Exploring the authentication of COVID-19 vaccines using Surface-enhanced handheld Raman spectroscopy (SERS) equipped with orbital Raster scattering and machine learning

COVID-19 is a novel coronavirus first emerging in Wuhan, China in December 2019 and has since spread rapidly across the globe escalating into a worldwide pandemic causing millions of fatalities. Emergency response to the pandemic included social distancing and isolation measures as well as the escalation of vaccination programmes. The most popular COVID-19 vaccines are nucleic acid-based. The vast spread and struggles in containment of the virus has allowed a gap in the market to emerge for counterfeit vaccines. This study investigates the use of handheld Raman spectroscopy as a method for nucleic acid-based vaccine authentication and utilises machine learning analytics to assess the efficacy of the method. Conventional Raman spectroscopy requires a large workspace, is cumbersome and energy consuming, and handheld Raman systems show limitations with regards to sensitivity and sample detection. Surface Enhanced Raman spectroscopy (SERS) however, shows potential as an authentication technique for vaccines, allowing identification of characteristic nucleic acid bands in spectra. SERS showed strong identification potential through Correlation in Wavelength Space (CWS) with all vaccine samples obtaining an r value of approximately 1 when plotted against themselves. Variance was observed between some excipients and a selected number of DNA-based vaccines, possibly attributed to the stability of the SERS colloid where the colloid-vaccine complex had been measured over different time intervals. Further development of the technique would include optimisation of the SERS method, stability studies and more comprehensive analysis and interpretation of a greater sample size. © 2023 IEEE.

Authentication of Tinospora cordifolia derived herbal supplements using high resolution mass spectrometry-based metabolomics approach – A pilot study

Tinospora cordifolia herbal supplements have recently gained prominence due to their promising immunomodulatory and anti-viral effects against SARS-CoV-2. Mislabelling or diluting Tinospora supplements for profit may harm public health. Thus, validating the label claim of these supplements in markets is critical. This study investigated how high resolution mass spectrometry-based metabolomics and chemometrics can be used to distinguish Tinospora cordifolia from two other closely related species (T. crispa and T. sinensis). The Orthogonal Partial Least Square Discriminant Analysis (OPLS-DA) and PLS-DA based chemometric models predicted the species identity of Tinospora with 94.44% accuracy. These classification models were trained using 54 T. cordifolia, 21 T. crispa, and 21 T. sinensis samples. We identified 7 biomarkers, including corydine, malabarolide, ecdysterone, and reticuline, which discriminated Tinospora cordifolia from the two other species. The label claim of 25 commercial Tinospora samples collected from different parts of India was verified based on the relative abundance of the biomarker compounds, of which 20 were found authentic. The relative abundance of biomarkers significantly varied in the 5 suspicious market samples. This pilot study demonstrates a robust metabolomic approach for authenticating Tinospora species, which can further be used in other herbal matrices for product authentication and securing quality. © 2023 Elsevier B.V.

Asymmetric Cerebral Perfusion in Comatose Extracorporeal Membrane Oxygenation Patients

Asymmetric cerebral perfusion can occur when extracorporeal membrane oxygenation (ECMO) flow competes with native cardiac circulation. It is unclear whether this phenomenon associates with brain injury. Diffuse correlation spectroscopy (DCS) provides continuous, laser-based, non-invasive, bedside monitoring of relative cerebral blood flow (rCBF). This study measured rCBF in ECMO patients via DCS to determine whether comatose patients experience asymmetric cerebral perfusion. Adults receiving ECMO for any indication were prospectively recruited from 12/2019-3/2021. Patients with prior neurologic injury, scalp/facial lacerations, and SARS-CoV-2 infection were excluded. DCS monitoring was performed daily during ECMO support with sensors placed on bilateral foreheads. Mean arterial pressure (MAP) was continuously recorded from the bedside monitor. The Glasgow Coma Scale (GCS) was assessed by clinical staff multiple times daily with sedation pauses, if possible, per standard of care. rCBF was calculated by comparing continuous cerebral blood flow (CBF) measurements to the daily median CBF, then averaged at each MAP value. Daily rCBF asymmetry was calculated by summing the absolute difference of rCBF between the two hemispheres at each MAP value, normalized for the total MAP range experienced by the patient that day. Twelve subjects were enrolled in this study (ages 21-78, 6 with cardiac arrest, 4 with acute heart failure, 2 with ARDS) and grouped by maximum GCS motor (GCS-M) score during ECMO, with 3 "comatose" subjects (GCS-M <= 4), and 9 "awake" subjects (GCS-M > 4). DCS was performed over 66 sessions with a mean duration of 131.83 +/- 1.13 minutes. Comatose subjects exhibited more rCBF asymmetry than awake subjects (0.28 +/- 0.06 mmHg-1 vs. 0.10 +/- 0.001 mmHg-1, p=0.045). No difference in asymmetry was noted between patients with or without cardiac arrest. We found that comatose ECMO subjects exhibited higher inter-hemispheric rCBF asymmetry over a range of blood pressures than awake subjects. Though our comatose sample is small, further validation of this finding and its causes, such as cerebrovascular dysregulation, is warranted.

