Tag: nevin manimala

Int J Ment Health Syst. 2024 Jul 15;18(1):26. doi: 10.1186/s13033-024-00643-9.

ABSTRACT

Integration of diagnosis and treatment for mental, neurological, and substance use (MNS) disorders into primary health care is a recommended strategy to improve access to services in low-and middle-income countries. Despite numerous initiatives for integration of mental health care in Uganda, there has not been an evaluation of health management information system (HMIS) records to determine whether MNS disorders are routinely diagnosed. We sought to determine diagnostic pattern of MNS disorders at primary health facilities in Wakiso and Kampala districts, the most populous regions of Uganda. Lower-level primary health facilities were visited to obtain records from HMIS registers, to document diagnoses of MNS disorders. Secondary data analysis was conducted and descriptive statistics reported. A total of 40 primary health care facilities were visited representing 58.6% of the health facilities in the study districts. More than half (54.8%) and almost all (87.5%) of the lower-level health facilities in Wakiso district and Kampala district respectively were visited. The proportion of MNS disorders diagnosed at lower-level primary health facilities in Uganda is very low with Epilepsy the most common MNS diagnosis recorded. Reasons for such low numbers of diagnoses at primary health facilities are discussed as are possible solutions.

PMID:39010128 | DOI:10.1186/s13033-024-00643-9

Malar J. 2024 Jul 15;23(1):209. doi: 10.1186/s12936-024-05032-8.

ABSTRACT

BACKGROUND: Malaria remains a global health challenge, particularly in Peru’s Loreto region. Despite ongoing efforts, high infection rates and asymptomatic cases perpetuate transmission. The Peruvian Ministry of Health’s “Zero Malaria Plan” targets elimination. This novel study combines microscopic, molecular, and serological techniques to assess transmission intensity, identify epidemiological risk factors, and characterize species-specific patterns across villages. The findings aim to inform targeted interventions and support broader malaria elimination efforts in line with the Zero Malaria Plan initiative.

METHODS: A cross-sectional malaria survey was conducted in the Zungarococha community, comprising the villages Llanchama (LL), Ninarumi (NI), Puerto Almendra (PA), and Zungarococha (ZG), using microscopic, molecular, and serological techniques to evaluate malaria transmission intensity. Statistical analysis, including multivariate-adjusted analysis, seroprevalence curves, and spatial clustering analysis, were performed to assess malaria prevalence, exposure, and risk factors.

RESULTS: The survey revealed a high prevalence of asymptomatic infections (6% by microscopy and 18% by PCR), indicating that molecular methods are more sensitive for detecting asymptomatic infections. Seroprevalence varied significantly between villages, reflecting the heterogeneous malaria transmission dynamics. Multivariate analysis identified age, village, and limited bed net use as significant risk factors for malaria infection and species-specific exposure. Seroprevalence curves demonstrated community-specific patterns, with Llanchama and Puerto Almendra showing the highest seroconversion rates for both Plasmodium species.

CONCLUSIONS: The study highlights the diverse nature of malaria transmission in the Loreto region, particularly nothing the pronounced heterogeneity as transmission rates decline, especially in residual malaria scenarios. The use of molecular and serological techniques enhances the detection of current infections and past exposure, aiding in the identification of epidemiological risk factors. These findings underscore the importance of using molecular and serological tools to characterize malaria transmission patterns in low-endemic areas, which is crucial for planning and implementing targeted interventions and elimination strategies. This is particularly relevant for initiatives like the Zero Malaria Plan in the Peruvian Amazon.

PMID:39010126 | DOI:10.1186/s12936-024-05032-8

Parasit Vectors. 2024 Jul 15;17(1):305. doi: 10.1186/s13071-024-06376-5.

ABSTRACT

BACKGROUND: Chagas disease (CD), a neglected parasitic disease caused by Trypanosoma cruzi, poses a significant health threat in Latin America and has emerged globally because of human migration. Trypanosoma cruzi infects humans and over 100 other mammalian species, including dogs, which are important sentinels for assessing the risk of human infection. Nonetheless, the serodiagnosis of T. cruzi in dogs is still impaired by the absence of commercial tests. In this study, we investigated the diagnostic accuracy of four chimeric recombinant T. cruzi IBMP antigens (IBMP-8.1, IBMP-8.2, IBMP-8.3, and IBMP-8.4) for detecting anti-T. cruzi antibodies in dogs, using latent class analysis (LCA).

