Conectar
by Khalid Mahmood, Aijaz Ali Channa, Aamir Ghafoor, Amjad Riaz
Equine embryo transfer (EET) is a prominent technology in the equine breeding industry, and its efficacy is affected by a number of factors. The current study aimed to determine the effects of the breed of donor/recipient mares, estrus/ovulation induction treatment, cooled transportation of embryos, and synchrony between donor and recipient mares on the efficiency of the EET under subtropical conditions of Pakistan. A total of eighty-four (n = 84) Polo-playing donor mares (Argentino-polo = 41 and Anglo-Arab = 43) and seventy (n = 70) recipient mares (light breed = 26 and heavy breed = 44) were used for EET. The donor mares exhibiting natural estrus (n = 28) were detected by teaser a stallion, and corpus luteum (CL) having mares (n = 56) were treated with prostaglandin (150 μg of Cloprostenol) for estrus induction. The mares’ follicular growth was monitored through ultrasonography until the dominant follicle’s size reached 35 mm or more with a moderate to obvious uterine edema score. Afterward, the mares were treated either with GnRH, i.e., 50 μg of Lecirelin acetate (n = 41) or Ovusyn, i.e., 1500 IU hCG (n = 43). Insemination with chilled semen was performed 24 hours later. The embryos were collected non-surgically, 7 or 8 days after ovulation, from the donor mares. The collected embryos were transferred into the well-synchronized recipient mares as fresh (n = 44) or chilled (n = 26) embryos. The pregnancy after ET was checked through ultrasonography. Statistical analysis revealed that the embryo recovery rate (ERR) remained significantly higher (P0.05) affect the ERR. There was no significant effect of the type (fresh vs chilled), classification, and stage of development of embryo on pregnancy outcomes (P>0.05). ET pregnancy rate was significantly affected by the breed of recipient mares and ovulation synchrony between donor and recipient mares (Pby Khalid Aboalshamat, Turki Alayyafi, Ghassan Elaiwa, Mishal Assayegh, Abdulmalk Alqaidi
BackgroundVolunteering can be defined as activities a person does for free to help another person or group. Saudi Vision 2030 has a target of one million volunteers from the country by 2030. The aim of this study was to find out the frequencies of the motives, barriers, and experiences of volunteering dental students and dentists in Saudi Arabia.
Materials and methodsIn this cross-sectional study, 655 dental students and dentists from 37 cities around Saudi Arabia answered a questionnaire of 59 questions derived from previous studies. The questionnaire was distributed through social media. SPSS software was used to analyze the data, with p-value of 0.05 as significant. Chi-square was used for analytical statistics.
ResultsThe chance to learn in a health-related field (84.58%) was the most motivating factor to volunteer, and the least motivating factor was financial compensation (46.72%). Females had multiple significantly higher motives percentages than males (p Conclusions
A high percentage of dental students and dentists in Saudi Arabia engage in volunteer activities. Nevertheless, various impediments must be addressed to achieved the targeted key performance indicator of Saudi Arabia Vision 2030.
Third delay refers to delays in delivering requisite care to patients after they arrive at a health facility. In low-resource care settings, effective triage and flow of care are difficult to guarantee. In this study, we aimed to identify delays in the delivery of care to critically ill patients and possible ways to address these delays.
This was an exploratory qualitative study using in-depth interviews and patient journeys. The qualitative data were transcribed and aggregated into themes in NVivo V.12 Plus using inductive and deductive approaches.
This study was conducted in four secondary-level public Kenyan hospitals across four counties between March and December 2021. The selected hospitals were part of the Clinical Information Network.
Purposive sampling method was used to identify administrative and front-line healthcare providers and patients. We conducted 12 in-depth interviews with 11 healthcare workers and patient journeys of 7 patients. Informed consent was sought from the participants and maintained throughout the study.
We identified a cycle of suboptimal systems for care with adaptive mechanisms that prevent quality care to critically ill patients. We identified suboptimal systems for identification of critical illness, inadequate resources for continuity care and disruption of the flow of care, as the major causes of delays in identification and the initiation of essential care to critically ill patients. Our study also illuminated the contribution of inflexible bureaucratic non-clinical business-related organisational processes to third delay.
Eliminating or reducing delays after patients arrive at the hospital is a time-sensitive measure that could improve the care outcomes of critically ill patients. This is achievable through an essential emergency and critical care package within the hospitals. Our findings can help emphasise the need for standardised effective and reliable care priorities to maintain of care of critically ill patients.