Exploring Tourists' Virtual Reality-Based Brand Engagement: A Uses-and-Gratifications Perspective

Though prior research has addressed the role of virtual reality (VR) in tourism, the dynamics and consequences characterizing tourists' VR-based brand engagement, which has grown significantly since the pandemic, remain tenuous, as, therefore, explored in this research. Addressing this gap, we develop and test a uses-and-gratifications-informed model that explores the impact of tourists' VR involvement and VR identification on their VR-based brand engagement, and its ensuing effect on their VR-based brand cocreation and brand loyalty intent. Our empirical results corroborate the proposed associations, substantiating VR-based brand engagement's mediating role. The analyses also confirm the moderating role of tourists' technology readiness in the association of their VR-based brand engagement on the one hand, and VR-based brand cocreation and brand loyalty intent on the other (i.e., with more technology-ready individuals seeing stronger associations in this regard). We conclude by providing key implications for tourism research and practice. © The Author(s) 2023.

Knowledge, Attitude and Practice towards Covid-19 in Different Universities across Khyber Pakhtunkhwa, Pakistan

There have been 6,566,610 fatalities and 626,337,158 reported cases of COVID-19 worldwide. Pakistan presently has over 1,573,922 confirmed cases and 30,625 deaths. A survey-based study was performed from January to September 2022 among different university communities to find out their KAP level. Data was collected in Google Forms through a questionnaire. The Independent t-test, Multinomial regressions, and Non-parametric Mann-Whitney test were used to assess the level of significance (p-value ≤0.05). 317 out of 605 participants were male (52.5 %), the majority of participants were 15-29 years old (72.7 %), unmarried/divorced (71.6 %), have no children (82.1 %), residing in the urban area (54.9 %) and possess a college/university degree (59.5 %). The majority of participants correctly answered five out of six knowledge questions (M = 4.96, SD = 1.03) and correctly identified the primary symptoms of COVID-19 (94.4 %) along with the proper identification of mode of transmission (95.2 %) while 1.8% wrongly replied and 2.1 % did not reply. A knowledge test revealed the significant frequency of misconception, with nearly half of the respondents (46.3 %) assuming that illness might be contracted by eating or coming into touch with wild animals. Wearing a facial mask is highly practiced (M = 3.59, SD = 0.91), followed by avoiding crowded places (M = 3.44, SD = 0.95) and practicing hand hygiene (M = 3.36, SD = 1.04). Females, the elderly, and the less educated, on the other hand, have less understanding of COVID-19, making them especially susceptible to the pandemic. It is proposed that further awareness might contribute to a favorable attitude and practice. © Pakistan Academy of Sciences.

Impact of COVID-19 & Response Measures on HIV-HCV Prevention Services and Social Determinants in People Who Inject Drugs in 13 Sites with Recent HIV Outbreaks in Europe, North America and Israel.

HIV/HCV prevention among people who inject drugs (PWID) is of key public health importance. We aimed to assess the impact of COVID-19 and associated response measures on HIV/HCV prevention services and socio-economic status of PWID in high-HIV-risk sites. Sites with recent (2011-2019) HIV outbreaks among PWID in Europe North America and Israel, that had been previously identified, were contacted early May 2020. Out of 17 sites invited to participate, 13 accepted. Semi-structured qualitative site reports were prepared covering data from March to May 2020, analyzed/coded and confirmed with a structured questionnaire, in which all sites explicitly responded to all 103 issues reported in the qualitative reports. Opioid maintenance treatment, needle/syringe programs and antiretroviral treatment /hepatitis C treatment continued, but with important reductions and operational changes. Increases in overdoses, widespread difficulties with food and hygiene needs, disruptions in drug supply, and increased homelessness were reported. Service programs rapidly reformed long established, and politically entrenched, restrictive service delivery policies. Future epidemic control measures should include mitigation of negative side-effects on service provision and socio-economic determinants in PWID.

