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Background: Transcatheter Aortic Valve Replacement (TAVR) is an established treatment for severe, symptomatic Aortic Stenosis (AS). However, the presence of low coronary heights confers a high risk for coronary obstruction during or after TAVR. Case: In this case report, we present our experience with transfemoral-TAVR in an elderly, high-risk (STS score – 12.08%) female severe AS patient with low coronary heights (right: 7.4 mm, left: 8.7 mm). She had lower annulus area (287 mm2) and moderately low valve area (0.7 cm2) as well. Her mean and peak pressure gradients (PGs) were 38 mmHg and 61 mmHg, respectively. Upon the Heart Team’s evaluation, TAVR was recommended and a 20 mm Balloon Expandable (BE) Myval Transcatheter Heart Valve (THV) was selected. No peri-procedural or post-procedural complications were reported and the post-procedural hemodynamics, namely the mean and peak PGs improved to 16 mmHg and 30 mmHg after TAVR, respectively. The patient was discharged in a stable condition after four days of hospital stay.Conclusion: We report the successful implantation of a small-sized BE Myval THV (20 mm) in a patient with low coronary heights. Life-threatening complications including paravalvular leak, coronary obstruction, or annular rupture were well averted; hence, we ascertain that the Myval THV is a suitable device for treating severe AS in difficult anatomies. However, the viability of the novel valve needs to be reaffirmed in larger studies.. 

Background and aim: Congestive heart failure is a prevalent and serious condition that poses significant challenges in the emergency department setting. Prompt and accurate management of congestive heart failure patients is crucial for improving outcomes and optimizing resource utilization. This study aims to address these challenges by developing a machine learning algorithm and comparing it to a traditional logistic regression model that can assist in the triage, resource allocation, and long-term prognostication of congestive heart failure patients.Methods: In this investigation, we used the MIMIC-III database, a publicly accessible resource containing patient data from ICU settings. Traditional logistic regression, along with the robust XGBoost and random forest algorithms, was harnessed to construct predictive models. These models were built using a range of pretreatment clinical variables. To pinpoint the most pertinent features, we carried out a univariate analysis. Ensuring robust performance and broad applicability, we adopted a nested cross-validation approach. This method enhances the precision and validation of our models by implementing multiple cross-validation iterations.Results: The performance of machine learning algorithms was assessed using the area under the receiver operating characteristic curve (AUC). Notably, the random forest algorithm, despite having lower performance among the machine learning models still demonstrated significantly higher AUC than traditional logistic regression. The AUC for the XGBoost was 0.99, random forest 0.98, while traditional logistic regression was 0.57. The most important pretreatment variables associated with congestive heart failure include total bilirubin, creatine kinase, international normalized ratio (INR), sodium, age, creatinine, potassium, gender, alkaline phosphatase, and platelets.Conclusion: Machine learning techniques utilizing multiple pretreatment clinical variables outperform traditional logistic regression in aiding the triage, resource allocation, and long-term prognostication of congestive heart failure patients in the intensive care unit setting using MIMIC III data.

Clinical benefits 1. To improve efficiency in Osteoporosis treatment 2. To adjust the dosage of medication for osteoporosis with BMK 3. To adjust bone life cycle as needed 4. To prevent bone necrosis which dentists have been worried. 5. To reduce cost of treatment 

The 2019 COVID-19 pandemic caused by SARS-CoV-2 has resulted in many fatalities worldwide. Despite various types of supportive care, mortality rates for patients with comorbidities remain high. To explore alternative treatment options, interferons (IFNs) have emerged as promising therapeutic drugs for SARS-CoV-2. This review aims to investigate the potential of IFNs as a drug with details on their mechanisms of action, and available data on their use with ongoing clinical trials, results, potential limitations, and challenges.  Recently published research articles, which are systematically searched through online databases, have been selected and found that IFNs have colossal potential in treating SARS-CoV-2 infection by modulating the host’s immune response and inhibiting viral replication and decreasing the severity of disease and hospitalization (p = 0.03, ± 0.05) and (p = 0.04, ± 0.05) respectively. However, due to less available data, more controlled and randomized trials are needed to confirm the efficacy and safety of IFN therapy.  The optimal dosing and duration of IFN therapy also remain to be determined. Although further research is needed the wait for ongoing clinical trial results under investigation is also important for a better understanding of IFN therapy.

Introduction: In the present study we evaluated and compared RBC parameters, iron status, and ferritin for discriminating between patients with iron deficiency anemia and anemia of chronic disease. Anemia that accompanies infection, inflammation, and cancer, is commonly termed anemia of chronic disease (ACD). Methods: We compared the ability of serum ferritin concentration, using the microplate immunoenzymometric assay method with other, more traditional indicators of iron status like total iron binding capacity [TIBC], mean corpuscular volume [MCV], percent transferrin saturation [%TS], RBC distribution width [RDW], and serum iron concentration [SIC]. The ferritin concentration was determined in 80 serum samples selected from men and women above the age of 18 years. The patients were assigned to IDA and ACD groups based on serum ferritin concentration.Observation: By studying the ROC Curve for various red cell parameters for the diagnosis of IDA and ACD, we found that diagnostic accuracy of various indicators was as follows TIBC>TS%>MCV>MCH>SI>MCHC for anemia of chronic diseases, and TIBC>MCH>MCV>MCHC>TS%>SI for iron deficiency anemia. When both the value of AUCs (Area under Curve) of ROC were compared it is apparent that TIBC, TS%, MCV, and MCH are important discriminating factors between IDA and ACD. Conclusion: Conventional laboratory parameters play an important role in distinguishing overt causes of IDA and ACD. MCV, MCH, and TIBC were found to be (p -value < .05) significantly discriminated against IDA and ACD. Serum ferritin is an important diagnostic tool with reasonable accuracy for the detection and differentiation of iron deficiency anemia and anemia of chronic disease.

