Nevin Manimala

Qual Life Res. 2024 Feb 25. doi: 10.1007/s11136-023-03590-z. Online ahead of print.

ABSTRACT

OBJECTIVE: Although decision scientists and health economists encourage inclusion of family member/informal carer utility in health economic evaluation, there is a lack of suitable utility measures comparable to patient utility measures such those based on the EQ-5D. This study aims to predict EQ-5D-3L utility values from Family Reported Outcome Measure (FROM-16) scores, to allow the use of FROM-16 data in health economic evaluation when EQ-5D data is not available.

METHODS: Data from 4228 family members/partners of patients recruited to an online cross-sectional study through 58 UK-based patient support groups, three research support platforms and Welsh social services departments were randomly divided five times into two groups, to derive and test a mapping model. Split-half cross-validation was employed, resulting in a total of ten multinomial logistic regression models. The Monte Carlo simulation procedure was used to generate predicted EQ-5D-3L responses, and utility scores were calculated and compared against observed values. Mean error and mean absolute error were calculated for all ten validation models. The final model algorithm was derived using the entire sample.

RESULTS: The model was highly predictive, and its repeated fitting using multinomial logistic regression demonstrated a stable model. The mean differences between predicted and observed health utility estimates ranged from 0.005 to 0.029 across the ten modelling exercises, with an average overall difference of 0.015 (a 2.2% overestimate, not of clinical importance).

CONCLUSIONS: The algorithm developed will enable researchers and decision scientists to calculate EQ-5D health utility estimates from FROM-16 scores, thus allowing the inclusion of the family impact of disease in health economic evaluation of medical interventions when EQ-5D data is not available.

PMID:38402530 | DOI:10.1007/s11136-023-03590-z

Scand J Psychol. 2024 Feb 25. doi: 10.1111/sjop.13014. Online ahead of print.

ABSTRACT

The need for more people to register as organ donors is a pressing concern. This preregistered experiment examined whether portraying a patient in need of an organ transplant as leading a healthy lifestyle (an “innocent victim”) can serve to increase people’s intentions to register as post-mortem organ donors. Participants not previously registered as organ donors (N = 348) were randomly assigned to an innocent identified victim, non-innocent identified victim, or statistical victims condition. The identified victim was a 42 year-old woman in need of a liver transplant. The experimental manipulation produced marginally significant effects on self-reported intentions to register as an organ donor. Moreover, participants in the innocent victim condition were more likely relative to those in the non-innocent victim condition to sign up on an e-mail list to receive additional information about organ donation.

PMID:38402529 | DOI:10.1111/sjop.13014

J Forensic Sci. 2024 Feb 25. doi: 10.1111/1556-4029.15466. Online ahead of print.

ABSTRACT

Manual ground searches and cadaver dogs are traditional methods for locating remains, but they can be time- and resource-intensive, resulting in the decomposition of bodies and delay in victim identification. Therefore, thermal imaging has been proposed as a potentially useful tool for detecting remains based on their temperature. This study investigated the potential of a novel search technique of thermal drones to detect surface remains through the detection of maggot mass temperatures. Two trials were carried out at Selangor, Malaysia, each utilizing 12 healthy male Oryctolagus cuniculus European white rabbits and DJI Matrice 300 RTK drone China, equipped with a thermal camera; Zenmuse H20T to record the thermal imaging footage of the carcasses at various heights (15, 30, 60-100 m) for 14 days for each trial. Our results demonstrated that the larval masses and corresponding heat emissions were at their largest during the active decay stage; therefore, all the carcasses were observable in thermal images on day 5 and remained until day 7. Statistical analyses showed that (1) no statistically significant differences in thermal images between clothed and unclothed subjects (p > 0.05); (2) 15 m above ground level was proven to be the optimal height, as it showed the greatest contrast between the carcass heat signature and the background (p < 0.005). Our data suggested the potential window of detection of thermal signatures was detectable up to 7 days post-deposition. This could be an important guideline for the search and recovery teams for operational implementation in this tropical region.

PMID:38402526 | DOI:10.1111/1556-4029.15466

J Econ Entomol. 2024 Feb 25:toae029. doi: 10.1093/jee/toae029. Online ahead of print.