RESUMEN: La prevención del VIH/VHC entre las personas que se inyectan drogas (PWID) es de vital importancia para la salud pública. Nuestro objetivo fue evaluar el impacto de COVID-19 y las medidas de respuesta asociadas en los servicios de prevención del VIH/VHC y el estado socioeconómico de las PWID en sitios de alto riesgo de VIH. Se contactó con sitios con brotes recientes (2011­2019) de VIH entre PWID en Europa, América del Norte e Israel, que habían sido previamente identificados, a principios de mayo de 2020. De los 17 sitios invitados a participar, 13 aceptaron. Se prepararon informes cualitativos semiestructurados del sitio que cubrían los datos de marzo a mayo de 2020, analizados/codificados y confirmados con un cuestionario estructurado, en el que todos los sitios respondieron explícitamente a los 103 asuntos reportados en los informes cualitativos. El tratamiento de mantenimiento con opiáceos, los programas de agujas/jeringas y el tratamiento antirretroviral/tratamiento de la hepatitis C continuaron, pero con importantes reducciones y cambios operativos. Se reportaron aumentos en las sobredosis, dificultades generalizadas con las necesidades alimentarias y de higiene, interrupciones en el suministro de medicamentos y aumento de personas sin hogar. Los programas de servicios reformaron rápidamente las políticas restrictivas de prestación de servicios, establecidas desde hace mucho tiempo y políticamente arraigadas. Las futuras medidas de control de epidemias deben incluir la mitigación de los efectos secundarios negativos en la prestación de servicios y los determinantes socioeconómicos en las PWID.

COVID-19 prediction using machine learning based on the patient's vital signs: A case for Saudi Arabia

The world faces a rapidly spreading of COVID19 globally, for several countries around the world mitigating the consequences and spread of the pandemic remains a top priority. Researchers work to find a smart and rational solution to limit the spread of this epidemic and its repercussions. The goal of this research is to produce an early and accurate COVID-19 prediction, as well as a comparative analysis of the performance of several machine learning (ML) models based on patient vital signs, dataset balancing, and feature selection. The cases dataset was provided by King Fahad Hospital University in Al-Khobar, Saudi Arabia. The current study used the WEKA 3.8.5 and Python programming language (SKLEARN) to decide which method generated the highest level of accuracy while using fewer features. Random forest with grid search (RF with grid search), Artificial Neural Networks (ANN), Support Vector Machine (SVM), Random Forest (RF), J48, XGB Classifier, and XGB Classifier with grid search were the techniques that were compared. The highest level of accuracy obtained with seven features was 84% achieved with the RF using grid search technique, while ANN, SVM, RF, J48, XGB Classifier, and XGB Classifier with grid search obtained 82.85%, 79%, 82.93%, 82.5%,82.21%, and 83.4% accuracy, respectively. © 2022 IEEE.

Role of Internet of Things (IoT) in Adoption of Industry 4.0

Internet of Things (IoT) is a critical component of Industry 4.0. It has extensive applications in the monitoring of production systems in manufacturing and services. This technology opens up newer and innovative possibilities in manufacturing by facilitating higher performance. IoT's major capability is to collect and share information with the help of internet-connected machines and devices. It is associated with unique identification numbers or codes that can be controllable through our daily use devices like smartphones. This technology's major components are software, hardware with the network's connectivity for data altercation, and collection. IoT creates disruptive innovation in the field of manufacturing. The need is to understand this technology and how it can help the contemporary production systems. Here, we have studied the potential of this technology to provide better solutions in Industry 4.0. The major drivers of IoT for Industry 4.0 are studied. This paper discusses how Industry 4.0 helps create a smart factory. Finally, we have identified and studied significant IoT applications to adopt Industry 4.0 successfully, and the same is presented in tabular form. With proper implementation of this technology, industries observe an improvement in efficiency during the manufacturing of products. Manufacturing is done with lesser cost and errors. However, there is a long way to reap full benefits for humankind.

