Clinical Setup Research Articles

Three discipline collaborative radiation therapy (3DCRT) special debate: FLASH radiotherapy needs ongoing basic and animal research before implementing it to a large clinical scale.

Three discipline collaborative radiation therapy (3DCRT) special debate: FLASH radiotherapy needs ongoing basic and animal research before implementing it to a large clinical scale.

In vivo melanin 3D quantification and z-epidermal distribution by multiphoton FLIM, phasor and Pseudo-FLIM analyses

Characterizing melanins in situ and determining their 3D z-epidermal distribution is paramount for understanding physiological/pathological processes of melanin neosynthesis, transfer, degradation or modulation with external UV exposure or cosmetic/pharmaceutical products. Multiphoton fluorescence intensity- and lifetime-based approaches have been shown to afford melanin detection, but how can one quantify melanin in vivo in 3D from multiphoton fluorescence lifetime (FLIM) data, especially since FLIM imaging requires long image acquisition times not compatible with 3D imaging in a clinical setup? We propose an approach combining (i) multiphoton FLIM, (ii) fast image acquisition times, and (iii) a melanin detection method called Pseudo-FLIM, based on slope analysis of autofluorescence intensity decays from temporally binned data. We compare Pseudo-FLIM to FLIM bi-exponential and phasor analyses of synthetic melanin, melanocytes/keratinocytes coculture and in vivo human skin. Using parameters of global 3D epidermal melanin density and z-epidermal distribution profile, we provide first insights into the in vivo knowledge of 3D melanin modulations with constitutive pigmentation versus ethnicity, with seasonality over 1 year and with topical application of retinoic acid or retinol on human skin. Applications of Pseudo-FLIM based melanin detection encompass physiological, pathological, or environmental factors-induced pigmentation modulations up to whitening, anti-photoaging, or photoprotection products evaluation.

PREVALENCE OF THUMB PROBLEMS IN THE PHYSICAL THERAPISTS OF ALEXANDRIA-EGYPT

Background: Work-related injuries to the thumb area have become a well-recognized problem of physical therapists that use various manual techniques in the treatment of patients with musculoskeletal disorders, which can lead to a change in the conduct of treatment technique, changes in the choice of treatment technique, reduction in working hours. , Reduction in the number of patients treated. Objective: To determine the prevalence of thumb problem in physical therapists of Alexandria-Egypt. Study Design: a descriptive, cross-sectional study in a clinical setting Material & Methods: A cross-sectional study was conducted at different physical therapy clinical setups of Alexandria-Egypt. To collect data from the concerned participants, 100 questionnaires were distributed using convenience sampling. All participants responded positively, in which 65 were male and 35 were female. Visual analog scale (VAS) was used to measure the pain. Quick DASH to measure functional disability, Pinch gague to measure thumb power. SPSS version 20 was used for data analysis. Results: Results showed that 48(48%) subjects have thumb pain while 52(52%) do not experience thumb pain. Onehundred physical therapists participated in this study. They recruited from different hospitals and health care institutions in Alexandria-Egypt , age of the study group was 29.82 ± 3.02 years with a minimum of 27 years and a maximum of 42 years. Conclusion: The prevalence of thumb problems in physical therapist of Alexandria-Egypt appears to be high and can be of sufficient severity to impact on careers.

A qualitative study of challenges and enablers faced by private general practitioners providing primary care to patients with complex needs in Singapore

BackgroundSingapore faces an ageing population with increasingly complex healthcare needs, a problem which could be addressed by high quality primary care. Many patients with complex needs are not managed by private general practitioners (GPs) who form the majority of the primary care workforce. Currently, there is paucity of literature describing the needs of these private GPs in providing such care.AimUnderstand the challenges, enablers and possible solutions from the perspective of private GPs in providing primary care of patients with complex needs.MethodWe conducted a qualitative study using an inductive approach. Private GPs were interviewed using a semi-structured question guide with convenience sampling until thematic saturation was reached. These 12 interviewees were part of a network of clinics that provide primary care for complex patients who were recently discharged from a community hospital providing post-acute care. Data was transcribed prior to a process of familiarisation, coded and analysed using thematic analysis by three independent investigators.ResultsThree themes emerged in the analysis. From a micro-organizational standpoint, private GPs and patients with complex needs must be willing to accept each other to have a therapeutic encounter (e.g., patients’ multidimensional needs, GP clinic set-up is simple yet busy). Next, from a meso-organizational view, trust and good communication channels between the referring doctors and private GPs must exist for effective collaboration in managing complex care. Lastly, macro-organizationally, external stakeholders (e.g., policy-makers) should fund care models, which are financially viable to both patients, and private GPs (e.g., via adequate subsidies and renumeration respectively) as such complex care require many resources.ConclusionMultiple factors exist which influence the ability of private GPs in Singapore to care for patients with complex needs. Addressing these factors may reduce the over dependence on high-cost hospitals for care delivery in similar healthcare systems.

