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M. oleifera is the most adapted tree species in different medicinal eco-systems and has resilience against climate changes. This multiple-use tree provides healthy foods, snacks, honey, and fuel. Besides this, it has immense promising applicationsby offering antimicrobial and antibacterial activities for targeted uses. This validates the court of Hippocrates that let food be the medicine and medicine be the food for which moringa qualifies. In view of this, the antioxidant and in vitro antibacterial potency of the hydro-ethanolic extract of M. oleifera was evaluated on clinically isolated multidrug-resistant strains of Staphylococcus aureus. Furthermore, in vivo, the healing response of M. oleifera extract was analysed on corneal ulcers induced in rabbit eyes infected with methicillin-resistant Staphylococcus aureus. TheM. oleifera extract exhibited exponential antioxidant activity. In-vitro antibacterial activity was evaluated by agar well diffusion assay showing zone of inhibition ranging from 11.05±0.36 to 20±0.40 mm at concentrations of 20, 40, 80, and 160 mg/ml, whereas, in our finding, no zone of inhibition was observed below 20 mg/ml concentration, which indicated that there is threshold limit below which the antibacterial activity of M. oleifera extract is not observed. Furthermore, continuous application of 3% and 5% M. oleifera extract (eye drop) four times a day for 14 consecutive days showed a significant healing response of the eyes of rabbits with corneal ulcers. These results suggest that M. oleifera extract could be a viable alternative to existing antibacterial therapies for corneal ulcers. Additionally, there is a possibility of commercial formulation of M. oleifera extract in the form of deliverable pharmaceutical products; therefore, it should be explored further.
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Tuberculosis is a leading cause of mortality in children worldwide. One of the greatest challenges in its management is the difficulty of diagnosis as the manifestations are non-specific and often mimic other illnesses. Neurological infection occurs in approximately 1% of patients diagnosed with tuberculosis, and usually takes the form of tuberculous meningitis or tuberculoma. An 11-year-old girl who was diagnosed with acute disseminated encephalomyelitis, a rare immunological manifestation of tuberculosis, is presented. She recovered completely after a course of high-dose systemic corticosteroids in addition to anti-tuberculosis treatment. Considering the immense burden of this infectious disease, recognition and understanding of the uncommon manifestations are important to enable appropriate and timely treatment.Abbreviations: ADEM: acute disseminated encephalomyelitis; ATT: anti-tuberculosis therapy; CBNAAT: cartridge-based nucleic acid amplification test; CNS: central nervous system; CSF: cerebrospinal fluid; CT: computed tomography; FLAIR: fluid attenuated inversion recovery; IFN: interferon; MRI: magnetic resonance imaging; MTB: Mycobacterium tuberculosis; TB: tuberculosis; TNF: tumour necrosis factor.
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Antituberculosos , Encefalomielite Aguda Disseminada , Imageamento por Ressonância Magnética , Tuberculose Pulmonar , Humanos , Feminino , Criança , Tuberculose Pulmonar/complicações , Tuberculose Pulmonar/diagnóstico , Antituberculosos/uso terapêutico , Encefalomielite Aguda Disseminada/diagnóstico , Encefalomielite Aguda Disseminada/patologia , Corticosteroides/uso terapêutico , Resultado do Tratamento , Encéfalo/diagnóstico por imagem , Encéfalo/patologia , Tomografia Computadorizada por Raios XRESUMO
This study employs novel growth methodologies and surface sensitization with metal nanoparticles to enhance and manipulate gas sensing behavior of two-dimensional (2D)SnS film. Growth of SnS films is optimized by varying substrate temperature and laser pulses during pulsed laser deposition (PLD). Thereafter, palladium (Pd), gold (Au), and silver (Ag) nanoparticles are decorated on as-grown film using gas-phase synthesis techniques. X-ray diffraction (XRD), Raman spectroscopy, and Field-emission scanning electron microscopy (FESEM) elucidate the growth evolution of SnS and the effect of nanoparticle decoration. X-ray photoelectron spectroscopy (XPS) analyses the chemical state and composition. Pristine SnS, Ag, and Au decorated SnS films are sensitive and selective toward NO2 at room temperature (RT). Ag nanoparticle increases the response of pristine SnS from 48 to 138% toward 2 ppm NO2, which indicates electronic and chemical sensitization effect of Ag. Pd decoration on SnS tunes its selectivity toward H2 gas with a response of 55% toward 70 ppm H2 and limit of detection (LOD) < 1 ppm. In situ Kelvin probe force microscopy (KPFM) maps the work function changes, revealing catalytic effect of Ag toward NO2 in Ag-decorated SnS and direct charge transfer between Pd and SnS during H2 exposure in Pd-decorated SnS.