Multisystem Inflammatory Syndrome in Adults (Mis-a) after Covid-19 Infection

INTRODUCTION: Multisystem Inflammatory Syndrome was first described in children (MIS-C) after COVID-19 infection, it is characterized by gastrointestinal symptoms, shock, fevers, elevated inflammatory markers, and systolic dysfunction. A few similar presentations have also been reported in young adults designated as Multisystem Inflammatory Syndrome Adult type (MIS-A). Often, due to multi-organ involvement, extensive testing is undertaken with no yield of a clear etiological factor. We present a case of a 23-year-old male who was admitted into the Critical Care Unit for Encephalopathy with multi-organ dysfunction. DESCRIPTION: A 23-year-old male with a medical history of Williams-Campbell syndrome complicated by severe bronchiectasis and obstructive lung disease requiring 2 liters of oxygen at baseline, presented to the hospital with severe Encephalopathy, notably, he tested positive for COVID-19 one month before presentation with no increase in oxygen requirements until hospital presentation. Vitals were otherwise stable. Initial lab values were significant for an elevated AST of 6,620, ALT of 9,540, Creatinine of 4.71, Troponin-I of 3,913, CRP of 19.2, IL-6 of 22.1, and Ammonia of 171. Further investigative workup, including imaging, did not reveal a clear etiology for his presentation. An Echocardiogram however showed left ventricular dysfunction with an ejection fraction of 41%. Management included: broad-spectrum antibiotics which were discontinued after negative infectious workup, steroids for a suspected exacerbation of his lung condition, lactulose, and CRRT being initiated due to worsening renal function which was attributed to cardiac dysfunction leading to Acute Tubular Necrosis. MIS-A was eventually suspected as a diagnosis of exclusion considering the recent history of COVID-19 infection. Steroids were continued leading to gradual improvement of lab values. DISCUSSION: With COVID-19 continuing to make an impact, it is essential to be cognizant of various presentations and sequela. There have been multiple reports of different kinds of sequela, such is our case of MIS-A for which a long steroid taper is the mainstay of treatment. We want to raise awareness in the medical community of the possible consequences of COVID-19 infection such as MIS-A.

An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification

Early identification and adequate treatment can help prevent lung disorders from becoming chronic, severe, and life-threatening. X-ray images are commonly used and an automated and effective method involving deep learning techniques can potentially contribute to quick and accurate diagnosis of lung disorders. However, in the study of medical imaging using deep learning, two obstacles limit interpretability. One is an insufficient and imbalanced number of training samples in most medical datasets. The other is excessive training time. Although training time can be reduced by decreasing the number of pixels in the images, training with low resolution images tends to result in poor performance. This study represents a solution to overcome these impediments by balancing the number of images and reducing overall processing time while preserving accuracy. The dataset used in this research contains an unequal number of images in the different classes. The quantity of data in the classes is balanced by creating synthetic images based on the patterns and characteristics of the original images, using a Deep Convolutional Generative Adversarial Network (DCGAN). Unwanted regions are removed from the X-ray images, the brightness and contrast of the images are enhanced, and the abnormalities are highlighted by using different artifact removal, noise reduction, and enhancement techniques. We propose a Modified Compact Convolutional Transformer (MCCT) model using 32 × 32 sized images for the categorization of lung disorders into four classes. An ablation study of eleven cases is employed to adjust several hyper parameters and layer topologies. This reduces training time while preserving accuracy. Six transfer learning models, VGG19, VGG16, ResNet152, ResNet50, ResNet50V2, and MobileNet are applied with the same image size the performance is compared with the proposed MCCT model. Our MCCT model records the greatest test accuracy of 95.37%, requiring a short training time, 10-12 s/epoch, whereas the other models only reach near-moderate performance with accuracies ranging from 43% to 79% and training times of 80-90 s/epoch. The robustness of the model with regards to the number of training samples is validated by training the model multiple times reducing the number of training images gradually from 49621 images to 6204 images. Results suggest that even with a smaller dataset, the performance is sustained. Our proposed approach may contribute to an effective CAD based diagnostic system by addressing the issues of insufficient and imbalanced numbers of medical images, excessive training times and low-resolution images. © 2022

Traditional Chinese medicines against COVID-19: A global overview

Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2, continues to be a global concern. Traditional Chinese medicines (TCMs) are an important element of the fight against COVID-19 in China. The combined application of TCMs and conventional medicines in the treatment of COVID-19 has achieved beneficial results, including the resolution of symptoms, prevention of disease progression, and reduced mortality. In this review, we summarize and discuss the current applications of TCMs with respect to COVID-19, as well as update the preclinical and clinical research, including chemical analysis, molecular mechanisms, quality control, drug development, and studies of clinical efficacy. The expectation is that a better understanding of the roles of TCMs against COVID-19 will improve the response to COVID-19, both in China and globally. © 2022 World Journal of Traditonal Chinese Medicine Published by Wolters Kluwer - Medknow.