METHODS: We examined 663 canine serum samples, employing indirect ELISA with the chimeric antigens. LCA was utilized to establish a latent variable as a gold standard for T. cruzi infection, revealing distinct response patterns for each antigen.

RESULTS: The IBMP (Portuguese acronym for the Molecular Biology Institute of Paraná) antigens achieved area under the ROC curve (AUC) values ranging from 90.9% to 97.3%. The highest sensitivity was attributed to IBMP-8.2 (89.8%), while IBMP-8.1, IBMP-8.3, and IBMP-8.4 achieved 73.5%, 79.6%, and 85.7%, respectively. The highest specificity was observed for IBMP-8.4 (98.6%), followed by IBMP-8.2, IBMP-8.3, and IBMP-8.1 with specificities of 98.3%, 94.4%, and 92.7%, respectively. Predictive values varied according to prevalence, indicating higher effectiveness in endemic settings.

CONCLUSIONS: Our findings underscore the remarkable diagnostic performance of IBMP-8.2 and IBMP-8.4 for the serodiagnosis of Trypanosoma cruzi in dogs, representing a promising tool for the diagnosis of CD in dogs. These chimeric recombinant antigens may not only enhance CD surveillance strategies but also hold broader implications for public health, contributing to the global fight against this neglected tropical disease.

PMID:39010122 | DOI:10.1186/s13071-024-06376-5

Perioper Med (Lond). 2024 Jul 15;13(1):73. doi: 10.1186/s13741-024-00430-7.

ABSTRACT

BACKGROUND: Presurgical optimisation programmes decrease the risk of postoperative complications, reduce hospital stays and speed up patient recovery. They usually involve a multidisciplinary team addressing physical, nutritional and psychosocial issues. The objective of this study was to assess the results of implementing a presurgical optimisation programme led by a liaison nurse in patients undergoing major surgery in a primary general hospital.

METHODS: An observational, retrospective, descriptive, cross-sectional, comparative study based on the revision of patients’ health records undergoing major surgery between January 2019 and December 2022. Patients entering the presurgical optimisation programme (intervention group) were compared with patients receiving usual medical care (control group). The presurgical optimisation programme consisted of oral nutritional supplementation, physical exercise, strengthening of lung capacity and psychological and emotional support. Frequency (%) of surgery complications and use of healthcare resources (duration of hospitalisation, time spent in the intensive care unit (ICU), and readmission) at day 30 were recorded. Descriptive statistics were applied.

RESULTS: Two hundred eleven patients (58.5% men, mean age: 65.76 years (SD 11.5), 75.2%. non-smokers; mean body mass index (BMI): 28.32 (SD 5.38); mean Nutritional Risk Score (NRS) 3.71 (SD 1.35; oncology diagnosis: 88.6%) were included: 135 in the intervention group, and 76 in the control group. The average duration of the presurgical optimisation programme was 20 days (SD 5). Frequency of postoperative complications was 25% (n = 33) in the intervention group and 52.6% (n = 40) in the control group (p < 0.001) [odds ratio (OR) = 3.4; 95% confidence interval (CI) (1.8; 6.2)]. 14.5% (n = 19) of patients in the intervention group and 34.2% (n = 26) in the control group had remote postoperative complications [OR = 3.1; 95% CI (1.6; 6.2)]. Patients in the intervention group spent fewer days in the hospital [mean 8.34 (SD 6.70) vs 11.63 (SD 10.63)], and there were fewer readmissions at 30 days (7.6% vs 19.7%) compared with the control group.

CONCLUSIONS: A presurgical optimisation programme led by a liaison nurse decreases the rate of immediate and late surgical complications and reduces hospital stays and readmissions in patients undergoing major surgery.

PMID:39010120 | DOI:10.1186/s13741-024-00430-7

Malar J. 2024 Jul 15;23(1):210. doi: 10.1186/s12936-024-05041-7.

ABSTRACT

BACKGROUND: Asymptomatic malaria in pregnancy (AMiP) is a daunting public health problem with multifaceted adverse outcomes for mothers, fetuses, newborns and beyond. This study aimed to assess the prevalence and risk factors of AMiP and anaemia in Majang Zone, Gambella, Southwest Ethiopia.