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Thrombotic complications in liver abscess are less commonly identified in the literature. In this prospective observational study, vascular thrombosis was detected in 21.9% cases. However, there was no significant difference in outcome with or without vascular thrombosis, properly treated.
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Abscesso Hepático , Trombose , Humanos , Prevalência , Veia Porta , Trombose/diagnóstico , Trombose/epidemiologia , Trombose/etiologia , Abscesso Hepático/epidemiologia , Abscesso Hepático/complicações , Estudos ProspectivosRESUMO
Routinely collected electronic health records (EHRs) data contain a vast amount of valuable information for conducting epidemiological studies. With the right tools, we can gain insights into disease processes and development, identify the best treatment and develop accurate models for predicting outcomes. Our recent systematic review has found that the number of big data studies from Hong Kong has rapidly increased since 2015, with an increasingly common application of artificial intelligence (AI). The advantages of big data are that i) the models developed are highly generalisable to the population, ii) multiple outcomes can be determined simultaneously, iii) ease of cross-validation by for model training, development and calibration, iv) huge numbers of useful variables can be analyzed, v) static and dynamic variables can be analyzed, vi) non-linear and latent interactions between variables can be captured, vii) artificial intelligence approaches can enhance the performance of prediction models. In this paper, we will provide several examples (cardiovascular disease, diabetes mellitus, Brugada syndrome, long QT syndrome) to illustrate efforts from a multi-disciplinary team to identify data from different modalities to develop models using territory-wide datasets, with the possibility of real-time risk updates by using new data captured from patients. The benefit is that only routinely collected data are required for developing highly accurate and high-performance models. AI-driven models outperform traditional models in terms of sensitivity, specificity, accuracy, area under the receiver operating characteristic and precision-recall curve, and F1 score. Web and/or mobile versions of the risk models allow clinicians to risk stratify patients quickly in clinical settings, thereby enabling clinical decision-making. Efforts are required to identify the best ways of implementing AI algorithms on the web and mobile apps.
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Inteligência Artificial , Síndrome de Brugada , Humanos , Hong Kong/epidemiologia , Big Data , Atenção à Saúde , Medição de RiscoRESUMO
Introduction: Bloodstream infections in the intensive care unit have always been a global healthcare challenge. The present study was conducted with the aim to evaluate the yearly trend of antibiotic resistance in non-fermenting Gram-negative bacilli (NFGNB) causing septicemia in intensive care units. Methods: Blood samples were collected from the patients admitted in various intensive care units and processed for isolation and identification of non-fermenting Gram-negative bacilli. The isolated bacterial strains were subjected to antibiotic susceptibility testing as per standard operating procedures. Results: Out of 3632 blood samples, 977 (26.9%) samples showed microbial growth, of which 10.1% were Gram positive cocci, 8.7% were Gram negative bacilli (Enterobacterales), 7% were NFGNB and 1% were Candida spp. Increasing resistance among Acinetobacter baumannii complex was observed to ceftazidime, cefepime, amikacin, ciprofloxacin, levofloxacin, meropenem and trimethoprim-sulfamethoxazole. Moreover, Pseudomonas aeruginosa strains were found to be associated with increased resistance to ciprofloxacin, levofloxacin, ceftazidime and meropenem. A substantial increase in resistance levels was observed among Stenotrophomonas maltophilia and Sphingomonas paucimobilis as well. Conclusions: An increasing trend of antimicrobial resistance in NFGNB envisages the worst consequences in ICUs in the coming years. Therefore, reviewing and strict implementation of the antimicrobial policies including 'rational use of antibiotics' is recommended.