Genome Scale Phylogenetic Analysis Differentiates SARS-CoV-2 Strains in Pakistani and Indian COVID-19 Patients with and without Travel History

The COVID-19 virus spread around the globe very rapidly during early 2020. Identification of the evolution pattern, and genome scale mutations in SARS-CoV-2 is essential to study the dynamics of this disease. The genomic sequences of thousands of SARS-CoV-2 infected patients from different countries are publicly available for sequence based in-depth analysis. In this study, the DNA sequences of SARS-CoV-2 from the COVID-19 infected patients (having or lacking a travel history) from Pakistan and India, the two highest populous neighboring countries in South Asia, have been analyzed by using computational tools of phylogenetics. These analyses revealed that the SARS-CoV-2 strain in Pakistani traveler COVID-19 patients is closely related to Iranian strains, the strain in non-traveler patients is related to the strain of Wuhan, China. Likewise, in India, the SARS-CoV-2 strains in travelers and non-travelers are closely related to Italy, Germany, and Mexico. The selected approach has also been utilized to find out the identical genomic regions and similar strains around the world. Collectively, our study suggested distinct strains and routes of viral transmission in Pakistan and India. These differences may infer partially the reason for the decline phase in viral propagation in Pakistan two months after the peak COVID-19 load, and rapid viral propagation in India making it the second worst-hit country in the world after the USA.

LIVER INJURY ASSOCIATED WITH TURMERIC&≤x2013;A GROWING PROBLEM: NINE CASES FROM THE DRUG-INDUCED LIVER INJURY NETWORK [DILIN]

BACKGROUND: Turmeric (curcumin) is a commonly used over-the-counter herbal product whose uses include diarrhea, arthritis, cancer and even COVID-19. Recently turmeric has been implicated in cases of clinically apparent liver injury with jaundice. The aim of this case series is to describe the clinical, histologic and human leukocyte antigen (HLA) associations of turmeric-associated hepatotoxicity as seen in the U.S. Drug Induced Liver Injury Network (DILIN) Prospective Study. METHODS: All adjudicated cases enrolled in DILIN between 2003-2020 with turmeric as an implicated product were reviewed. Causality was assessed using a 5-point expert opinion score. Available products were collected and analyzed for the presence of turmeric using ultra-high-performance liquid chromatography. Genetic analyses included HLA sequencing. RESULTS: Of 1697 cases of drug-induced liver injury judged to be definite, highly likely or probable (high confidence), nine (0.5%) were attributed to turmeric, all of which were enrolled since 2012, and 6 since 2017 (Figure). The 9 cases included 7 women, 8 whites, with a mean age of 51 years (range, 35-62 years) and BMI 25 kg/m2 (range, 15-40). Seven patients used alcohol, but none to excess, and none had underlying liver disease. Turmeric was used for an average of 102 days before onset of injury (range, 30-425 days). Initial mean ALT was 1179 U/L (range, 328-2245), ALP 211 U/L (41-441), total bilirubin 5.9 mg/dL (1.2-10.8), and INR 1.0 (0.9-1.2). Six patients developed jaundice, and serum bilirubin peaked at 9.6 mg/dL (0.8-26), and INR 2.3 (1.0- 9.7). Liver injury was hepatocellular in 8 patients (mean R = 22). Five patients had elevated antinuclear antibody (ANA) titer and two anti-smooth muscle (ASM) antibody, but none were treated with corticosteroids. Liver biopsy in 5 patients showed portal and lobular mixed inflammatory infiltrates with lymphocytes and eosinophils typical of drug-induced liver injury. Five patients were hospitalized, and one patient died of acute liver failure. Chemical analysis confirmed the presence of turmeric in all 7 products analyzed;3 also contained piperine (black pepper), and none contained green tea. Of 7 patients with HLA typing available, 4 carried HLA-B*35:01, a class I HLA allele previously implicated in both green tea and Polygonum multiflorum hepatotoxicity. CONCLUSION: Liver injury due to turmeric appears to be increasing, perhaps, reflecting usage patterns or increased combination with black pepper, which increases its absorption. Turmeric liver injury, similar to that caused by other polyphenolic herbal products, is typically hepatocellular, with a latency of 1 to 6 months, and is linked to HLA-B*35:01. While most cases are self-limited, the injury can be severe and result in death or liver transplantation.