METHODS: A facility-based cross-sectional study was conducted among 425 pregnant women attending the antenatal care (ANC) clinics of five health facilities in the Majang Zone from November 2022 to February 2023. Sociodemographic, obstetric, and anti-malarial intervention data were collected using an interviewer-administered questionnaire. A capillary blood specimen was collected to diagnose malaria and anaemia as well as determine the blood group. Malaria was diagnosed by rapid diagnostic test (RDT), microscopy, and quantitative polymerase chain reaction (qPCR). Statistical analyses were done by Statistical Package for Social Science (SPSS) version 26.0. The association between dependent and independent variables was assessed by multivariable binary logistic regression, considering P < 0.05 statistically significant. The magnitude of associations was quantified with the adjusted odds ratio (AOR) along with the corresponding 95% confidence interval (CI).

RESULTS: The overall prevalence of AMiP was 15.3% (95% CI 12.1, 18.9). It was 11.3% (95% CI 8.4, 14.7) by RDT, 11.8% (95% CI 8.9, 15.2) by microscopy and 17.6% (95% CI 11.7, 24.9) by qPCR. Plasmodium falciparum, moderate parasitaemia and submicroscopic infection accounted for 55.4% of the AMiP prevalence, 50.8% of the parasite density, and 41.6% of the qPCR-positive AMiP, respectively. Nearly 32.3% of pregnant women with AMiP carried gametocytes. Risk factors of AMiP were: not utilizing insecticide-treated net (ITN) within the previous week (AOR: 9.43 95% CI 1.57, 56.62), having a history of malaria within the previous year (AOR: 2.26 95% CI 1.16, 4.42), lack of indoor residual spraying (IRS) within the previous year (AOR: 3.00 95% CI 1.50, 6.00), and ANC contact below two rounds (AOR: 4.28 95% CI 2.06, 8.87). The prevalence of anaemia was 27.7% (95% CI 23.6, 32.1), and it was higher among AMiP-positives (56.9%) than the negatives (22.5%) (P: 000).

CONCLUSION: The prevalence of AMiP and anaemia was high, and remained as a critical public health problem in the study area. Focus on the identified risk factors and introduction of more sensitive diagnostic tools should be considered to mitigate AMiP in the study area.

PMID:39010115 | DOI:10.1186/s12936-024-05041-7

J Surg Res. 2024 Jul 14;301:308-314. doi: 10.1016/j.jss.2024.06.002. Online ahead of print.

ABSTRACT

INTRODUCTION: Congenital diaphragmatic hernia (CDH) is readily prenatally diagnosed and associated with significant perinatal morbidity and mortality. Delivery at facilities with adequate resources for neonatal resuscitation, such as Children’s Surgery Verification (CSV) centers, is recommended; however, disparities have been clinically noted. We aimed to characterize locoregional care of CDH and the impact of race and ethnicity.

METHODS: We conducted a population-based study using the Texas Inpatient Public Use Data File to identify infants <1 y-old with CDH based on international classification of diseases 9/10 codes (2013-2021). Only initial birth admissions in the Houston region were included. Data was analyzed using descriptive statistics and chi-squared analysis.

RESULTS: We identified 257 newborns with CDH. While births were noted across 29 facilities, the majority were at the 2 CSV centers in Houston. There was no significant difference in illness severity, prematurity or insurance status by race. Black and ‘other’ patients were less likely to deliver at CSV facilities (Black 32% versus ‘Other’ 48% versus White 70% versus Asian 81%; P < 0.01), receive ECMO (Black 6% versus ‘Other’ 5% versus White 19% versus Asian 29%; P < 0.01) or undergo a CDH repair (Black 26% versus ‘Other’ 33% versus White 51% versus Asian 71%; P < 0.01) on their index admission and had lower average daily costs (Black $10,292 [$3219-25,021] versus ‘Other’ $9106 [$3617-15,672] versus White $12,906 [$9038-18,550] versus Asian $12,896 [$7469-23,817]; P < 0.05). Additionally, black and ‘other’ patients were more likely to be transferred (Black 23% versus ‘Other’ 28% versus White 12% versus Asian 14%; P < 0.05). None of the patients born at CSV centers transferred.

CONCLUSIONS: Most Houston-born patients deliver at high-resource centers; however, Black and ‘other’ patients are less likely to deliver at CSV centers and more likely to require transfer during the critical neonatal period. This suggests a vulnerable population which may benefit from targeted intervention to improve prenatal care and delivery planning.

PMID:39008914 | DOI:10.1016/j.jss.2024.06.002

Int J Epidemiol. 2024 Jun 12;53(4):dyae098. doi: 10.1093/ije/dyae098.