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Objective: This review aims to explore the impact of the COVID-19 pandemic on mental health, with a focus on the physiological and psychological consequences, including comorbidities. The goal is to understand the direct and indirect populations affected by mental distress and identify potential interventions. Methodology: A comprehensive literature search was conducted using various databases, including Google Scholar, ResearchGate, ScienceDirect, PubMed, PLoS One, and Web of Science. The search utilized relevant keywords to investigate the direct and indirect impacts of COVID-19 on mental health. The selected articles were critically evaluated and analyzed to identify key findings and insights. Main findings: Mental health, being an intrinsic component of overall well-being, plays a vital role in physiological functioning. The COVID-19 pandemic, caused by the emergence of the novel SARS-CoV-2 virus, has had a devastating global impact. Beyond the respiratory symptoms, individuals recovering from COVID-19 commonly experience additional ailments, such as arrhythmia, depression, anxiety, and fatigue. Healthcare professionals on the frontlines face an elevated risk of mental illness. However, it is crucial to recognize that the general population also grapples with comparable levels of mental distress. Conclusion: The COVID-19 pandemic has underscored the significance of addressing mental health concerns. Various strategies can help mitigate the impact, including counselling, fostering open lines of communication, providing mental support, ensuring comprehensive patient care, and administering appropriate medications. In severe cases, treatment may involve the supplementation of essential vitamins and antidepressant therapy. By understanding the direct and indirect impacts of COVID-19 on mental health, healthcare providers and policymakers can develop targeted interventions to support individuals and communities affected by the pandemic. Continued research and collaborative efforts are essential to address this pervasive issue effectively.
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The most prevalent infection in the world is dermatophytosis, which is a major issue with high recurrence and can affect the entire body including the skin, hair, and nails. The major goal of this Review is to acquire knowledge about cutting-edge approaches for treating dermatophytosis efficiently by adding antifungals to formulations based on nanocarriers in order to overcome the shortcomings of standard treatment methods. Updates on nanosystems and research developments on animal and clinical investigations are also presented. Along with the currently licensed formulations, the investigation also emphasizes novel therapies and existing therapeutic alternatives that can be used to control dermatophytosis. The Review also summarizes recent developments on the prevalence, management approaches, and disadvantages of standard dosage types. There are a number of therapeutic strategies for the treatment of dermatophytosis that have good clinical cure rates but also drawbacks such as antifungal drug resistance and unfavorable side effects. To improve therapeutic activity and get around the drawbacks of the traditional therapy approaches for dermatophytosis, efforts have been described in recent years to combine several antifungal drugs into new carriers. These formulations have been successful in providing improved antifungal activity, longer drug retention, improved effectiveness, higher skin penetration, and sustained drug release.
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Magnetic resonance imaging (MRI) of breasts using diffusion-weighted imaging and dynamic contrast enhancement is now well-established imaging for the evaluation and characterization of suspicious breast lesions, where it has become a problem-solving tool. Breast lesions are characterized according to their morphological features and enhancement characteristics. Breast MRI is helpful in the evaluation of breast lesions in patients with dense breasts and women with breast implants and to differentiate scars and recurrence. However, this technique has its own limitations, a few of which are elucidated in the present case report.