Background: The novel coronavirus is a rapidly spreading respiratory disease that has been declared a pandemic by the World Health Organization (WHO) and a global public health emergency. The use of face masks has been recommended by the WHO and the Centers for Disease Control (CDC) as a standard prevention method for transmission of COVID-19.Objective: The objective of this study is to determine face mask utilization and associated factors in combating the COVID-19 pandemic among government employees in Akaki district administration offices in Akaki District, Oromia, Ethiopia, 2022Methods: A quantitative cross-sectional study was conducted from December 1, 2021, to February 15, 2022, on 385 government employees working in Akaki district administration offices. After obtaining consent from the study participants, data were collected using pretested, self-administered, and standardized questionnaires adapted from other studies. After the data was collected, it was entered into Epi info version 7.2.6, cleaned, and analyzed using SPSS version 26. A logistic regression model was computed to measure the association between the predictor and outcome variables. A p - value of.05 with a 95% CI was used as the cut-off point to declare the level of statistical significance. Results: The study showed that the magnitude of good practice for facemask utilization was 213 (53.5%) (95% CI: 1.50, 1.60) for preventing COVID-19. In the multivariate logistic regression analysis, the odds of using face masks among male employees (AOR = 0.275; 95% CI: 0.137, 0.555), employees aged 20-29 (AOR = 0.17; 95% CI: 0.065, 0.481 ), employees aged 30-39 (AOR = 0.260, 95% CI: 0.109, 0.623), employees of less than five family size (AOR = 0.549, 95% CI: 0.303, 0.995), work experience at 6-12 (AOR = 0, 32, 95 CI: 0.120, 0.450), poor knowledge about face mask use (AOR = 0.504, 95% CI: 0.302, 0.844), and employees with a negative attitude (AOR = 0.430, 95% CI: 0.256, 0.721) were factors significantly associated with face mask utilization.Conclusion: The magnitude of facemask utilization was low (53.5%) compared to other studies. The results of the study showed that age, sex, household family size, work experience, poor knowledge, and the negative attitude of employees toward facemask utilization were among the factors significantly associated with facemask utilization.

This is a 19-year-old patient. His clinical examination finds an empty bursa with a palpable left testicle at the level of the inguinal canal.

Here I contrast the skeletal and cardiac muscle in terms of the control muscle growth and of sarcomere component synthesis. The differences are major and reflect the long term needs of the two systems. With the skeletal system there is growth of both the number of myocytes and the sarcomere components within them dependent on demand made of the muscle. Unlike skeletal muscles the normal adult heart is greatly restricted in size, number of myocytes and their content of contractile proteins, i.e. there is little change on demand. Over time proteins get damaged or decay and for the normal heart this implies a strictly controlled maintenance synthesis of sarcomere components. From the studies of abnormal, mutated systems there is one thing inherent to and more pronounced in cardiac muscle, the FrankStarling Law of the Heart derived from the angiotensin ii type 1 receptor that my studies indicate is central to the control of sarcomere component synthesis.

Aim: To evaluate the hemodynamic changes and side effects during endotracheal intubation with Macintosh laryngoscope and intubating laryngeal mask airway.Materials and methods: A prospective, simple randomized, comparative study on 100 patients 18 years - 60 years of age, divided into two groups: Group A comprising intubation with Macintosh laryngoscope and Group B intubation through ILMA.Results: Total intubation time (in seconds) of group A was 24.38 + 3.26 seconds and of the group, B was 42.94 + 1.24 seconds. At 2,4 and 6, a higher rise in mean heart rate was noted in group A (p < 0.05). At 2,4,6 and 8 minutes difference in mean SBP and mean DBP of the two groups was statistically significant with a p - value of < 0.05 with a significant increase of mean SBP and mean DBP in patients of group A. The difference for all complications was not significant between the two groups.Conclusion: Intubation via intubating laryngeal mask airway can be done as an alternative to direct laryngoscopy using a Macintosh blade as intubation via intubating laryngeal mask airway has shown to have lesser hemodynamic changes.

Background: The concurrent occurrence of acute ischemic stroke and acute myocardial infarction is an extremely rare emergency condition that can be lethal. The causes, prognosis and optimal treatment in these cases are still unclear.Methods: We conducted the literature review and 2 additional cases at Al-Shifa Hospital, we analyzed clinical presentations, risk factors, type of myocardial infarction, site of stroke, modified ranking scale and treatment options. We compare the mortality rate among patients with combination intervention treatment (both percutaneous coronary intervention for coronary arteries and mechanical thrombectomy for cerebral vessels) and medical treatment at the hospital and 90 days after stroke. Results: In addition to our cases, we identified 94 cases of concurrent cardio-cerebral infarction from case reports and series with a mean age of 62.5 ± 12.6 years. Female 36 patients (38.3%), male 58 patients (61.7%). Only 21 (22.3%) were treated with combination intervention treatment.The mortality rate at hospital discharge was (33.3%) and the mortality rate at 90 days was (49.2%). In patients with the combination intervention treatment group: the hospital mortality rate was 13.3% and the 90-day mortality rate was: 23.5% compared with the mortality rate in medical treatment (23.5% at the hospital and 59.5% at 90 days (p value 0.038 and 0.012 respectively) Conclusion: Concurrent cardio-cerebral infarction prognosis is very poor, about a third of patients died before discharge and half of the patients died 90 days after stroke. Despite only one-quarter of patients being treated by combination intervention treatment, this treatment modality significantly reduces the mortality rate compared to medical treatment.