A deep learning-based model for detecting Leishmania amastigotes in microscopic slides: a new approach to telemedicine.

BACKGROUND: Leishmaniasis, an illness caused by protozoa, accounts for a substantial number of human fatalities globally, thereby emerging as one of the most fatal parasitic diseases. The conventional methods employed for detecting the Leishmania parasite through microscopy are not only time-consuming but also susceptible to errors. Therefore, the main objective of this study is to develop a model based on deep learning, a subfield of artificial intelligence, that could facilitate automated diagnosis of leishmaniasis. METHODS: In this research, we introduce LeishFuNet, a deep learning framework designed for detecting Leishmania parasites in microscopic images. To enhance the performance of our model through same-domain transfer learning, we initially train four distinct models: VGG19, ResNet50, MobileNetV2, and DenseNet 169 on a dataset related to another infectious disease, COVID-19. These trained models are then utilized as new pre-trained models and fine-tuned on a set of 292 self-collected high-resolution microscopic images, consisting of 138 positive cases and 154 negative cases. The final prediction is generated through the fusion of information analyzed by these pre-trained models. Grad-CAM, an explainable artificial intelligence technique, is implemented to demonstrate the model's interpretability. RESULTS: The final results of utilizing our model for detecting amastigotes in microscopic images are as follows: accuracy of 98.95 1.4%, specificity of 98 2.67%, sensitivity of 100%, precision of 97.91 2.77%, F1-score of 98.92 1.43%, and Area Under Receiver Operating Characteristic Curve of 99 1.33. CONCLUSION: The newly devised system is precise, swift, user-friendly, and economical, thus indicating the potential of deep learning as a substitute for the prevailing leishmanial diagnostic techniques.

Clinical manifestations and treatment management of hospitalized patients with zinc phosphide poisoning, Mazandaran Province, Northern Iran.

BACKGROUND: Zinc phosphide (ZnP) is a dark gray crystalline compound used as a rodenticide against rodents such as mice. ZnP poisoning may be accidental or suicidal. The aim of this study was to investigate the clinical manifestations and treatment management of hospitalized patients with ZnP poisoning in Mazandaran Province, northern Iran. METHODS: Between 2013 and 2017, a cross-sectional study was performed on hospitalized patients with ZnP poisoning who were referred to two training hospitals in Mazandaran Province, northern Iran. RESULTS: A total of 127 patients participated in this trial, including 71 (55.9%) men and 56 (44.1%) women. The patients' average (standard deviation) age was 25.5 (±16.82) years, and it took 2.18 (±2.23) hours to refer them to the hospital. There were 42 (33%) cases with less than one package, 9 (7%) cases with several packages, and 76 (60%) cases with no particular usage. CONCLUSIONS: This study has shown that ZnP poisoning may be asymptomatic initially or with mild clinical symptoms that may gradually worsen. Therefore, hospitalization and obtaining a history and a careful physical examination should be considered.

Evaluation of the Function of Probiotics, Emphasizing the Role of their Binding to the Intestinal Epithelium in the Stability and their Effects on the Immune System.

Due to the importance of using cost-effective methods for therapeutic purposes, the function of probiotics as safe microorganisms and the study of their relevant functional mechanisms have recently been in the spotlight. Finding the mechanisms of attachment and stability and their beneficial effects on the immune system can be useful in identifying and increasing the therapeutic effects of probiotics. In this review, the functional mechanisms of probiotics were comprehensively investigated. Relevant articles were searched in scientific sources, documents, and databases, including PubMed, NCBI, Bactibace, OptiBac, and Bagel4. The most important functional mechanisms of probiotics and their effects on strengthening the epithelial barrier, competitive inhibition of pathogenic microorganisms, production of antimicrobials, binding and interaction with the host, and regulatory effects on the immune system were discussed.In this regard, the attachment of probiotics to the epithelium is very important because the prerequisite for their proper functioning is to establish a proper connection to the epithelium. Therefore, more attention should be paid to the binding effect of probiotics, including sortase A, a significant factor involved in the expression of sortase-dependent proteins (SDP), on their surface as mediators of intestinal epithelial cell binding. In general, by investigating the functional mechanisms of probiotics, it was concluded that the mechanism by which probiotics regulate the immune system and adhesion capacity can directly and indirectly have preventive and therapeutic effects on a wide range of diseases. However, further study of these mechanisms requires extensive research on various aspects.

Fatal peritonitis due to gastric perforation in a male heroin addict: A case report and literature review.