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The emergence of drug-resistant microbial pathogens is a matter of global concern and become more serious if they linked with healthcare-associated infections (HAIs). As per World Health Organization statistics, multidrug-resistant (MDR) bacterial pathogens account for between 7 and 12% of the worldwide burden of HAIs. The need for an effective and environmentally sustainable response to this situation is urgent. The primary goal of this study was to create copper nanoparticles that are biocompatible and non-toxic by using an extract of Euphorbia des moul, and then to test these nanoparticles' bactericidal efficacy against MDR strains of Escherichia coli, Klebsiella spp., Pseudomonas aeruginosa, and Acinetobacter baumannii. UV-Vis spectroscopy, dynamic light scattering, X-ray diffraction, Fourier transform infrared spectroscopy, transmission electron microscopy, and scanning electron microscopy techniques were used to characterize the biogenic G-CuNPs. It was found that G-CuNPs were spherical in shape, with an average diameter of ~ 40 nm and a charge density of - 21.52 mV. The G-CuNPs fully eradicated the MDR strains at a dosage of 2 mg/ml with 3 h of incubation time. Mechanistic analysis showed that the G-CuNPs efficiently disrupted the cell membrane and damaged the DNA and by generating more reactive oxygen species. Moreover, cytotoxic examination revealed that G-CuNPs displayed < 5% toxicity at 2 mg/ml concentration on human RBCs, PBMCs, and A549 cell lines, suggesting that they are biocompatible. This nano-bioagent is an eco-friendly, non-cytotoxic, non-hemolytic organometallic copper nanoparticles (G-CuNPs) with a high therapeutic index for possible use in the prevention of biomedical device-borne infections by preparing an antibacterial layer on indwelling medical devices. However, its potential clinical use has to be further studied through in vivo testing with an animal model.
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Anti-Infecciosos , Euphorbia , Nanopartículas Metálicas , Nanopartículas , Animais , Humanos , Cobre/química , Nanopartículas/química , Antibacterianos/farmacologia , Antibacterianos/química , Escherichia coli , Nanopartículas Metálicas/química , Espectroscopia de Infravermelho com Transformada de Fourier , Testes de Sensibilidade MicrobianaRESUMO
Bacterial infection is a major crisis of 21st era and the emergence of multidrug resistant (MDR) pathogens cause significant health problems. We developed, green chemistry-based silver nanoparticles (G-Ag NPs) using Citrus pseudolimon fruit peel extract. G-Ag NPs has a spherical shape in the range of ~ 40 nm with a surface charge of - 31 Mv. This nano-bioagent is an eco-friendly tool to combat menace of MDR. Biochemical tests prove that G-Ag NPs are compatible with human red blood cells and peripheral blood mononuclear cells. There have been many reports on the synthesis of silver nanoparticles, but this study suggests a green technique for making non-cytotoxic, non-hemolytic organometallic silver nanoparticles with a high therapeutic index for possible use in the medical field. On the same line, G-Ag NPs are very effective against Mycobacterium sp. and MDR strains including Escherichia coli, Klebsiella species, Pseudomonas aeruginosa, and Acinetobacter baumannii isolated from patient samples. Based on it, we filed a patent to Indian Patent Office (reference no. 202111048797) which can revolutionize the prevention of biomedical device borne infections in hospital pre/post-operated cases. This work could be further explored in future by in vivo experimentation with mice model to direct its possible clinical utility. Supplementary Information: The online version contains supplementary material available at 10.1007/s12088-023-01061-0.
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Background: Malignancy of the breast is one of the most common cancers among females worldwide. Magnetic resonance mammography (MRM) is a valuable complement to conventional methods for the early diagnosis of disease, thereby providing patients with a better prognosis. The number of unnecessary biopsies and repeated excisions in cases of indeterminate breast lesions detected on conventional imaging is high. Aims: The purpose of this study was to evaluate the role of MRM in the evaluation of indeterminate breast lesions [Breast Imaging Reporting and Data System (BIRADS) 3/4] found in conventional mammography and ultrasonography (USG), taking the histopathological examination (HPE) as the gold standard. Materials and methods: A total of 38 patients with conventional radiological imaging diagnosis of indeterminate breast lesions (BIRADS 3/4) were included in this study and evaluated using contrast-enhanced MRM according to the MR-BIRADS lexicon (5th edition). Morphological characteristics of lesions were evaluated to determine the probability of malignancy. Histopathology was kept as the gold standard for comparing all the statistical parameters. Results: There were a total of 40 lesions, 35 masses, and five nonmass enhancement (NME) available for evaluation out of the 38 patients. The sensitivity of margins to detect malignancy approached 100%; however, it had a slightly lower specificity of 66.67%. Magnetic resonance imaging (MRI) showed good diagnostic performance with sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of 85, 90, 89.47, 85.71, and 87.50%, respectively. Conclusion: The MRI has been shown to be useful as a problem-solving tool in breast cancer screening, clarifying indeterminate findings and avoiding unnecessary short follow-ups and percutaneous biopsies. How to cite this article: Mishra E, Kaur N, Kaur R, et al. Role of Magnetic Resonance Mammography in the Evaluation of Indeterminate Breast Lesions. J Assoc Physicians India 2023;71(11):76-84.
