGF level was highly expressed in a certain tumor type with poor survival prognosis as well as possibly associated with poor tumor infiltration level. PGF showed a significant impact on overall survival in several cancers through univariate or multivariate survival analysis. The cancers considered as target diseases for PGF inhibitors, due to their potential effects on PGF, are adrenocortical carcinoma, kidney cancers, liver hepatocellular carcinoma, stomach adenocarcinoma, and uveal melanoma.

Temporal Changes in Metabolic Syndrome Indices and Factors of Metabolic Syndrome Development in Patients With Rheumatic Disease: A Prospective Cohort Study.

Patients with rheumatic disease have a high prevalence of metabolic syndrome. The purpose of this study was to investigate temporal changes in metabolic syndrome indices and to identify factors influencing metabolic syndrome development. A prospective cohort study design was adopted. The study participants were 68 outpatients with a rheumatic disease at an outpatient clinic of a university hospital. Data on demographics, health-related characteristics, steroid use, serum C-reactive protein levels, and metabolic syndrome indices were collected between December 2017 and March 2021. Temporal changes in body mass indices, serum triglyceride, and cholesterol levels were significant. Body mass indices, diastolic blood pressure, serum triglyceride, high-density lipoprotein, and fasting blood glucose levels at time of diagnosis were found to influence metabolic syndrome development. Temporal changes in serum triglyceride, cholesterol, and fasting blood glucose levels were significantly influenced by inflammatory status. The findings demonstrate the importance of controlling inflammatory activities in the context of inhibiting the progression of metabolic syndrome and rheumatic diseases.

Terahertz dynamic imaging of skin drug absorption.

Terahertz (THz) imaging is a nondestructive, label-free, rapid imaging technique which gives the possibility of a real-time tracing of drugs within the skin. We evaluated the feasibility of THz dynamic imaging for visualizing serial changes in the distribution and penetration of a topical agent, dimethyl sulfoxide (DMSO) containing ketoprofen, using excised mouse skins. THz imaging was performed for 6 h after drug application to the skin and was compared with the results obtained using the Franz cell diffusion test, a standard in vitro skin absorption test. THz dynamic reflection imaging showed that the reflection signals decreased rapidly during the early time period, and remained constant through the late time period. The area of drug permeation within the skin layer on THz imaging increased with time. The dynamic pattern of THz reflection signal decrease was similar to that of DMSO absorption analyzed by the Franz cell diffusion test, which indicates that THz imaging mainly reflects the DMSO component. This study demonstrates that THz imaging technique can be used for imaging the spatial distribution and penetration of drug-applied sites.

Risk Indicators of Urgent and Extensive Dental Treatment Needs in U.S. Air Force Recruits.

INTRODUCTION: Dental Readiness Classifications (DRCs) enable the Military Health System to prioritize dental care in garrison, minimizing dental emergencies and mission degradation during deployments. Over half (52.4%) of 2008 military recruits presented with high-priority urgent needs classified as DRC3 upon initial dental examination and 18.1% required extensive treatment, needing 7 or more restorations, in order to achieve operational dental readiness. The purpose of this study is to identify risk indicators for urgent and extensive dental treatment needs in current U.S. Air Force (USAF) recruits so that Dental Corps leadership can target interventions to maximize oral health, prioritize resources, and reduce health expenditures in this patient population. MATERIALS AND METHODS: A secondary data analysis was performed of deidentified survey and clinical exam data from the 2018 to 2019 USAF Recruit Oral Health Surveillance study conducted at Lackland Air Force Base from February 2018 to February 2019. Select demographic and self-reported variables were analyzed with two outcome variables: urgent (DRC3) and urgent and extensive (DRC3 + 7) dental treatment needs. Univariate log binomial regression was performed to determine relative risk of DRC3 and DRC3 + 7 by independent variable. The Uniformed Services University of the Health Sciences institutional review board approved the study as an exempt protocol. RESULTS: Among the 1,335 recruits studied, the overall prevalence of urgent dental needs was 21.5%, whereas 5.5% of participants had both urgent and extensive needs. The study group included participants who were mostly male (69%), were non-Hispanic white (60%), aged 17 to 19 years (48%), were high school educated (47%), had private dental insurance coverage (50%) and self-reported: no need for dental care in the past year (65%), excellent or good condition of teeth (63%), were toothbrushing more than once a day (58%), and had daily consumption of one to three servings of sugary beverages (62%) and foods (69%). Statistically significant differences in relative risk for DRC3 were found for all independent variables except gender and education level. Risk indicators significant for DRC3 and DRC3 + 7 were aged 25 to 29 years; Other and Black race/ethnicity; Medicaid insurance; uninsured; self-reported fair, poor, or unsure current condition of teeth; and past year needed care but did not go (P < .05). The majority of DRC3 and DRC3 + 7 cases were in the small subset of recruits who self-reported fair, poor, or unknown current condition of teeth or need for dental care in the past year without a dental visit. CONCLUSIONS: Among USAF recruits, oral health disparities are observed in certain groups. The study findings can inform targeted utilization of resources and interventions to efficiently optimize oral health and operational dental readiness and decrease dental expenditures. Additionally, a two-question screening tool is proposed to facilitate priority assignment for dental examination during boot camp. This tool has the potential to correctly identify nearly 90% of those with urgent and extensive dental treatment needs at half the typical workload.

Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography.

OBJECTIVE: We aimed to develop and validate a deep learning system for fully automated segmentation of abdominal muscle and fat areas on computed tomography (CT) images. MATERIALS AND METHODS: A fully convolutional network-based segmentation system was developed using a training dataset of 883 CT scans from 467 subjects. Axial CT images obtained at the inferior endplate level of the 3rd lumbar vertebra were used for the analysis. Manually drawn segmentation maps of the skeletal muscle, visceral fat, and subcutaneous fat were created to serve as ground truth data. The performance of the fully convolutional network-based segmentation system was evaluated using the Dice similarity coefficient and cross-sectional area error, for both a separate internal validation dataset (426 CT scans from 308 subjects) and an external validation dataset (171 CT scans from 171 subjects from two outside hospitals). RESULTS: The mean Dice similarity coefficients for muscle, subcutaneous fat, and visceral fat were high for both the internal (0.96, 0.97, and 0.97, respectively) and external (0.97, 0.97, and 0.97, respectively) validation datasets, while the mean cross-sectional area errors for muscle, subcutaneous fat, and visceral fat were low for both internal (2.1%, 3.8%, and 1.8%, respectively) and external (2.7%, 4.6%, and 2.3%, respectively) validation datasets. CONCLUSION: The fully convolutional network-based segmentation system exhibited high performance and accuracy in the automatic segmentation of abdominal muscle and fat on CT images.

Comparisons of the Incidence and Critical Risk Factors of Metabolic Syndrome in Patients With a Rheumatic Disease or Gout.

BACKGROUND: Rheumatic disease and gout are particularly known to be associated with metabolic syndrome. PURPOSE: To compare incidence, physiological indices, and risk factors of metabolic syndrome in patients with rheumatic diseases or gout. METHODS: Data were collected from medical records of 220 patients with rheumatic disease or gout. RESULTS: The incidence rate and most physiological indices of metabolic syndrome (body mass index, blood pressure, serum triglyceride, and fasting blood glucose levels) were significantly higher in the gout group than in the rheumatic disease group. In terms of risk factors of metabolic syndrome, age, gender, and steroid use were significant in the rheumatic disease group, whereas smoking and gout duration were significant in the gout group. CONCLUSIONS: Men with a rheumatic disease taking steroids warrant additional attention regarding metabolic syndrome development. Special supports are also needed for people with gout who are smokers and who have suffered from gout for a longer duration.

Reliable and robust method for abdominal muscle mass quantification using CT/MRI: An explorative study in healthy subjects.

BACKGROUND: Quantification of abdominal muscle mass by cross-sectional imaging has been increasingly used to diagnose sarcopenia; however, the technical method for quantification has not been standardized yet. We aimed to determine an optimal method to measure the abdominal muscle area. METHODS: Among 50 consecutive subjects who underwent abdominal CT and MRI for possible liver donation, total abdominal muscle area (TAMA) and total psoas muscle area (TPA) at the L3 inferior endplate level were measured by two blinded readers. Inter-scan agreement between CT and MRI and inter-reader agreement between the two readers were evaluated using intraclass correlation coefficient (ICC) and within-subject coefficient of variation (WSCV). To evaluate the effect of measurement level, one reader measured TAMA and TPA at six levels from the L2 to L4 vertebral bodies. RESULTS: TAMA was a more reliable biomarker than TPA in terms of inter-scan agreement (ICC: 0.928 vs. 0.788 for reader 1 and 0.853 vs. 0.821 for reader 2, respectively; WSCV: 8.3% vs. 23.4% for reader 1 and 10.4% vs. 22.3% for reader 2, respectively) and inter-reader agreement (ICC: 0.986 vs. 0.886 for CT and 0.865 vs. 0.669 for MRI, respectively; WSCV: 8.2% vs. 16.0% for CT and 11.6% vs. 29.7% for MRI, respectively). In terms of the measurement level, TAMA did not differ from the L2inf to L4inf levels, whereas TPA increased with a decrease in measurement level. CONCLUSIONS: TAMA is a better biomarker than TPA in terms of inter-scan and inter-reader agreement and robustness to the measurement level. CT was a more reliable imaging modality than MRI. Our results support the use of TAMA measured by CT as a standard biomarker for abdominal muscle area measurement.