INTRODUCTION AND IMPORTANCE: Perforation of hollow organs, such as the stomach, within the abdomen can lead to the development of acute abdomen, a critical and potentially life-threatening condition. It is important to note that there is currently insufficient information available regarding the specific effects of heroin, an illegal substance commonly abused, in causing this particular complication. CASE PRESENTATION: We present the case of a 32-year-old male who is addicted to heroin and was admitted to an addiction rehabilitation center with the aim of overcoming his addiction. After a few days of admission, the patient developed symptoms of abdominal pain, anorexia, and subsequent neurological manifestations, such as drowsiness, confusion, and a decreased level of consciousness. Tragically, the patient suffered a cardiorespiratory arrest upon arrival at the emergency room and despite efforts to resuscitate him, he unfortunately passed away. CLINICAL DISCUSSION: During the autopsy of the aforementioned case, an observation was made of a perforation in the stomach, which ultimately led to the cause of death being identified as peritonitis. Acute peritonitis is recognized as one of the potential causes of acute abdomen, often resulting from the rupture of hollow organs within the abdominal region. It is characterized by inflammation of the serous membrane that lines the abdominal cavity. CONCLUSIONS: Indeed, conducting original and coherent studies to investigate the potential effects of heroin on gastric perforation could prove to be highly valuable in facilitating the timely diagnosis and treatment of this fatal complication.

3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection.

Cardiovascular diseases represent the leading global cause of death, typically diagnosed and addressed through electrocardiograms (ECG), which record the heart's electrical activity. In recent years, there has been a notable surge in ECG recordings, driven by the widespread use of wearable devices. However, the limited availability of medical experts to analyze these recordings underscores the necessity for automated ECG analysis using computer-aided methods. In this study, we introduced 3DECG-Net, a deep learning model designed to detect and classify seven distinct heart states through the analysis of data fusion from 12-lead ECG in a multi-label framework. Our model leverages a residual architecture with a multi-head attention mechanism, undergoing training within a five-fold cross-validation scheme. By transforming 12-lead ECG signals into 3D data with the help of Recurrent Plot technique, 3DECG-Net achieves a noteworthy micro F1-score of 80.3 %, surpassing the performance of other state-of-the-art deep learning models developed for this specific task. Also, we present an ECG preprocessing framework to generate compact, high-quality ECG signals for potential application in future studies within this domain. We conduct an explainable AI experiment using Local Interpretable Model-agnostic Explanations (LIME) to elucidate the significance of each lead in accurately diagnosing specific arrhythmias, ensuring the logical processing of ECG data by 3DECG-Net. The findings of this study suggest that the proposed model is trustworthy and has the potential to be used as an effective diagnostic toolset for identifying heart arrhythmias. Its effectiveness can improve the diagnostic process, facilitate early treatment, and enhance overall efficiency in medical settings.

Epidemiological Aspects of Opioid Poisoning in Northern Iran: A Registry-Based Clinical Study.

Opioids are a class of drugs that are commonly used to manage pain due to their analgesic and sedative effects. However, the high consumption of opioids in the community has led to an increase in the incidence of overdoses and poisonings caused by various types of these drugs, whether intentional or unintentional. Therefore, comprehending the epidemiological features of patients experiencing opioid poisoning is crucial. We decided to investigate various epidemiological aspects of patients with opioid poisoning in the Mazandaran province, located in northern Iran, during the period of 2020 to 2021. The present investigation was conducted as a descriptive cross-sectional study, wherein we collected data on patients registered in the Mazandaran Registry Center of Opioid Poisoning (MRCOP) who had a history of using any kind of opioid. We collected information on various parameters, including patient demographics, the type of opioid consumed, the mode of consumption, and clinical outcomes. A total of 240 patients were initially registered at the registry center. However, 17 cases were excluded with personal consent, and eventually, a total of 223 patients were included in the investigation. The majority of the patients 70.9% (n = 158) were male, and the average age was 34.4 ± 16.55 years. The most common cause of poisoning reported in our study was intentional, which was mainly due to a suicide attempt. Furthermore, the most prevalent type of opioid consumed was methadone. The most frequently observed symptoms of poisoning among the patients were drowsiness, a decreased level of consciousness, and reduced arterial oxygen saturation levels. Based on the results of our study, several factors were found to be significant in methadone poisoning, including addiction, age, gender, suicide attempt, and a history of psychiatric disorder. These findings highlight the need for public education and awareness campaigns on the risks associated with opioid use, particularly methadone.