A meta-analysis investigation was carried out to measure the wound infections (WIs) and other postoperative problems (PPs) of distal gastrectomy (DG) compared with total gastrectomy (TG) for gastric cancer (GC). A comprehensive literature investigation till February 2023 was used and 1247 interrelated investigations were reviewed. The 12 chosen investigations enclosed 2896 individuals with GC in the chosen investigations' starting point, 1375 of them were TG, and 1521 were DG. Odds ratio (OR) in addition to 95% confidence intervals (CIs) were utilized to compute the value of the WIs and other PPs of DG compared with TG for GC by the dichotomous approaches and a fixed or random model. TG had significantly higher overall PP (OR, 1.58; 95% CI, 1.15–2.18, p = 0.005), WIs (OR, 1.69; 95% CI, 1.07–2.67, p = 0.02), peritoneal abscess (PA) (OR, 2.99; 95% CI, 1.67–5.36, p < 0.001), anastomotic leakage (AL) (OR, 1.90; 95% CI, 1.21–2.97, p = 0.005) and death (OR, 2.26; 95% CI, 1.17–4.37, p = 0.02) compared to those with DG in individuals with GC. TG had significantly higher overall PP, WIs, PA, AL and death compared to those with DG in individuals with GC. However, care must be exercised when dealing with its values because of the low sample size of some of the nominated investigations for the meta-analysis.
by Tasnim F. Imran, Ali A. Khan, Phinnara Has, Alexis Jacobson, Stephanie Bogin, Mahnoor Khalid, Asim Khan, Samuel Kim, Sebhat Erqou, Gaurav Choudhary, Karen Aspry, Wen-Chih Wu
BackgroundAtherosclerotic cardiovascular disease (ASCVD) is the leading cause of mortality worldwide. Atherosclerosis occurs due to accumulation of low-density lipoprotein cholesterol (LDL-c) in the arterial system. Thus, lipid lowering therapy is essential for both primary and secondary prevention. Proprotein convertase subtilisn/kexin type 9 (PCSK9) inhibitors (Evolocumab, Alirocumab) and small interfering RNA (siRNA) therapy (Inclisiran) have been demonstrated to lower LDL-c and ASCVD events in conjunction with maximally tolerated statin therapy. However, the degree of LDL-c reduction and the impact on reducing major adverse cardiac events, including their impact on mortality, remains unclear.
ObjectiveThe purpose of this study is to examine the effects of PCSK9 inhibitors and small interfering RNA (siRNA) therapy on LDL-c reduction and major adverse cardiac events (MACE) and mortality by conducting a meta-analysis of randomized controlled trials.
MethodsUsing Pubmed, Embase, Cochrane Library and clinicaltrials.gov until April 2023, we extracted randomized controlled trials (RCTs) of PCSK9 inhibitors (Evolocumab, Alirocumab) and siRNA therapy (Inclisiran) for lipid lowering and risk of MACE. Using random-effects models, we pooled the relative risks and 95% CIs and weighted least-squares mean difference in LDL-c levels. We estimated odds ratios with 95% CIs among MACE subtypes and all-cause mortality. Fixed-effect model was used, and heterogeneity was assessed using the I2 statistic.
ResultsIn all, 54 studies with 87,669 participants (142,262 person-years) met criteria for inclusion. LDL-c percent change was reported in 47 studies (n = 62,634) evaluating two PCSK9 inhibitors and siRNA therapy. Of those, 21 studies (n = 41,361) included treatment with Evolocumab (140mg), 22 (n = 11,751) included Alirocumab (75mg), and 4 studies (n = 9,522) included Inclisiran (284mg and 300mg). Compared with placebo, after a median of 24 weeks (IQR 12–52), Evolocumab reduced LDL-c by -61.09% (95% CI: -64.81, -57.38, p Conclusion
PCSK9 inhibitors (Evolocumab, Alirocumab) and siRNA therapy (Inclisiran) significantly reduced LDL-c by >40% in high-risk individuals. Additionally, both Alirocumab and Evolocumab reduced the risk of MACE, and Alirocumab reduced cardiovascular and all-cause mortality.