Causal Relationships Between Modifiable Risk Factors of Cognitive Impairment, Cognitive Function, Self-Management, and Quality of Life in Patients With Rheumatic Diseases.

BACKGROUND: Rheumatic diseases are one of the most common types of chronic conditions that affect cognitive functions. PURPOSE: To develop and verify a hypothetical model of causal relationships between modifiable risk factors for cognitive impairment, cognitive function, self-management, and quality of life in patients with rheumatic diseases. METHODS: A hypothetical model was developed on the basis of empirical evidence. The fitness of the model was verified on 210 patients with rheumatic diseases. RESULTS: The prevalence of cognitive impairment was 49.0%. Smoking, underlying diseases, pain, and fatigue had a significant direct effect on cognitive impairment. Only cognitive impairment had a significant direct effect on self-management. Fatigue, anxiety, depression, and cognitive function had a significant direct effect on quality of life. CONCLUSIONS: The importance of proper management of symptoms and health habits should be emphasized to prevent and delay the progression of cognitive impairment and improve adherence to self-management regimens and quality of life.

Nitrogen removal through N cycling from sediments in a constructed coastal marsh as assessed by 15N-isotope dilution.

Constructed coastal marsh regulates land-born nitrogen (N) loadings through salinity-dependent microbial N transformation processes. A hypothesis that salinity predominantly controls N removal in marsh was tested through incubation in a closed system with added-15NH4+ using sediments collected from five sub-marshes in Shihwa marsh, Korea. Time-course patterns of concentrations and 15N-atom% of soil-N pools were analyzed. Sediments having higher salinity and lower soil organic-C and acid-extractable organic-N exhibited slower rates of N mineralization and immobilization, nitrification, and denitrification. Rates of denitrification were not predicted well by sediment salinity but by its organic-C, indicating heterotrophic denitrification. Denitrification dominated N-loss from this marsh, and nitrogen removal capacity of this marsh was estimated at 337 kg N day-1 (9.9% of the daily N-loadings) considering the current rooting depth of common reeds (1.0 m). We showed that sediment N removal decreases with increasing salinity and can increase with increasing organic-C for heterotrophic denitrification.

Optimal Phase of Dynamic Computed Tomography for Reliable Size Measurement of Metastatic Neuroendocrine Tumors of the Liver: Comparison between Pre- and Post-Contrast Phases.

Objective: The reliability of size measurements of liver metastases from neuroendocrine tumors (NETs) on contrast-enhanced computed tomography (CT) phases made by different readers may be hampered due to transient, variable rim enhancement in arterial phase (AP) or portal venous phase (PVP) images. We aimed to assess the reliability of tumor size measurements in pre- and post-contrast scans. Materials and Methods: The study coordinator selected target lesions according to Response Evaluation Criteria in Solid Tumors 1.1 guidelines in 44 consecutive patients with pathologically confirmed NET liver metastases. Two blinded readers measured the longest diameters of target lesions on pre-contrast, AP, and PVP images twice with a 4-week interval. Inter- and intra-observer agreements were evaluated using Bland-Altman plots and 95% limit of agreement (LOA) calculations. Results: Of the 79 target lesions (approximate mean size of 3 cm), 45 showed rim enhancement. Inter-observer agreement assessed based on LOA was highest in pre-contrast CT images (-6.1-5.7 mm), followed by PVP (-7.9-7.1 mm) and AP (-8.5-7.4 mm) images. Intra-observer agreement showed the same trend: -2.8-2.9 mm and -2.9-2.9 mm for readers 1 and 2, respectively, on pre-contrast CT, -2.8-2.9 mm and -3.0-3.2 mm, respectively, on PVP, and -3.2-4.2 mm and -3.4-3.2 mm, respectively, on AP images. Mean tumor diameters differed significantly among the phases in the following increasing order: pre-contrast CT, PVP, and AP images. Conclusion: There was better inter- and intra-observer agreement in size measurements of NET liver metastases on precontrast scans than on AP and PVP scans. Pre-contrast CT may be the optimal for measuring NET liver metastases if its accuracy is proven.