Meta-learning with implicit gradients in a few-shot setting for medical image segmentation

Widely used traditional supervised deep learning methods require a large number of training samples but often fail to generalize on unseen datasets. Therefore, a more general application of any trained model is quite limited for medical imaging for clinical practice. Using separately trained models for each unique lesion category or a unique patient population will require sufficiently large curated datasets, which is not practical to use in a real-world clinical set-up. Few-shot learning approaches can not only minimize the need for an enormous number of reliable ground truth labels that are labour-intensive and expensive, but can also be used to model on a dataset coming from a new population. To this end, we propose to exploit an optimization-based implicit model agnostic meta-learning (iMAML) algorithm under few-shot settings for medical image segmentation. Our approach can leverage the learned weights from diverse but small training samples to perform analysis on unseen datasets with high accuracy. We show that, unlike classical few-shot learning approaches, our method improves generalization capability. To our knowledge, this is the first work that exploits iMAML for medical image segmentation and explores the strength of the model on scenarios such as meta-training on unique and mixed instances of lesion datasets. Our quantitative results on publicly available skin and polyp datasets show that the proposed method outperforms the naive supervised baseline model and two recent few-shot segmentation approaches by large margins. In addition, our iMAML approach shows an improvement of 2%–4% in dice score compared to its counterpart MAML for most experiments.

Effect of total body irradiation lung block parameters on lung doses using three-dimensional dosimetry.

PurposeTotal body irradiation (TBI) is an integral part of stem cell transplant. However, patients are at risk of treatment‐related toxicities, including radiation pneumonitis. While lung dose is one of the most crucial aspects of TBI dosimetry, currently available data are based on point doses. As volumetric dose distribution could be substantially altered by lung block parameters, we used 3D dosimetry in our treatment planning system to estimate volumetric lung dose and measure the impact of various lung block designs.Materials and methodsWe commissioned a TBI beam model in RayStation that matches the measured tissue‐phantom ratio under our clinical TBI setup. Cerrobend blocks were automatically generated in RayStation on thoracic Computed Tomography (CT) scans from three anonymized patients using the lung, clavicle, spine, and diaphragmatic contours. The margin for block edge was varied to 0, 1, or 2 cm from the superior, lateral, and inferior thoracic borders, with a uniform margin 2.5 cm lateral to the vertebral bodies. The lung dose was calculated and compared with a prescription dose of 1200 cGy in six fractions (three with blocks and three without).ResultThe point dose at midplane under the block and the average lung dose are at the range of 73%–76% and 80%–88% of prescription dose respectively regardless of the block margins. In contrast, the percent lung volume receiving 10 Gy increased by nearly two‐fold, from 31% to 60% over the margins from 0 to 2 cm.ConclusionsThe TPS‐derived 3D lung dose is substantially different from the nominal dose assumed with HVL lung blocks. Point doses under the block are insufficient to accurately gauge the relationship between dose and pneumonitis, and TBI dosimetry could be highly variable between patients and institutions as more descriptive parameters are not included in protocols. Much progress remains to be made to optimize and standardize technical aspects of TBI, and better dosimetry could provide more precise dosimetric predictors for pneumonitis risk.