by Muntequa Imtiaz Siraji, Ahnaf Akif Rahman, Mirza Muntasir Nishat, Md Abdullah Al Mamun, Fahim Faisal, Lamim Ibtisam Khalid, Ashik Ahmed
Depression is a psychological state of mind that often influences a person in an unfavorable manner. While it can occur in people of all ages, students are especially vulnerable to it throughout their academic careers. Beginning in 2020, the COVID-19 epidemic caused major problems in people’s lives by driving them into quarantine and forcing them to be connected continually with mobile devices, such that mobile connectivity became the new norm during the pandemic and beyond. This situation is further accelerated for students as universities move towards a blended learning mode. In these circumstances, monitoring student mental health in terms of mobile and Internet connectivity is crucial for their wellbeing. This study focuses on students attending an International University of Bangladesh to investigate their mental health due to their continual use of mobile devices (e.g., smartphones, tablets, laptops etc.). A cross-sectional survey method was employed to collect data from 444 participants. Following the exploratory data analysis, eight machine learning (ML) algorithms were used to develop an automated normal-to-extreme severe depression identification and classification system. When the automated detection was incorporated with feature selection such as Chi-square test and Recursive Feature Elimination (RFE), about 3 to 5% increase in accuracy was observed by the method. Similarly, a 5 to 15% increase in accuracy has been observed when a feature extraction method such as Principal Component Analysis (PCA) was performed. Also, the SparsePCA feature extraction technique in combination with the CatBoost classifier showed the best results in terms of accuracy, F1-score, and ROC-AUC. The data analysis revealed no sign of depression in about 44% of the total participants. About 25% of students showed mild-to-moderate and 31% of students showed severe-to-extreme signs of depression. The results suggest that ML models, incorporating a proper feature engineering method can serve adequately in multi-stage depression detection among the students. This model might be utilized in other disciplines for detecting early signs of depression among people.by Shafaq Fatima, Ayesha Afzal, Hamna Rashid, Saba Iqbal, Rosheen Zafar, Komal Khalid, Ayman Rauf, Maryam Majeed, Aqsa Malik, Chris G. Carter
This experiment aimed to investigate the effects of partial substitution of crude protein from soybean meal (SBM) with black soldier fly (Hermetia illucens) larvae meal (BSFLM) in juvenile rohu (Labeo rohita) and catla (Catla catla). Four isonitrogenous diets (23% crude protein) were formulated to replace 0% (T0), 40% (T40), 80% (T80) and 100% (T100) crude protein from SBM with BSFLM. Triplicate groups of each species (10 fish per replicate) were fed in an eight week growth experiment. After final sampling (n = 20 fish per dietary group), the remaining fish were exposed to bacterial (Staphylococcus aureus) challenge (0.80 CFU/ml) for 15 days. Rohu fed with BSFLM substituted diets showed significantly higher growth and feed conversion ratio as compared to those in T0. Catla fed with BSFLM substituted diets showed slightly higher growth indices. The growth response of rohu to BSFLM substitution was better than that noted in catla in all groups. The chemical composition, amino acids and fatty acids profile, haematological and biochemical parameters, levels of liver function enzymes measured in T0, T40, T80 and T100 were similar between four dietary groups in both species. However, the maximum value of cholesterol and triglycerides were noted in T100 both in catla and rohu. The values of lauric acid, α-linolenic acid, decosahexanoic acid, n3:n6 fatty acids ratio progressively increased with dietary increase of BSFLM in both species. At end of the growth experiment, the levels of catalase, superoxide dismutase and lysozyme increased linearly with the inclusion of BSFLM in both species while malondialdehyde showed similar values between different groups. However, catalase, and superoxide dismutase increased (T0by Muhammad Abdul Rehman, Unaiza Naeem, Anooja Rani, Umm E. Salma Shabbar Banatwala, Afia Salman, Muhammad Abdullah Khalid, Areeba Ikram, Erfa Tahir
BackgroundVirtual multidisciplinary team meetings (VMDTM) provide a standard of care that is not limited by physical distance or social restrictions. And so, when the COVID-19 pandemic imposed irrefutable social restrictions and made in-person meetings impossible, many hospitals switched to the VMDTMs. Although the pandemic might have highlighted the ease of VMDTMs, these virtual meetings have existed over the past decade, albeit less in importance. Despite their recent importance, no review has previously assessed the feasibility of VMDTMs through the eyes of the participants, the barriers participants face, nor their comparison with the in-person format. We undertook this scoping review to map existing literature and assess the perspectives of VMDTM participants.