Comparison of Clinical Features in a Population of Basic Military Trainees Versus the General Department of Defense Beneficiary Population Presenting With Influenza.

INTRODUCTION: Upper respiratory tract infection (URI) is a well-documented cause of morbidity, extra expense, and lost training time among basic military trainees (BMTs). The goal of this study was to characterize the clinical presentation of influenza in the BMT population and to better understand how this presentation differs from that of the general Department of Defense (DoD) beneficiary population (non-BMTs). MATERIALS AND METHODS: Clinical and demographic data were collected in a prospective study that enrolled DoD beneficiaries presenting to medical treatment facilities in San Antonio, Texas, with URI symptoms between January 2005 and March 2011. Vital signs and symptom duration were collected at the time of enrollment along with basic demographic information. RESULTS: Among 4,448 participants enrolled, 466 (10.5%) tested positive for influenza: 198 of 3,103 BMTs (6.4%) vs. 268 of 1,345 non-BMTs (20%) (p < 0.01); 412 of 466 had complete data for nine symptom-related variables. BMTs were more likely to be Caucasian males and younger than non-BMTs. BMTs had a higher temperature at the time of presentation (101.5°F vs. 100.5°F, p < 0.01). BMTs presented less frequently than non-BMTs with chills (79.7% vs. 94.4%, p < 0.01), malaise (62.1% vs. 87.0%, p < 0.01), nausea (30.2% vs. 43.0%, p < 0.01), and vomiting (12.1% vs. 21.7%, p = 0.01). Multiple logistic regression analysis showed that BMTs were less likely to have the four symptoms compared to non-BMTs even after controlling for gender and age (chills: odds ratio [OR] = 0.3, 95% confidence interval [CI] = 0.1-0.6, p < 0.01; malaise: OR = 0.5, 95% CI = 0.3-0.8, p < 0.01; nausea: OR = 0.5, 95% CI = 0.3-0.8, p < 0.01; vomiting: OR = 0.4, 95% CI = 0.2-0.8, p < 0.01). Although there was no difference in the frequency of subjective fever between the two groups, reported duration of fever was significantly shorter in BMTs than non-BMTs: median of 1 day (range 0-10) vs. 2 days (range 0-8) (p < 0.01). BMTs presented with a composite symptom index mean of 6.2 (standard deviation = 1.4) symptoms, whereas non-BMTs presented with a mean of 6.9 (standard deviation = 1.3) symptoms (p < 0.01). CONCLUSIONS: The pretest probability of a BMT presenting with URI symptoms having influenza is significantly lower than that for the general DoD beneficiary population. BMTs with influenza presented sooner, with higher fever, and with fewer overall symptoms than the general DoD beneficiary population. These differences are likely attributable to early reporting and response bias and less likely attributed to age. Military efforts to identify BMTs with suspected influenza infection early and to refer them for treatment promptly are efficacious.

[Correlates of Cognitive Impairment of Rheumatic Disease: Systematic Review and Meta-analysis].

PURPOSE: This study was conducted to synthesis the results of research on relationships of cognitive impairment with multi-dimensional correlates of rheumatic disease through a systematic literature review and meta-analysis. METHODS: For the study purpose, 23 studies were selected through a systematic process of searching the literature. RESULTS: The study results showed that among general characteristics, age and education were the variables having a significant relationship with cognitive impairment. Among health risk factors, obesity appeared to have a significant positive relationship with cognitive impairment. For past history, diabetes and hypertension were shown to have a significant positive relationship with cognitive impairment. It was noted also that aPL, one of the physiological factor, had significant association with cognitive impairment. None of the medication related factors had a significant relationship with cognitive impairment. Results showed that among disease related factors, disease activity had the highest relationship with cognitive impairment. Depression, among psychological factors, was the only variable having a significant relationship with cognitive impairment. CONCLUSION: The findings indicate that the variables strongly impacting on cognitive impairment in rheumatic disease are depression and disease activity.