ABSTRACT

BACKGROUND: Epstein-Barr virus (EBV) is a major cause of nasopharyngeal carcinoma (NPC) and measurement of different EBV antibodies in blood may improve early detection of NPC. Prospective studies can help assess the roles of different EBV antibodies in predicting NPC risk over time.

METHODS: A case-cohort study within the prospective China Kadoorie Biobank of 512 715 adults from 10 (including two NPC endemic) areas included 295 incident NPC cases and 745 subcohort participants. A multiplex serology assay was used to quantify IgA and IgG antibodies against 16 EBV antigens in stored baseline plasma samples. Cox regression was used to estimate adjusted hazard ratios (HRs) for NPC and C-statistics to assess the discriminatory ability of EBV-markers, including two previously identified EBV-marker combinations, for predicting NPC.

RESULTS: Sero-positivity for 15 out of 16 EBV-markers was significantly associated with higher NPC risk. Both IgA and IgG antibodies against the same three EBV-markers showed the most extreme HRs, i.e. BGLF2 (IgA: 124.2 (95% CI: 63.3-243.9); IgG: 8.6 (5.5-13.5); LF2: [67.8 (30.0-153.1), 10.9 (7.2-16.4)]); and BFRF1: 26.1 (10.1-67.5), 6.1 (2.7-13.6). Use of a two-marker (i.e. LF2/BGLF2 IgG) and a four-marker (i.e. LF2/BGLF2 IgG and LF2/EA-D IgA) combinations yielded C-statistics of 0.85 and 0.84, respectively, which persisted for at least 5 years after sample collection in both endemic and non-endemic areas.

CONCLUSIONS: In Chinese adults, plasma EBV markers strongly predict NPC occurrence many years before clinical diagnosis. LF2 and BGLF2 IgG could identify NPC high-risk individuals to improve NPC early detection in community and clinical settings.

PMID:39008896 | DOI:10.1093/ije/dyae098

J Phys Chem A. 2024 Jul 15. doi: 10.1021/acs.jpca.4c00077. Online ahead of print.

ABSTRACT

We demonstrate the use of gradient-boosted ensemble models that accurately predict emission wavelengths in benzobis[1,2-d:4,5-d‘]oxazole (BBO) based fluorescent emitters. We have curated a database of 50 molecules from previously published data by the Jeffries-EL group using density functional theory (DFT) computed ground and excited state features. We consider two machine learning (ML) models based on (i) whole cruciform molecules and (ii) their constituent fragment molecules. Both ML models provide accurate predictions with root-mean-square errors between 30 and 36 nm, competitive with state-of-the-art deep learning models trained on orders of magnitude more molecules, and this accuracy holds even when tested on four new BBO emitters unseen by the models. We also provide an interpretable feature importance analysis and discuss the relevant relationships between DFT and changes in predicted emission wavelength.

PMID:39008894 | DOI:10.1021/acs.jpca.4c00077

J Proteome Res. 2024 Jul 15. doi: 10.1021/acs.jproteome.4c00249. Online ahead of print.

ABSTRACT

Lipidomics emerges as a promising research field with the potential to help in personalized risk stratification and improve our understanding on the functional role of individual lipid species in the metabolic perturbations occurring in coronary artery disease (CAD). This study aimed to utilize a machine learning approach to provide a lipid panel able to identify patients with obstructive CAD. In this posthoc analysis of the prospective CorLipid trial, we investigated the lipid profiles of 146 patients with suspected CAD, divided into two categories based on the existence of obstructive CAD. In total, 517 lipid species were identified, from which 288 lipid species were finally quantified, including glycerophospholipids, glycerolipids, and sphingolipids. Univariate and multivariate statistical analyses have shown significant discrimination between the serum lipidomes of patients with obstructive CAD. Finally, the XGBoost algorithm identified a panel of 17 serum biomarkers (5 sphingolipids, 7 glycerophospholipids, a triacylglycerol, galectin-3, glucose, LDL, and LDH) as totally sensitive (100% sensitivity, 62.1% specificity, 100% negative predictive value) for the prediction of obstructive CAD. Our findings shed light on dysregulated lipid metabolism’s role in CAD, validating existing evidence and suggesting promise for novel therapies and improved risk stratification.

PMID:39008891 | DOI:10.1021/acs.jproteome.4c00249

Ann Intern Med. 2024 Jul;177(7):983-984. doi: 10.7326/ANNALS-24-00080.

NO ABSTRACT

PMID:39008883 | DOI:10.7326/ANNALS-24-00080