Material and methodsWe searched MEDLINE, Embase, CINAHL, and Google Scholar from inception till July 1st, 2023 to select studies that evaluated the perspectives of participants of VMDTMs regarding the core components that make up a VMDMT. Four authors, independently, extracted data from all included studies. Two authors separated data into major themes and sub-themes.
ResultsWe identified six core, intrinsic aspects of a VMDTM that are essential to its structure: (1) organization, (2) case discussion and decision-making, (3) teamwork and communication, (4) training and education, (5) technology, and (6) patient-related aspect. VMDTMs have a high overall satisfaction rating amongst participants. The preference, however, is for a hybrid model of multidisciplinary teams. VMDTMs offer support to isolated physicians, help address complex cases, and offer information that may not be available elsewhere. The periodical nature of VMDTMs is appropriate for their consideration as CMEs. Adequate technology is paramount to the sustenance of the format.
ConclusionVMDTMs are efficient and offer a multidisciplinary consensus without geographical limitations. Despite certain technical and social limitations, VMDTM participants are highly satisfied with the format, although the preference lies with a hybrid model.
Despite extensive advances in medical and surgical treatment, cardiovascular disease (CVD) remains the leading cause of mortality worldwide. Identifying the significant predictors will help clinicians with the prognosis of the disease and patient management. This study aims to identify and interpret the dependence structure between the predictors and health outcomes of ST-elevation myocardial infarction (STEMI) male patients in Malaysian setting.
Retrospective study.
Malaysian National Cardiovascular Disease Database-Acute Coronary Syndrome (NCVD-ACS) registry years 2006–2013, which consists of 18 hospitals across the country.
7180 male patients diagnosed with STEMI from the NCVD-ACS registry.
A graphical model based on the Bayesian network (BN) approach has been considered. A bootstrap resampling approach was integrated into the structural learning algorithm to estimate probabilistic relations between the studied features that have the strongest influence and support.
The relationships between 16 features in the domain of CVD were visualised. From the bootstrap resampling approach, out of 250, only 25 arcs are significant (strength value ≥0.85 and the direction value ≥0.50). Age group, Killip class and renal disease were classified as the key predictors in the BN model for male patients as they were the most influential variables directly connected to the outcome, which is the patient status. Widespread probabilistic associations between the key predictors and the remaining variables were observed in the network structure. High likelihood values are observed for patient status variable stated alive (93.8%), Killip class I on presentation (66.8%), patient younger than 65 (81.1%), smoker patient (77.2%) and ethnic Malay (59.2%). The BN model has been shown to have good predictive performance.
The data visualisation analysis can be a powerful tool to understand the relationships between the CVD prognostic variables and can be useful to clinicians.
The meta-analysis aimed to assess the effect of hyperbaric oxygen treatment on diabetic foot ulcers. Using dichotomous or contentious random or fixed effect models, the outcomes of this meta-analysis were examined and the odds ratio (OR) and the mean difference (MD) with 95% confidence intervals (CIs) were computed. 17 examinations from 1992 to 2022 were enrolled for the present meta-analysis, including 7219 people with diabetic foot ulcers. Hyperbaric oxygen treatment had a significantly higher healed ulcer (OR, 14.39; 95% CI, 4.02–51.52, p < 0.001), higher adverse event (OR, 2.14; 95% CI, 1.11–4.11, p = 0.02), lower mortality (OR, 0.22; 95% CI, 0.07–0.71, p = 0.01) and higher ulcer area reduction (MD, 23.39; 95% CI, 11.79–34.99, p < 0.001) compared to standard treatment in patients with diabetic foot ulcers. However, hyperbaric oxygen treatment and standard treatment had no significant difference in amputation (OR, 0.62; 95% CI, 0.22–1.75, p = 0.37), major amputation (OR, 0.59; 95% CI, 0.18–1.92, p = 0.38), minor amputation (OR, 0.64; 95% CI, 0.15–2.66, p = 0.54) and healing time (MD, −0.001; 95% CI, −0.76 to 0.75, p = 0.99) in patients with diabetic foot ulcers. The examined data revealed that hyperbaric oxygen treatment had a significantly higher healed ulcer, adverse event, and ulcer area reduction and lower mortality, however, there was no significant difference in amputation and healing time compared to standard treatment in patients with diabetic foot ulcers. Yet, attention should be paid to its values since most of the selected examinations had a low sample size and some of the comparisons had a low number of selected studies.
FreshRSS 