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Introduction: Globally, hypertension is considered a public health problem affecting over 1.3 billion individuals of which 60% need reminders to take medication to achieve adherence, optimal blood pressure and avert complications. Literature shows electronic short message reminders (eSMS) improved medication adherence., Objective: To determine the effect of e-SMS reminders on medication adherence among hypertensive patients in Katsina State., Methods: A quasi-experimental study was employed to determine the effect of e-SMS reminders on medication adherence among 252 control and 252 intervention groups selected using a multistage sampling technique. e-SMS reminders were sent to the intervention group only. Data was collected using a pretested interviewer-administered questionnaire, and analysed using IBM-SPSS-25, while medication adherence was assessed using the 8-item Modified Morisky Adherence Scale., Results: The commonest respondents' age group was 40-49 years (23.8%) and Male-Female ratio was 0.8:1 Majority were Hausas (97.6%) by tribe and Muslims (98%). Adherence in the study group was 59.5% and 75.9% (P<0.001) that of the control group was 63.1% and 66% at pre and post-intervention stages respectively. Factors associated with adherence in the intervention group were sex, occupation, insurance coverage, and being in the 4th wealth quintile. e-SMS reminder increased adherence in the intervention groups by >16% (P<0.001) In the control group, males were 3.4 times more likely to adhere to medication than females (aOR 3.4; 95% CI 1.4-8.3) while in the intervention group, business tycoons were 3 times more likely to adhere to medication than other occupations (aOR 3.7; 95% CI 1.006-13.75;)., Conclusion: e-SMS reminders significantly increased adherence to the intervention. Determinants of adherence were occupation, male sex, insurance coverage, and being in the 4th wealth quintile. It is recommended that the State Hospital Management Board integrate e-SMS reminders as part of hypertension treatment protocols due to their potential to improve medication adherence., Competing Interests: The Authors declare that no competing interest exists, (Copyright © 2024 by West African Journal of Medicine.)

Lack of an effective early sign language learning framework for a hard-of-hearing population can have traumatic consequences, causing social isolation and unfair treatment in workplaces. Alphabet and digit detection methods have been the basic framework for early sign language learning but are restricted by performance and accuracy, making it difficult to detect signs in real life. This article proposes an improved sign language detection method for early sign language learners based on the You Only Look Once version 8.0 (YOLOv8) algorithm, referred to as the intelligent sign language detection system (iSDS), which exploits the power of deep learning to detect sign language-distinct features. The iSDS method could overcome the false positive rates and improve the accuracy as well as the speed of sign language detection. The proposed iSDS framework for early sign language learners consists of three basic steps: (i) image pixel processing to extract features that are underrepresented in the frame, (ii) inter-dependence pixel-based feature extraction using YOLOv8, (iii) web-based signer independence validation. The proposed iSDS enables faster response times and reduces misinterpretation and inference delay time. The iSDS achieved state-of-the-art performance of over 97% for precision, recall, and F1-score with the best mAP of 87%. The proposed iSDS method has several potential applications, including continuous sign language detection systems and intelligent web-based sign recognition systems., Competing Interests: The authors declare there are no competing interests., (©2024 Alamri et al.)

Recognition of lying is a more complex cognitive process than truth-telling because of the presence of involuntary cognitive cues that are useful to lie recognition. Researchers have proposed different approaches in the literature to solve the problem of lie recognition from either handcrafted and/or automatic lie features during court trials and police interrogations. Unfortunately, due to the cognitive complexity and the lack of involuntary cues related to lying features, the performances of these approaches suffer and their generalization ability is limited. To improve performance, this study proposed state transition patterns based on hands, body motions, and eye blinking features from real-life court trial videos. Each video frame is represented according to a computed threshold value among neighboring pixels to extract spatial-temporal state transition patterns (STSTP) of the hand and face poses as involuntary cues using fully connected convolution neural network layers optimized with the weights of ResNet-152 learning. In addition, this study computed an eye aspect ratio model to obtain eye blinking features. These features were fused together as a single multi-modal STSTP feature model. The model was built using the enhanced calculated weight of bidirectional long short-term memory. The proposed approach was evaluated by comparing its performance with current state-of-the-art methods. It was found that the proposed approach improves the performance of detecting lies.