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Neoplasias da Mama , Imageamento por Ressonância Magnética , Mamografia , Humanos , Feminino , Neoplasias da Mama/diagnóstico por imagem , Neoplasias da Mama/patologia , Imageamento por Ressonância Magnética/métodos , Mamografia/métodos , Pessoa de Meia-Idade , Adulto , Sensibilidade e Especificidade , Idoso , Mama/diagnóstico por imagem , Mama/patologia , Ultrassonografia Mamária/métodosRESUMO
Background and Purpose: Emergence of fungi as a pathogenic threat presents a significant challenge to public health, notably in intensive care units (ICUs) and among immunocompromised patients. Various factors, including sepsis-induced barrier disruptions, immune system dysfunction, and extremes of age, contribute to increased susceptibility to fungal infections. Hospital practices, such as prolonged surgeries, broad-spectrum antibiotic use, and invasive procedures, further exacerbate the risk. Fungal bloodstream infections, particularly those caused by Candida albicans, rank among the most common hospital-acquired infections, leading to substantial morbidity and mortality. The global rise in invasive candidiasis, particularly due to non-albicans Candida species, presents challenges in the diagnosis and treatment due to nonspecific symptoms and emerging antifungal resistance. Nanotechnology interventions particularly by utilizing green synthesized copper nanoparticles could possibly provide a novel solution to combat microbial colonization, biofilm formation, and drug resistance. This study aimed to assess the prevalence of candidemia, identify the distribution of causative Candida species, and understand their susceptibility patterns to commonly used antifungal agents for effective management in ICU settings. Additionally, the study sought to explore the in vitro anti-Candida activity of green copper nanoparticles synthesized using Euphorbia milii des moul extract. Materials and Methods: This study was conducted at Microbiology Laboratory of Maharishi Markandeshwar Institute of Medical Sciences and Research from January to December 2022, focused on ICU patients suspected of bloodstream infections. Blood samples were collected aseptically and processed using BD BACTECTM culture vials. Identification of organisms was performed via the Vitek-2 system by confirming candidemia with positivity in both blood samples. After that antifungal susceptibility testing was also performed against Clinical and Laboratory Standards Institute recommended antifungal drug using Vitek 2 system. G-CuNPs were synthesized using E. milii Des moul extract and possessed for physiochemical characterization. The anti-Candida activity of G-CuNPs was evaluated through the MTT assay and time kill assay. After that generation of intracellular reactive oxygen species and DNA degradation were evaluated to understand its mechanism. Results: This study identified a candidemia rate of 7.3% (58/789). Age and gender analysis revealed higher Candida colonization rates in individuals above 60 years old and females. Antifungal sensitivity profiling indicated notable resistance to fluconazole (27.59%) and voriconazole (25.86%). Synthesizing G-CuNPs using E. milii des moul extract represents a novel approach exhibiting significant fungicidal potency against clinically isolated C. albicans, supporting potential therapeutic applications. Conclusion: the findings concluded that synthesized G-CuNPs have tremendous potential to battle against medical device-borne infections by surface coating.
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Early and effective diagnosis of cancer is decisive for its proper management. In this context biomarker-based cancer diagnosis is budding as one of the promising ways for early detection, disease progression monitoring, and effective cancer therapy. Integration of Biosensing devices with different metallic/nonmetallic nanoparticles offers amplification and multiplexing capabilities for simultaneous detection of cancer biomarkers (CB's). This study provides a comprehensive analysis of the most recent designs and fabrication methodologies designed for developing electrochemical biosensors (EB) for early detection of cancers. The role of biomarkers in cancer therapeutics is also discussed.