Virtual Reality (VR) Applications in Cardiology: A Review

Virtual reality (VR) has applications in cardiology to create enhancement, thereby improving the quality of associated planning, treatment and surgery. The need is to study different applications of this technology in the field of cardiology. We have studied research papers on VR and its applications in cardiology through a detailed bibliometric analysis. The study identified five significant steps for proper implementation of this technology in cardiology. Some challenges are to be undertaken by using this technology, and they can provide some benefits;thus, authors contemplate extensive research and development. This study also identifies 10 major VR technology applications in cardiology and provided a brief description. This innovative technology helps a heart surgeon to perform complex heart surgery effectively. Thus, VR applications have the potential for improving decision-making, which helps save human life. VR plays a significant role in the development of a surgical procedure. This technology undertakes 3D heart model information in full colour, which helps to analyze the overall heart vane, blockage and blood flow. With the help of this digital technology, a surgeon can improve the accuracy of heart surgery, and he can simulate the surgery. A surgeon can undertake surgery in a virtual environment on a virtual patient. The unique purpose of this technology is to practice pre-operatively on the specific circumstance. A cardiologist can also check the proper status of inner and outer heart wall layer. Thus, by using this 3D information, the surgeon can now interact with heart data/information without any physical touch. This technology opens a new opportunity to improve the heart surgery and development in cardiovascular treatment to improve patient outcome.

Decoupling Institutional Pressure on Green Supply Chain Management Efforts to Boost Organizational Performance: Moderating Impact of Big Data Analytics Capabilities

This paper aims to empirically examine the impact of institutional pressure on green supply chain management (GSCM) efforts and the moderating role of big data analytics capabilities (BDAC) on organizational performance. This study greatly develops a research model by integrating institutional theory, the natural resource-based view (NRBV), and dynamic capability theory to explore this relationship. This article is based on structured questionnaire data of 347 supply chain personnel. We employed structural equation modeling to verify the research hypotheses. The findings provide empirical support for institutional pressures affecting GSCM efforts and organizational performance. The results also showed that the moderating effect of BDAC positively strengthened the impact of GSCM effort on organizational performance. The findings extend and refine the existing GSCM literature, providing new insights for scholars to explore this view further. Practitioners can turn their attention to incorporating institutional pressures and advanced technologies into organizational decision-making, even in times of crisis such as Covid-19.

Perception of medical professionals from tertiary care teaching institutes towards the specialty of community medicine and its specialists amid the COVID-19 pandemic

Background: Community Medicine specialists play a crucial role in the prevention and control of communicable and non-communicable diseases, monitoring and surveillance, healthcare planning and management and research but the awareness about the speciality even among the medical fraternity is limited. Aim: To determine the perceptions of Medical Professionals from Tertiary care teaching institutes towards the specialty of community medicine and its specialists. Materials and Methods: This was a web based cross-sectional survey conducted in October- November, 2021 among Medical professionals of Tertiary Care Teaching Institutes in the state of Uttar Pradesh, North India using a semi structured, pretested questionnaire circulated as google forms using WhatsApp and personal email ids.

Oral Health Issues During Pregnancy

Objective: To find out what oral health issues women face during pregnancy. Study Design: A cross-sectional observational study Place and Duration of Study: This study was conducted at the Chiniot General Hospital Korangi Karachi's Dental OPD from November 2019 to July 2020. Materials and Methods: This study was originally intended to involve 150 pregnant women, however owing to the COVID-19 crisis and the closing of dental OPDs, many pregnant women are unable to get dental check-ups and appointments. Thus, 90 individuals' data was gathered, encompassing all phases of pregnancy, and the outcomes of 90 people were analyzed. Each participant gave their informed consent prior to the start of data collection. Results: Seven components were examined during the oral examination. The first was the oral hygiene status, which revealed that 24 women (26.7 percent) had good oral hygiene, whereas 66 women had terrible oral hygiene (73.3 percent). Second, 74 (82.2%) pregnant women had gingival bleeding on probing, which was followed by visible plaque in 77 (85.6%) women, caries activity in 83 (92.2%) women, and extra oral edoema in 14 (15.6%) women. Finally, 78 (86.7%) of the women showed gingival edoema, with 35 (38.9) having localized swelling. Conclusion: The significance of dental care throughout pregnancy, as well as sociodemographic differences in clinical OH during pregnancy, are highlighted in this study, which provides important results for customizing treatments for pregnant women. © 2022 Medical Forum Monthly. All rights reserved.