ABSTRACT

The Professional Pest Management Industry (PPMI) dates back over a century in the United States. Stakeholder calls for economic studies of the PPMI include, in the 1980s, the National Research Council, although there has been little to no progress on that topic. US Census and Bureau of Labor Statistics data indicate that revenue and employment for the PPMI in Georgia increased 117% from 1997 to 2021. We determined the revenue, employment, and economic contributions for the PPMI in Georgia, United States, using 2 methodologies applied to IMPLAN: primary survey data in combination with an open records request and publicly available Federal Economic data. Estimates of average revenue for the Georgia PPMI in 2021 were $833-$988 million, using the survey/open records and publicly available data, respectively. We utilized an economic modeling program, IMPLAN, to estimate the economic contributions by the Georgia PPMI in 2021 to be between $1.7 and $2.0 billion, with 13,000-14,000 jobs for the 2 respective data sets. We describe the methods and provide tutorials for other states or national organizations to follow to generate justifiable, comparable economic information on the PPMI. In addition, we discuss the unique position of the PPMI as heavily regulated by State Departments of Agriculture to advocate for including the PPMI economic values when reporting agricultural economic contributions.

PMID:38402524 | DOI:10.1093/jee/toae029

Clin Exp Nephrol. 2024 Feb 25. doi: 10.1007/s10157-024-02461-2. Online ahead of print.

ABSTRACT

BACKGROUND: The effects of exercise therapy (ET) on renal function in chronic kidney disease (CKD) remain unclear.

METHODS: In a randomized controlled trial (UMIN-CTR number: UMIN000038415), we investigated whether ET affects renal function in CKD; eligible patients had undergone renal biopsy in the past 3 months. We stratified patients by disease (immunoglobulin A [IgA] nephropathy, n = 16; diabetic nephropathy, n = 4; benign nephrosclerosis, n = 13; and other CKD types, n = 13) and randomized them to 12 weeks’ observation and 24 weeks’ ET comprising home-based aerobic exercise 3×/week and resistance training 2×/week (intervention group) or usual care (non-intervention group). Primary endpoint was creatinine-based estimated glomerular filtration rate (eGFR) or serum cystatin C-based eGFR (eGFRcys). Secondary endpoints included urinary protein and exercise tolerance.

RESULTS: Seventy patients were enrolled, 50 fulfilled the inclusion criteria, but 4 discontinued before randomization. No items significantly differed between week 0 to 24 in either group (intervention group, n = 23; non-intervention group, n = 23) or between groups at week 24 (intention-to-treat population) in the total study population. The eGFRcys slope showed no significant intergroup difference in the observation period, but eGFRcys improved significantly in IgA nephropathy patients (n = 16) in the intervention group (stratified comparison; week 0, 48.3 ± 18.2; week 24, 51.6 ± 17.6; p = 0.043). In these patients, urinary protein was significantly worse at week 24 in the non-intervention group (p = 0.046) and worsened significantly less in the intervention group (p = 0.039).

CONCLUSION: ET did not improve renal function overall in CKD patients but might help maintain renal function in patients with IgA nephropathy.

PMID:38402501 | DOI:10.1007/s10157-024-02461-2

Int J Rheum Dis. 2024 Feb;27(2):e15096. doi: 10.1111/1756-185X.15096.

ABSTRACT

AIM: This study aims to evaluate the long-term efficacy, safety, and cumulative retention rate of antitumor necrosis factor-alpha (anti-TNF-α) therapy for patients with Behcet’s uveitis (BU) using meta-analysis.

METHODS: We searched the Web of Science and PubMed databases for eligible studies up to December 1, 2022. The quality of each identified study was assessed using the Joanna Briggs Institute’s case series literature quality assessment tool. Statistical analysis was conducted using Stata 16.0 software with a random-effects model.

RESULTS: Twelve studies comprising 1156 patients with BU were included in our analysis. We found that 85.0% of patients achieved ocular inflammation remission after receiving anti-TNF-α treatment, with a 95% confidence interval (CI) ranging from 78.7% to 90.5%. Additionally, 77.4% (95% CI: 57.5%-92.5%) experienced an improvement in visual acuity (VA). Moreover, the pooled dose reduction of glucocorticoids (GCs) was 11.08 mg (95% CI: -13.34 mg to -8.83 mg). Throughout the follow-up period, the cumulative retention rate of the medication was 67.3% (95% CI: 53.7%-79.6%). Serious adverse events occurred in 5.8% (95% CI: 3.1%-8.9%) of cases, with the three most common types being severe infusion or injection reactions (2.7%; 95% CI: 0.8%-5.4%), tuberculosis (1.3%; 95% CI: 0.0%-3.9%), and bacterial pneumonia (1.3%; 95% CI: 0.1%-3.4%). Subgroup analysis revealed that ocular inflammation remission rates were 89.3% (95% CI: 81.2%-95.5%) for adalimumab treatment and 83.7% (95% CI: 75.3%-90.8%) for infliximab treatment. The drug retention rate after adalimumab therapy was 70.3% (95% CI: 62.0%-78.0%) compared to 66.4% (95% CI: 48.6%-82.2%) for infliximab treatment. Furthermore, the incidence of severe infusion or injection reactions was 2.2% (95% CI: 0.1%-5.8%) following adalimumab treatment and 3.5% (95% CI: 0.7%-7.7%) following infliximab treatment.