Design and Validation of an IMU Based Full Hand Kinematic Measurement System

Measurement of hand kinematics is commonly done using data gloves and optical trackers and finds application in biomechanics, motor control research, clinical assessment, virtual reality etc. While data gloves are expensive and restrict the dexterity of the hand, optical trackers are susceptible to the line-of-sight problem and can be used only in a laboratory setting. Over the last decade, the use of Inertial Measurement Units (IMUs) to measure kinematics has gained traction due to their affordability and good accuracy. This paper presents the design and validation of a BNO055 IMU-based full Hand Kinematics Measurement System (HKMS). The best features from existing IMU-based devices were identified from the literature and incorporated. The HKMS streams orientation information of 16 BNO055 IMUs in real-time at 100 Hz via Wi-Fi or USB. A rigorous static and dynamic validation of the BNO055 IMU was done against 3D printed models and the highly accurate Electro Magnetic Tracking System (EMTS). The RMSE errors were found to be acceptable for the measurement of hand kinematics. Two experiments were conducted to collect hand kinematic data for various postures and object grasps using the HKMS and EMTS, respectively. Synergy analysis was done and range of motion of the joints was calculated using the two datasets. The results were compared to get an idea of the quality of the dataset collected using the HKMS. The results as well as the overall validation of the sensors indicate that the HKMS may be suitable for usage in a laboratory or clinical setup.

Multi-Scale Part-Based Syndrome Classification of 3D Facial Images

Identification and delineation of craniofacial characteristics support the clinical and molecular diagnosis of genetic syndromes. Deep learning (DL) frameworks for syndrome identification from 2D facial images are trained on large clinical datasets using standard convolutional neural networks for classification. In contrast, despite the increased availability of 3D scanners in clinical setups, similar frameworks remain absent for 3D facial photographs. The main challenges involve working with smaller datasets and the need for DL operations applicable to 3D geometric data. Therefore, to date, most 3D methods refrain from working across multiple syndromic groups and/or are solely based on traditional machine learning. The first contribution of this work is the use of geometric deep learning with spiral convolutions in a triplet-loss architecture. This geometric encoding (GE) learns a lower dimensional metric space from 3D facial data that is used as input to linear discriminant analysis (LDA) performing multiclass classification. Benchmarking is done against principal component analysis (PCA), a common technique in 3D facial shape analysis, and related work based on 65 distinct 3D facial landmarks as input to LDA. The second contribution of this work involves a part-based implementation to 3D facial shape analysis and multi-class syndrome classification, and this is applied to both GE and PCA. Based on 1,786 3D facial photographs of controls and individuals from 13 different syndrome classes, a five-fold cross-validation was used to investigate both contributions. Results indicate that GE performs better than PCA as input to LDA, and this especially so for more compact (lower dimensional) spaces. In addition, a part-based approach increases performance significantly for both GE and PCA, with a more significant improvement for the latter. I.e., this contribution enhances the power of the dataset. Finally, and interestingly, according to ablation studies within the part-based approach, the upper lip is the most distinguishing facial segment for classifying genetic syndromes in our dataset, which follows clinical expectation. This work stimulates an enhanced use of advanced part-based geometric deep learning methods for 3D facial imaging in clinical genetics.

Anti-inflammatory, anti-infectious and anti-cancer potential of marine algae and sponge: A review

Marine organisms are potentially a pretty good source of highly bioactive secondary metabolites that are best known for their anti-inflammation, anti-infection, and anti-cancer potential. The growing threat of bacterial resistance to synthetic antibiotics, is a potential source to screen terrestrial and marine natural organisms to discover promising anti-inflammatory and antimicrobial agents which can synergistically overcome the inflammatory and infectious disases. Algae and sponge have been studied enormously to evaluate their medicinal potential to fix variety of diseases, especially inflammation, infections, cancers, and diabetes. Cytarabine is the first isolated biomolecule from marine organism which was successfully practiced in clinical setup as chemotherapeutic agent against xylogenous leukemia both in acute and chronic conditions. This discovery opened the horizon for systematic evaluation of broad range of human disorders. This review is designed to look into the literature reported on anti-inflammatory, anti-infectious, and anti-cancerous potential of algae and sponge to refine the isolated compounds for value addition process.

Looking beyond the obvious: Role of non-invasive electroanalgesia in management of cancer pain.

Pain is considered as one of the most debilitating symptoms of cancer and its treatment. Owing to the limited efficacy of traditional pharmacological interventions to address cancer pain in its entirety, an avenue exists for exploration into nonpharmacological therapies. Analgesia using non-invasive electrotherapeutic modalities such as transcutaneous electrical nerve stimulation (TENS) and scrambler therapy emerges as a viable option to address cancer pain. The inability of these modalities to find a place within the recommended clinical guidelines has possibly resulted in the paucity of application of the same within the clinical setup. This perspective article aims at stimulating a discussion surrounding the inclusion of non-invasive neuromodulatory treatment techniques such as TENS and scrambler therapy to combat cancer pain and explore the benefits and pitfalls of using these techniques as an adjunct to the pre-existing treatment strategies. It is envisioned that this opinion piece will open a dialogue about a possible home for non-invasive electroanalgesia within the clinical treatment pathway for cancer pain.