Complex hand gesture interactions among dynamic sign words may lead to misclassification, which affects the recognition accuracy of the ubiquitous sign language recognition system. This paper proposes to augment the feature vector of dynamic sign words with knowledge of hand dynamics as a proxy and classify dynamic sign words using motion patterns based on the extracted feature vector. In this method, some double-hand dynamic sign words have ambiguous or similar features across a hand motion trajectory, which leads to classification errors. Thus, the similar/ambiguous hand motion trajectory is determined based on the approximation of a probability density function over a time frame. Then, the extracted features are enhanced by transformation using maximal information correlation. These enhanced features of 3D skeletal videos captured by a leap motion controller are fed as a state transition pattern to a classifier for sign word classification. To evaluate the performance of the proposed method, an experiment is performed with 10 participants on 40 double hands dynamic ASL words, which reveals 97.98% accuracy. The method is further developed on challenging ASL, SHREC, and LMDHG data sets and outperforms conventional methods by 1.47%, 1.56%, and 0.37%, respectively.

Background: Human Immuno-Deficiency Virus (HIV) remains one of the world's significant public health challenges. Viral suppression is the key indicator for treatment success in People living with HIV (PLHIV). We determined the level of viral suppression, and its associated factors among PLHIV attending Federal Medical Centre Katsina (FMC Katsina), Nigeria., Methods: This retrospective descriptive cross-sectional study was conducted on 913 HIV positive adults enrolled in care between January 2009 and December 2019. Information on socio-demographics, clinical, immunological, Viral load (VL), and other relevant parameters were extracted from the patients' care records. The primary outcome was the proportion of patients that achieved viral suppression. We also analyzed variables that were associated with VL suppression., Results: Of 913, records of 831 (91.0%) registered patients were analyzed. During the period, 751 (90.4%) achieved viral suppression, 427 (51.4%) had CD4 counts  ≥ 500 and 477 (57.4%) were on HAART for ≥ 5 years. Majority, 793 (95.4%) were on first-line HAART regimen (Tenofovir-Lamivudine-Dolutegravir or Abacavir-Lamivudine-Dolutegravir), and 809 (97.4%) in the non-advanced stage (WHO stages 1 and 2). The median (interquartile range) of viral load was 20 (20-40) vs 19,989 (3311-110,340) cp/ml in virally suppressed, and unsuppressed  respectively. Factors associated with viral suppression included being unemployed (Adjusted OR [AOR] 4.9, 95% CI 2.771, 8.539), educated (AOR 4.2, 95% CI 1.098, 16.223), having a baseline CD4 count ≥ 500 cells/µl (AOR 2.7, 95% CI 1.588, 4.625), and being on first line HAART regimen [AOR 7.0, 95% CI 3.220, 15.648]., Conclusions: Our study demonstrated a good viral suppression among PLHIV on HAART. Variables associated with viral suppression included unemployment, formal education, high baseline CD4 count, and first line HAART regimen., (© 2021. The Author(s).)

There is a paucity of information regarding the epidemiology and outcome of COVID-19 from low/middle-income countries, including from Nigeria. This single-center study described the clinical features, laboratory findings, and predictors of in-hospital mortality of COVID-19 patients. Patients admitted between April 10, 2020 and June 10, 2020 were included. Forty-five patients with a mean age of 43 (16) years, predominantly male (87%), presented with fever (38%), cough (29%), or dyspnea (24%). In-hospital mortality was 16%. The independent predictors of mortality were hypoxemia (adjusted odds ratio [aOR]: 2.5; 95% CI: 1.3-5.1) and creatinine > 1.5 mg/dL (aOR: 4.3; 95% CI: 1.9-9.8).