CONCLUSIONS: Anti-TNF-α therapy represents an effective treatment for BU patients with favorable safety profile and high drug retention rate and a potential advantage of adalimumab over infliximab in terms of ocular inflammation remission, drug retention, and the incidence of severe infusion or injection reactions.

PMID:38402428 | DOI:10.1111/1756-185X.15096

HGG Adv. 2024 Feb 23:100280. doi: 10.1016/j.xhgg.2024.100280. Online ahead of print.

ABSTRACT

Polygenic scores (PGS) are quantitative metrics for predicting phenotypic values, such as human height or disease status. Some PGS methods require only summary statistics of a relevant genome-wide association study (GWAS) for their score. One such method is Lassosum, which inherits the model selection advantages of Lasso to select a meaningful subset of the GWAS single nucleotide polymorphisms as predictors from their association statistics. However, even efficient scores like Lassosum, when derived from European-based GWAS, are poor predictors of phenotype for subjects of non-European ancestry; that is, they have limited portability to other ancestries. To increase the portability of Lassosum, when GWAS information and estimates of linkage disequilibrium are available for both ancestries, we propose Joint-Lassosum. In the simulation settings we explore, Joint-Lassosum provides more accurate PGS compared with other methods, especially when measured in terms of fairness. In analyses of UK Biobank data, JLS was computationally more efficient but slightly less accurate than a Bayesian comparator, SDPRX. Like all PGS methods, Joint-Lassosum requires selection of predictors, which are determined by data-driven tuning parameters. We describe a new approach to selecting tuning parameters and note its relevance for model selection for any PGS. We also draw connections to the literature on algorithmic fairness and discuss how Joint-Lassosum can help mitigate fairness-related harms that might result from the use of PGS scores in clinical settings. While no PGS method is likely to be universally portable, due to the diversity of human populations and unequal information content of GWAS for different ancestries, Joint-Lassosum is an effective approach for enhancing portability and reducing predictive bias.

PMID:38402414 | DOI:10.1016/j.xhgg.2024.100280

Microb Cell Fact. 2024 Feb 24;23(1):67. doi: 10.1186/s12934-024-02319-y.

ABSTRACT

BACKGROUND: In recent years, the production of inclusion bodies that retain substantial catalytic activity was demonstrated. These catalytically active inclusion bodies (CatIBs) are formed by genetic fusion of an aggregation-inducing tag to a gene of interest via short linker polypeptides. The resulting CatIBs are known for their easy and cost-efficient production, recyclability as well as their improved stability. Recent studies have outlined the cooperative effects of linker and aggregation-inducing tag on CatIB activities. However, no a priori prediction is possible so far to indicate the best combination thereof. Consequently, extensive screening is required to find the best performing CatIB variant.

RESULTS: In this work, a semi-automated cloning workflow was implemented and used for fast generation of 63 CatIB variants with glucose dehydrogenase of Bacillus subtilis (BsGDH). Furthermore, the variant BsGDH-PT-CBDCell was used to develop, optimize and validate an automated CatIB screening workflow, enhancing the analysis of many CatIB candidates in parallel. Compared to previous studies with CatIBs, important optimization steps include the exclusion of plate position effects in the BioLector by changing the cultivation temperature. For the overall workflow including strain construction, the manual workload could be reduced from 59 to 7 h for 48 variants (88%). After demonstration of high reproducibility with 1.9% relative standard deviation across 42 biological replicates, the workflow was performed in combination with a Bayesian process model and Thompson sampling. While the process model is crucial to derive key performance indicators of CatIBs, Thompson sampling serves as a strategy to balance exploitation and exploration in screening procedures. Our methodology allowed analysis of 63 BsGDH-CatIB variants within only three batch experiments. Because of the high likelihood of TDoT-PT-BsGDH being the best CatIB performer, it was selected in 50 biological replicates during the three screening rounds, much more than other, low-performing variants.

CONCLUSIONS: At the current state of knowledge, every new enzyme requires screening for different linker/aggregation-inducing tag combinations. For this purpose, the presented CatIB toolbox facilitates fast and simplified construction and screening procedures. The methodology thus assists in finding the best CatIB producer from large libraries in short time, rendering possible automated Design-Build-Test-Learn cycles to generate structure/function learnings.