Potential diagnostic application of a novel deep learning- based approach for COVID-19.

COVID-19 is a highly communicable respiratory illness caused by the novel coronavirus SARS-CoV-2, which has had a significant impact on global public health and the economy. Detecting COVID-19 patients during a pandemic with limited medical facilities can be challenging, resulting in errors and further complications. Therefore, this study aims to develop deep learning models to facilitate automated diagnosis of COVID-19 from CT scan records of patients. The study also introduced COVID-MAH-CT, a new dataset that contains 4442 CT scan images from 133 COVID-19 patients, as well as 133 CT scan 3D volumes. We proposed and evaluated six different transfer learning models for slide-level analysis that are responsible for detecting COVID-19 in multi-slice spiral CT. Additionally, multi-head attention squeeze and excitation residual (MASERes) neural network, a novel 3D deep model was developed for patient-level analysis, which analyzes all the CT slides of a given patient as a whole and can accurately diagnose COVID-19. The codes and dataset developed in this study are available at https://github.com/alrzsdgh/COVID . The proposed transfer learning models for slide-level analysis were able to detect COVID-19 CT slides with an accuracy of more than 99%, while MASERes was able to detect COVID-19 patients from 3D CT volumes with an accuracy of 100%. These achievements demonstrate that the proposed models in this study can be useful for automatically detecting COVID-19 in both slide-level and patient-level from patients' CT scan records, and can be applied for real-world utilization, particularly in diagnosing COVID-19 cases in areas with limited medical facilities.

Fatal outcome due to aluminum phosphide poisoning in an old man with a psychiatric disorder as a latent post-COVID-19 challenge: A case report.

Aluminum phosphide is a metal phosphide widely implemented as a pesticide. In the country of Iran, it is recognized by the colloquial name of rice pill. Any trace of accidental or intentional ingestion of aluminum phosphidecan result in severe hemodynamic disorders and metabolic acidosis, ultimately leading to the patient's mortality. In this report, we document the unfortunate demise of an 85-year-old man who lived in isolation, having lost his wife to COVID-19. The patient consumed aluminum phosphide tablets and, despite resuscitation efforts, inevitably succumbed to the toxic effects.

The clinico-epidemiological, diagnostic and therapeutic aspects of methanol poisoning: A five-year retrospective study, northern Iran.

INTRODUCTION: Methanol poisoning (MP) is a serious health issue that has become more prevalent in recent years and has resulted in numerous deaths. Early detection and timely treatment are critical for preventing fatalities and reducing the incidence of neurological complications. PATIENTS AND METHODS: This study was designed as a retrospective investigation with the purpose of analyzing the clinico-epidemiological, diagnostic, and therapeutic aspects of patients who were admitted to two training hospitals in northern Iran due to MP. The selection of samples for this study was based on a pre-defined checklist. Following the completion of the treatment period in the hospital, the patients were categorized into three groups based on their clinical outcome. All relevant variables for each group were recorded and reported separately, using the SciPy library in the Python programming language. RESULTS: The majority of the patients (88.12%) were male (P=0.012), the average age was 41.46, and mostly (82.18%) lived in urban regions (P=0.025). The primary clinical complaint reported was visual disorders, accounting for 75.25% of the cases, followed by nervous, gastrointestinal, respiratory, and chest pain accordingly. The average hospitalization length for the patients was 5.065 days. Out of the 101 patients, 65 (64.36%) were discharged without any complications, 17 (16.83%) were discharged with complications, and unfortunately, 19 (18.81%) were died. CONCLUSION: A decreased level of consciousness and severe metabolic acidosis are commonly associated with unfavorable outcomes in MP. The use of systemic corticosteroids as a treatment method has a significant association with reducing mortality rates.

Seizures and Irreversible Cardiogenic Shock Following Propranolol Poisoning: Report of 2 Cases and Literature Review.

Propranolol, a ß-blocker (BB), is one of the drugs that can be misused for suicide. The clinical manifestations of overdose can range from asymptomatic to neurological symptoms such as seizures and loss of consciousness, cardiac shock, and even death. Herein, we describe 2 cases that were referred to our hospital's emergency department in northern Iran: The first case was a 37-year-old woman who suffered from a decreased level of consciousness, bradycardia, and hypotension after ingesting 4 g of propranolol tablets. In the second case, a 32-year-old woman was admitted with complete cardiac arrest and a suspected history of ingesting 4.8 g of propranolol pills a few hours before admission. Therefore, the time interval between pill intake and treatment initiation seems to be one of the most important factors in prognosis, in addition to the number and dosage of pills ingested.