Background: Iron-deficiency anemia (IDA) or iron deficiency (ID) is by far the most common form of disorder affecting the cognitive development, physical growth and school performance of children in developing countries including Nigeria., Objectives: In the present study, we aimed to examine whether IDA or ID, or both are associated with oxidative stress or otherwise by assessing the perturbations in oxidative stress markers including malondialdehyde (MDA), catalase (CAT) and superoxide dismutase (SOD)., Methods: Here, a total of eighty-one IDA, ID, and healthy control subjects of twenty-seven replicates each, were recruited and investigated. Human serum MDA, CAT and SOD levels were quantitatively analyzed using Enzyme-Linked Immunosorbant Assay., Results: Mean serum MDA levels of IDA (5.10 ± 2.35 mmol/L) and ID (4.05 ± 1.35 mmol/L) groups were found to perturb significantly ( p < 0.05), being higher than those of control (3.30 ± 0.95 mmol/L) subjects. Similarly, mean serum MDA levels of IDA (5.10 ± 2.35 mmol/L) group was found to be significantly ( p < 0.05) higher when compared with ID (4.05 ± 1.35 mmol/L) subjects. Conversely, mean serum CAT and SOD activities of IDA (8.35 ± 2.21 ng/mL and 340.70 ± 153.65 ng/mL) group were found to differ significantly ( p < 0.05), and those of ID (9.40 ± 1.47 ng/mL and 435.00 ± 144.75 ng/mL) subjects were found to perturb slightly ( p > 0.05), being lower than those of control (10.40 ± 4.31 ng/mL and 482.12 ± 258.37 ng/mL) subjects., Conclusions: Taken together, the results of the present study showed that lipid peroxidation was dramatically increased in both IDA and ID subjects in hydroperoxide-superoxide-dependent manner; in contrast, enzymatic antioxidant capacity was drastically decreased in both IDA and ID groups as evidenced by biochemical markers.

Objective: The antioxidant effects of aqueous root bark, stem bark and leaves of Vitex doniana (V. doniana) were evaluated in carbon tetrachloride (CCl4) induced liver damage and non induced liver damage albino rats., Methods: A total of 60 albino rats (36 induced liver damage and 24 non induced liver damage) were assigned into liver damage and non liver damage groups of 6 rats in a group. The animals in the CCl4 induced liver damage groups, were induced by intraperitoneal injection with a single dose of CCl4 (148 mg·ml(-1)·kg(-1) body weight) as a 1:1 (v/v) solution in olive oil and were fasted for 36 h before the subsequent treatment with aqueous root bark, stem bark and leaves extracts of V. doniana and vitamin E as standard drug (100 mg/kg body weighy per day) for 21 d, while the animals in the non induced groups were only treated with the daily oral administration of these extracts at the same dose. The administration of CCl4 was done once a week for a period of three weeks., Results: The liver of CCl4 induced not treated group showed that the induction with CCl4, significantly (P<0.05) increased thiobarbituric acid reactive substance (TBARS) and significantly (P<0.05) decreased superoxide dismutase (SOD) and catalase (CAT). However there was no significant (P>0.05) difference between TBARS, SOD and CAT in the liver of the induced treated groups and normal control group. In the kidney, TBARS showed no significant (P>0.05) difference between the normal and the induced groups, SOD was significantly (P<0.05) reduced in the CCl4 group compared to standard drug and normal control groups, CAT was significantly (P<0.05) increased in root and vitamin E groups when compared to induced not treated group. The studies also showed that when the extracts were administered to normal animals, there was no significant (P>0.05) change in the liver and kidney level of TBARS, SOD and CAT compared with the normal control except in the kidney of animals treated with stem extract where TBARS was significantly (P<0.05) lowered compared to control group., Conclusion: The result of the present study suggests that application of V. doniana plant would play an important role in increasing the antioxidant effect and reducing the oxidative damage that formed both in liver and in kidney tissues. However stem bark has potential to improve renal function in normal rats.