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Degenerative changes in lumbosacral spine or disc bulges impinging on the thecal sac are the usual causes of sciatica. However peripheral compression of sciatic nerve in pelvis or lower limb presenting as sciatica is an uncommon entity. The sciatic hernia is a rare type of hernia. Due to the deep location of this pathology, the clinical examination would add little and imaging plays a pivotal role in diagnosis. We present a case of sciatica diagnosed with giant gluteal lipoma presenting as sciatic notch hernia and compressing sciatic nerve in the greater sciatic notch. Less than 100 cases are reported in the literature so far. The possibility of this rare diagnosis should be kept in mind by family physicians while evaluating patients of sciatica with no significant imaging findings in lumbosacral spine.
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We present an unusual case of a 37-year-old woman diagnosed with systemic lupus erythematosus presenting with right-sided weakness and altered mentation. On computed tomography and magnetic resonance imaging, marked intracranial calcifications were seen. These localized calcifications are speculated to be secondary to the necrotic focus of repeated episodes of vessel inflammation. However, the pathogenesis of cerebral calcifications is largely unknown.
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Background: As per WHO, global burden of healthcare-associated infections (HAIs) ranges between 7% and 12%. There is a dire need to screen Device associated nosocomial infections (DANIs) in hospitals(1). To investigate the prevalence of microbes in hospitals in DANI cases and analyse in vitro control of multi-drug resistant strains by nanotechnology intervention. Methods: Patients diagnosed with DANI were enrolled and monitored. Identification and antibiotic susceptibility pattern of the etiological agent of DANIs were made by the phenotypic method and Vitek 2 automated systems according to standard protocol. In addition, biosynthesized nanocomposite was analysed for their antimicrobial activity by agar well-diffusion method, CFU count and DNA degradation analysis. Results: There were a total of 324 patients diagnosed with DANIs. Total 369 microbial pathogens were isolated from DANI patients. The majority (87%) of the pathogenic microbes were gram-negative bacilli and all were multidrug-resistant. 41.5% of the gram-negative isolates were ESBL producers. Methicillin-resistant Staphylococcus aureus contributes about 7.3% of the total isolates in gram-positive bacteria. Nanocomposite showed 100% bactericidal activity at 5 mg/ml concentration within 3 h of incubation, whereas 2.5 mg/ml concentration of nanocomposites takes 6 h to inhibit complete growth. Conclusions: DANI, which was found in patients of all age groups, us due to multidrug-resistant gram-negative bacteria. The most commn causative agents were Acinetobacter baumannii and Citrobacter species. Nanocomposites can provide an alternative solution to prevent the DANIs.
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Purpose: The study was conducted to diagnose transient tachypnoea of the newborn (TTN) in the early stage using ultrasonography and to estimate the sensitivity and specificity of double lung point (DLP) sign in diagnosing TTN. Material and methods: The study population included premature neonates with respiratory distress, admitted in the neonatal intensive care unit from December 2017 to June 2019, who fulfilled the inclusion criteria. A total of 100 patients were included in the study, and they underwent lung ultrasonography within 6 hours of birth. Inclusion criteria were as follows: preterm babies born < 37 weeks of gestation presenting with respiratory distress within 6 hours, clinically diagnosed with TTN and other causes like respiratory distress syndrome and pneumonia. Term neonates and neonates with congenital malformations and trauma were excluded from the study. Preterms with respiratory distress were enrolled in the study. Based on the clinical findings and laboratory investigations, clinical diagnosis was made by the paediatrician. After obtaining informed consent, ultrasonography of bilateral chest was performed using a Philips HD7 XE and a Sonoscape S2 portable ultrasound machine with a linear transducer (6-12 MHz) within 6 hours of birth. Results: The mean gestational age was 33.0 ± 1.9 weeks. Double lung point sign was present in 55 preterm neonates in our study. It was most common in bilateral posterior lung fields. The sensitivity and specificity of DLP in diagnosing TTN was 85% and 100%, respectively. Conclusions: It was found in our study that double lung point sign is the primary ultrasonographic characteristic of TTN, and ultrasonography can almost accurately diagnose TTN in early stages.