Occurrence of acute cholinergic syndrome in an infant due to donepezil ingestion.

Donepezil and acetyl cholinesterase inhibitors are the most commonly prescribed medications for the treatment of Alzheimer's disease. We describe a 2-year-old infant who was referred to the emergency department after developing cholinergic syndrome 6 hours after ingesting 10 mg of his grandmother's donepezil tablets and was finally discharged in stable condition.

Rhabdomyolysis and acute kidney injury due to suicide attempt with tramadol: A rare case report.

Although acute kidney injury (AKI) is a very rare complication of tramadol (TR) poisoning, overdose use in recent years should be considered. We present a 21-year-old man with metabolic acidosis, seizures, elevated serum creatine phosphokinase (CPK), creatinine, and rhabdomyolysis due to tramadol poisoning.

Massive cutaneous complications due to snakebite: A case report and literature review.

Wound infections due to snake bites such as cellulitis and necrotizing fasciitis, although not common, are seen in snake bites and if left untreated can cause serious complications.

Acute pancreatitis due to methanol toxicity during the COVID-19 pandemic.

Acute methanol poisoning may be associated with a variety of symptoms, such as abdominal pain, blurred vision, loss of consciousness, and acute pancreatitis. We present a 37-year-old man with acute pancreatitis due to methanol poisoning during the COVID-19 pandemic.

Co-morbidity of Covid-19 and Stenotrophomonas maltophilia in a Patient with Hodgkin's Lymphoma History from North of Iran.

INTRODUCTION: Immunocompromised patients, especially those hospitalized, are at a higher risk for infection with opportunistic pathogens such as Stenotrophomonas maltophilia (S. maltophilia) which is a multidrug-resistant gram-negative bacillus and can cause a challenge in the management of patients with concomitant COVID-19 and S. maltophilia pneumonia. CASE PRESENTATION: A 71-year-old man with Hodgkin's lymphoma presented with severe respiratory symptoms of COVID-19 was intubated upon admission and the initial standard treatment for COVID-19 was started for him. The patient subsequently developed superimposed bacterial pneumonia with S. maltophilia. According to that, the patient's intubation tube was removed and a tracheostomy was performed for him. Also, antibiotic treatment was replaced with Colistin and Co-trimoxazole drugs. Finally, after 31 days of hospitalization in the ICU and the appropriate drug treatment, he was discharged with reduced symptoms and partial recovery. CONCLUSION: It should be noted that the occurrence of co-infection with multidrug-resistant pathogens such as S. maltophilia requires proper management to select appropriate treatment methods and drugs, so that in addition to proper effectiveness, it does not lead to side effects and complications associated with COVID-19 disease.

Study of the Role of CREB, BDNF, and VGF Neuropeptide in Long Term Antidepressant Activity of Crocin in the Rat Cerebellum.

Antidepressant activity of crocin, saffron main component, has been established before. Based on previous study, it is suggested that elevation in the levels of BDNF (brain-derived neurotrophic factor), CREB (cAMP response element binding) and VGF neuropeptide could be considered as one probable molecular mechanisms involved in antidepressant activity of long term crocin administration in the rat hippocampus. In this study we further investigated whether the antidepressant activity of crocin in long term administration was associated with alteration in these factors in the rat cerebellum. Crocin (12.5, 25 and 50 mg/kg/day) and imipramine (10 mg/kg/day) were administered interaperitoneally for 21 days to rats. At the end of experiment, animals were sacrificed and cerebellums were dissected. BDNF, VGF, CREB, and phospho-CREB (P-CREB) protein and mRNA levels in the rat cerebellum were evaluated using Western blot and quantitative reverse transcription-polymerase chain reaction (qRT-PCR). In the current study significant increases in mRNA and protein levels of VGF, CREB and (BDNF) in long term crocin treatment were not observed in the rat cerebellum. Although a slight increase was observed in protein level of P-CREB compared to normal saline, but it was not significant. It is concluded that antidepressant activity of crocin might be partially mediated to CREB. Moreover, other factors rather than BDNF and VGF neuropeptides may alter following long term crocin treatment in the cerebellum. To understand the precise mechanism of crocin antidepressant effects in the cerebellum, longer duration of crocin treatment in further studies is recommended.