Psychometric properties of Kessler's Psychological Distress Scale (K10) in cancer patients

Context: Kessler's Psychological Distress Scale (K10) is a self-rated, easy-to-apply scale to measure psychological distress. The suitability of its use in treatment-seeking cancer patients in the clinical setup has not been studied. Aims: The aim was to assess the psychometric properties and associations of K10 with sociodemographic and clinical variables and depression levels in the cancer patients visiting the hospital. Settings and Design: The research was a cross-sectional, observational, descriptive study conducted in the oncology outpatient department of a public hospital. Materials and Methods: The data were collected from 155 cancer patients using semi-structured pro forma for sociodemographic and illness-related information. K10 and Patient Health Questionnaire-9 were used to quantify psychological distress and depression. Statistical Analysis Used: The factor structure of Kessler's 10-item scale was assessed by confirmatory factor analysis, and Cronbach's alpha was calculated as a measure of internal consistency. Given the nonnormal distribution of quantitative data, nonparametric tests were used to analyze the association of K10 scores with sociodemographic and clinical variables and depression scores. Results: The K10 showed good internal consistency (Cronbach's alpha = 0.914) in the cancer patients. In confirmatory factor analysis using structural equation modeling, the single-factor and two-factor models could not adequately fit across goodness-of-fit indices. There was a significant association between the levels of psychological distress and depression in cancer patients. Conclusion: K10, in its current form, is a reliable instrument to measure psychological distress. However, a need-based modification of the existing scale is required in treatment-seeking cancer patients.

Circulating C-Terminal Agrin Fragment

Background:Undetected onset of sarcopenia among individuals with chronic diseases especially Type 2 Diabetes Mellitus (T2D) makes it important to be evaluated. The feasibility of diagnosing sarcopenia in a clinical setup might be a difficult task. Circulating markers including C-terminal agrin fragment (CAF) are emerging as an alternative. Hence, the objectives of the study were to compare circulating CAF levels between T2D, prediabetes (PD) and healthy controls and to study its association with sarcopenic index, muscle mass, strength and quality.Methods:Ninety-nine participants (n = 42, T2D; n = 33, PD; n = 24, healthy controls) aged 18 to 60 yrs were recruited. HOMA (homeostatic model assessment) indices were derived using plasma glucose and insulin. All participants underwent lipid profiling, muscle strength including quality (isokinetic dynamometer), body composition (Dual energy X-ray Absorptiometry (DXA)) and sarcopenic index (appendicular skeletal muscle mass/body weight) assessment. Serum samples were used to estimate CAF levelsusing enzyme-linked immunosorbent assay (ELISA).Results:Median CAF level was significantly higher among T2D group compared to PD and control groups (P < 0.0001). Circulating CAF levels correlated positively with age and glycated haemoglobin (HbA1c) (both, P < 0.001) and negatively with HOMA-B and muscle quality (both, P < 0.001), and sarcopenic index (P = 0.07). Multivariable analysis demonstrated that the odds of being in the highest tertile category was 7.67, 95% C.I. (2.10, 29.3) among T2D.Conclusion:Circulating CAF levels were significantly higher among T2D compared to PD and control study groups along with reduced skeletal muscle quality. This suggests that the circulating CAF level has the potential to be considered as a clinical marker to evaluate sarcopenia among T2D.

Assessment of preparedness of dental clinics for medical emergencies

Introduction: Medical emergencies are inevitable in clinical dental set-up. They put the well-being of patients at risk. If addressed properly, severity of such episodes can be brought down significantly. So the aim of this study was to assess the preparedness of dental Practitioners to manage medical emergencies in dental clinics.Materials and Method: This cross-sectional survey was done among 150 graduate and postgraduate Practitioners. The participants filled self-administered questionnaire consisting of 23 close-ended questions. Descriptive analysis using Chi-square test was done to compare two groups. P-value of

Processes and experiences of satellite haemophilia clinic set-ups in Uganda – a short report