PMID:38402403 | DOI:10.1186/s12934-024-02319-y

Clin Proteomics. 2024 Feb 24;21(1):15. doi: 10.1186/s12014-024-09458-9.

ABSTRACT

BACKGROUND: Hypertension is an important public health priority with a high prevalence in Africa. It is also an independent risk factor for kidney outcomes. We aimed to identify potential proteins and pathways involved in hypertension-associated albuminuria by assessing urinary proteomic profiles in black South African participants with combined hypertension and albuminuria compared to those who have neither condition.

METHODS: The study included 24 South African cases with both hypertension and albuminuria and 49 control participants who had neither condition. Protein was extracted from urine samples and analysed using ultra-high-performance liquid chromatography coupled with mass spectrometry. Data were generated using data-independent acquisition (DIA) and processed using Spectronaut™ 15. Statistical and functional data annotation were performed on Perseus and Cytoscape to identify and annotate differentially abundant proteins. Machine learning was applied to the dataset using the OmicLearn platform.

RESULTS: Overall, a mean of 1,225 and 915 proteins were quantified in the control and case groups, respectively. Three hundred and thirty-two differentially abundant proteins were constructed into a network. Pathways associated with these differentially abundant proteins included the immune system (q-value [false discovery rate] = 1.4 × 10^{– 45}), innate immune system (q = 1.1 × 10^{– 32}), extracellular matrix (ECM) organisation (q = 0.03) and activation of matrix metalloproteinases (q = 0.04). Proteins with high disease scores (76-100% confidence) for both hypertension and chronic kidney disease included angiotensinogen (AGT), albumin (ALB), apolipoprotein L1 (APOL1), and uromodulin (UMOD). A machine learning approach was able to identify a set of 20 proteins, differentiating between cases and controls.

CONCLUSIONS: The urinary proteomic data combined with the machine learning approach was able to classify disease status and identify proteins and pathways associated with hypertension-associated albuminuria.

PMID:38402394 | DOI:10.1186/s12014-024-09458-9

BMC Cancer. 2024 Feb 24;24(1):263. doi: 10.1186/s12885-024-11990-8.

ABSTRACT

BACKGROUND: Whether Transanal drainage tubes (TDTs) placement reduces the occurrence of anastomotic leakage (AL) after rectal cancer (RC) surgery remains controversial. Most existing meta-analyses rely on retrospective studies, while the prospective studies present an inadequate level of evidence.

METHODS: A systematic review and meta-analysis of prospective studies on TDTs placement in RC patients after surgery was conducted. The main analysis index was the incidence of AL, Grade B AL, and Grade C AL, while secondary analysis index was the incidence of anastomotic bleeding, incision infection, and anastomotic stenosis. A comprehensive literature search was performed utilizing the databases Cochrane Library, Embase, PubMed, and Web of Science. We recorded Risk ratios (RRs) and 95% confidence intervals (CI) for each included study, and a fixed-effect model or random-effect model was used to investigate the correlation between TDTs placement and four outcomes after RC surgery.

RESULTS: Seven studies (1774 participants, TDT 890 vs non-TDT 884) were considered eligible for quantitative synthesis and meta-analysis. The meta-analysis revealed that the incidence of AL was 9.3% (83/890) in the TDT group and 10.2% (90/884) in the non-TDT group. These disparities were found to lack statistical significance (P = 0.58). A comprehensive meta-analysis, comprising four studies involving a cumulative sample size of 1259 participants, revealed no discernible disparity in the occurrence of Grade B AL or Grade C AL between the TDT group and the non-TDT group (Grade B AL: TDT 34/631 vs non-TDT 26/628, P = 0.30; Grade C AL: TDT 11/631 vs non-TDT 27/628, P = 0.30). Similarly, the incidences of anastomotic bleeding (4 studies, 876 participants), incision infection (3studies, 713 participants), and anastomotic stenosis (2studies, 561 participants) were 5.5% (24/440), 8.1% (29/360), and 2.9% (8/280), respectively, in the TDT group, and 3.0% (13/436), 6.5% (23/353), and 3.9% (11/281), respectively, in the non-TDT group. These differences were also determined to lack statistical significance (P = 0.08, P = 0.43, P = 0.48, respectively).

CONCLUSION: The placement of TDTs does not significantly affect the occurrence of AL, Grade B AL, and Grade C AL following surgery for rectal cancer. Additionally, TDTs placement does not be associated with increased complications such as anastomotic bleeding, incision infection, or anastomotic stenosis.

TRIAL REGISTRATION: PROSPERO: CRD42023427914.

PMID:38402391 | DOI:10.1186/s12885-024-11990-8