Abstract Haemophilia knowledge and care are largely missing in much of sub-Saharan Africa and there is a need for concerted efforts to ensure access to care services by affected persons. Haemophilia Foundation Uganda, supported by the global haemophilia community and working with the Uganda Ministry of Health, has set up eight satellite haemophilia treatment centres (HTCs) as part of a wider initiative to raise awareness and improve haemophilia care. Setting up the HTCs has involved a six-step process involving stakeholders in government, healthcare and the community, and ranging from securing initial support to an ongoing follow-up programme of mentorship and training. Over 1,700 healthcare professionals have been trained and 186 patients have been registered at these peripheral facilities over the past five years. This is helping to improve access to care, but there are still shortcomings around diagnostic capacity, available healthcare personnel, and facilities to procure recombinant factor products. We will continue and further our advocacy for budgetary inclusion of haemophilia at political and facility levels. We also propose a continued strengthening of the haemophilia care teams through mentorship, networking, and mobilisation for diagnostic support at large public hospitals.

Theory Guided Practices: An Approach to Better Nursing Care through Roy Adaptation Model

Introduction: The nursing discipline is considered an integral part of the health care delivery system. Effective nursing practice needs the application of knowledge, skills, critical thinking, and art of care in an efficient, effective, and considerate method. This can be achieved through an amalgamation of understanding, practice, and nursing theories. The theory provides a logical way to organize for and give direction to nursing care. Theory-guided nursing practices act as a fundamental framework for the development of proactive and organized nursing care that assist to improve quality nursing care. Aim: The paper aims to elaborate on the theory-guided nursing practice by utilization of the Roy Adaptation Model in the clinical setup for delivering effective nursing care. Methodology: This paper will illustrate the case study of a breast cancer patient and the application of Sister Calista Roy’s Adaptation Model into nursing practice and the nursing process. Discussion: Theory-guided assessment, nursing care, and interventions provide the foundation for the development of suitable and meaningful nursing practices. Theories and models provide a basis for quality nursing practices and are considered a vital component of patient, family, and community care. Conclusion: The theory-guided practices are more efficient and possess better control over the outcome of nursing care through a purposeful and systematic approach.

Automated sleep apnea detection in pregnant women using wavelet-based features

Sleep apnea is a severe sleep disorder that degrades the quality of sleep and causes patients to feel restless and fatigued even after a full night's sleep. Sleep-disordered breathing (SDB) research has grown its importance in recent decades, owing to patients' substantial health effects and poor quality of life. Obstructive sleep apnea (OSA), the most prevalent kind of sleep disorder, that is caused due to a partial blockage in the nasal airway, resulting in low oxygen levels in the patient's blood. The drop in oxygen level may cause high blood pressure, which can lead to major cardiac issues. Further, OSA is also a risk for pregnancy complications in first-time pregnant women (nulliparous pregnancy), as emerging research and studies suggest a strong relationship between sleep-disordered breathing patients and critical pregnancy outcomes like preeclampsia, preterm birth, gestational diabetes, and intrauterine growth retardation.Polysomnography (PSG) recordings with multiple-channel various modalities signals are often used to detect sleep problems. This study aims to detect sleep apnea in nulliparous pregnant women using a simplified PSG-based system that employed only airflow signals. We used the ‘nulliparous pregnancy outcomes study monitoring mothers-to-be (nuMOM2b)’ database, containing 3012 women subjects for sleep-disordered breathing (SDB) related sub-studies. To the best of our knowledge, this is the first computer-aided diagnostic tool developed to automatically identify sleep apnea in pregnant women. In this work on the detection of OSA, we proposed the use of a single-channel airflow (AF) signal in combination with an orthogonal wavelet filter bank. The L1 − norm features are extracted from wavelet coefficients. The selected features are then fed into various machine learning classifiers to automatically detect apnea. The developed model obtained a highest accuracy of 83.9% with an F1 score of 0.91 using the RUSBoosted tree classifier with ten-fold cross-validation (CV) strategy. The system proposed can be used in a home-based compact clinical setup to detect apnea in pregnant women.

Knowledge, attitude, and practice about infection control protocols among pediatric dentists in India during COVID-19 pandemic: An online cross-sectional survey

Introduction: The aim of this study was to assess the knowledge, attitude, and practice of infection control protocols among pediatric dentists in India during the COVID-19 pandemic. Materials and Methods: An online cross-sectional survey using a semi-structured questionnaire was conducted in the Department of Pediatric and Preventive Dentistry, Malabar Dental College and Research Centre, Manoor, Kerala, and a link for Google Forms was shared with pediatric dentists on social media (i.e., Facebook and WhatsApp). Results: A total of 205 respondents were included in the final analysis, of which 91.22% were following the current WHO/DCI/IDA/CDC Guidelines regarding cross-infection control of COVID-19 in their practice. Majority of the participants had to modify their clinic setup to follow the WHO/DCI/IDA/CDC guidelines to practice during the COVID-19 pandemic. Most of the participants reported that these infection control protocols affected the income-expenditure of their clinics. Conclusion: The findings of the study revealed that most of the subjects had adequate knowledge regarding infection control protocol and are practicing it resulting in few cases of COVID-19 infection among the dentists.

The Prevalence and Antibacterial Susceptibility Pattern of Uropathogenic Bacteria among People of Islamabad

Bacteria belonging to different genera are responsible for urinary tract infections. Antibacterial agents are routinely administered to treat these urinary tract infections. To counteract the effect of antibiotics, different bacteria develop resistance to these antibiotics. The aim of the present study was to check the prevalence of uropathogenic bacteria among the studied population. For this purpose, 150 urine samples were collected and were processed for the isolation and identification of disease causing pathogen. The bacteria were identified by using API strips. Furthermore, the antibiotic susceptibility testing was also performed for routinely administered antibiotics. From the present study it was observed that urinary tract infections have affected more females as compared to males. Majority of the UTI patients belonged to the age between 21 to 30 years. The isolated bacteria belonged to different genera including E.coli, Klebsiella sp, Pseudomonas sp, Proteus sp, E. fecalis, and Citrobacter sp. The most prevalent UTI pathogen among the studied group was E.coli. The antimicrobial susceptibility testing results have shown that the isolated bacteria from urine samples of patients with urinary tract infections resisted multiple tested antibiotics and were characterized as multi drug resistant bacteria. From the present study it has been concluded that E.coli is the most commonly found pathogen among the UTI pathogens and antibiotic resistance is rapidly increasing among these pathogenic bacteria. Further study must be carried out in different clinical setups to evaluate the urinary tract infection complication so that their increasing prevalence can be minimized.

Astronaut Era: Does Your Child Patient Accept Your New Look and Practicality of Using Behaviour Modification Techniques in COVID Times?

Background: The coronavirus (COVID-19) has challenged health care professionals and dental professionals play a pivotal role in preventing transmission of COVID 19.&#x0D; Aim: This study aimed to evaluate the knowledge, attitude, skills and preparedness of Pediatric dentist in managing a case in their dental operatory in COVID times.&#x0D; Materials and Methodology: A cross-sectional survey was carried out in June 2020 on 52 dental specialists who were contacts of invigilator and had done post graduation in Pedodontics and Preventine Dentistry at Delhi NCR or were practicing Pedodontist in Jammu &amp; Kashmir. A 10 question based questionnaire was developed to assess their knowledge, awareness and skills . Data were subjected to appropriate statistical measures and analyzed.&#x0D; Result: Amongst 52 Pedodontist who took part in survey 23.08% were pedodontist with experience of three and more years where as 53.85% were still undergoing postgraduation in the speciality of Pedodontics and Preventive Dentistry.100% of pediatric dentist thought its pre requisite to screen the temperature of all the children and attendants using infrared thermometer before taking proper history and thought of conducting examination only after a preprocedural mouthrinse of 1% hydrogen peroxide.&#x0D; Conclusion: An aware and knowledgeable pedodontist following the latest guidelines can handle children well in situation where behaviour modification techniques are hampered due to use of PPE(Personnal Protective Equipment). It is important to educate all the patients about coughing etiquettes and the dental professionals about modification required in a dental clinic set-up for managing cases requiring urgent dental care.

Pharmacological activities of Coconut in Metabolic Diseases: A Review

Cocos nucifera (L.), (C. nucifera) Arecaceae, also called the coconut tree, is probably the widely most extensively dispersed fruit plant and supplies all the necessities of life. It is an important economic plant that feeds a million people. All the parts of coconut plant are extensively used for religious practices, culinary purposes, for making household equipment’s and is also used as traditional medicine. The goal of the review is to provide an insight into its phytochemical profile and its therapeutic potential in metabolic diseases. The plant as a whole possess plethora of uses such as, neuroprotective activity, antidiabetic activity, anticancer activity, antihypertensive and lipid lowering activity. Various study reports its safety in preclinical and clinical setup.