1.Endoscopic retrograde cholangiopancreatography for acute gallstone pancreatitis: Implementation of an institution safety protocol during the COVID-19 outbreak in Malaysia
Ahmad Ramzi Yusoff ; Fauziah Ahmad ; Kadhim Jawad Obaid
The Medical Journal of Malaysia 2020;75(6):764-766
Coronavirus disease 2019 (COVID-19) is a highly
contagious, severe acute respiratory syndrome that poses
significant health risks to healthcare providers. A delicate
balance is needed between timely intervention for ill patients
without apparent COVID-19 infection and the safety of
healthcare personnel who provide essential treatment in the
midst of the pandemic. We report our experience managing
a 70-year-old man who presented with acute gallstone
pancreatitis at our hospital during the COVID-19 outbreak in
Malaysia. We also describe the safety protocol measures
that have been implemented in our institution to protect the
healthcare personnel from this disease during endoscopic
retrograde cholangiopancreatography. This case illustrates
the importance of meticulous planning, risk assessment,
effective team communication and strict adherence to
recommendations when providing treatment during an
unprecedented pandemic.
2.Homozygous mutations in NTRK1 gene underlie congenital insensitivity to pain with anhidrosis in Pakistani families
Humaira Aziz Sawal ; Muhammad Ikram Ullah ; Arsalan Ahmad ; Abdul Nasir ; Ali Amar ; Ejaz A. Khan ; Mamoon Rashid ; Saqib Mahmood ; Peter John ; Wasim Ahmad ; Christian A. Hübner ; Muhammad Jawad Hassan
Neurology Asia 2016;21(2):129-136
Congenital insensitivity to pain with anhidrosis is a rare autosomal recessive disorder presenting
with loss of pain sensation, thermal sensation defects, and self-mutilating behavior. In the present
study, we recruited two consanguineous pedigree showing pain insensitivity symptoms from Pakistan
for clinical and molecular investigations. In family A, one female patient displayed classical CIPA
symptoms along with microcephaly and severe intellectual disability. During course of the disease,
her right foot was amputated and had remarkable dental degeneration and teeth shedding. In family B,
one boy presented with classical symptoms of congenital insensitivity to pain with anhidrosis. Blood
was collected from both families for molecular studies. Sequencing with the Ilumina Trusight One
Sequencing Panel covering 4813 OMIM genes revealed a known homozygous mutation c.2084C>T;
p.P695L of NTRK1 in family A and a novel truncated mutation c.2025C>G; p.Y681X in family B.
Protein modeling analysis of both mutations (p.P695L and p.Y681X) predicted loss of the rigidity in
tyrosine kinase domain of NTRK1 that led to conformational changes as well as deleterious effect on
protein function. The known mutation was reported more than a decade ago in a family from Northern
Israel and other non-sense mutation is newly identified. It is interested that most of NTRK1 mutations
are associated with this domain. This is first ever report of NTRK1 variants in congenital insensitivity
to pain with anhidrosis patients from Pakistan.
Pain Insensitivity, Congenital
3.Machine learning empowered COVID-19 patient monitoring using non-contact sensing:An extensive review
Saeed UMER ; Shah Yaseen SYED ; Ahmad JAWAD ; Imran Ali MUHAMMAD ; H.Abbasi QAMMER ; Shah Aziz SYED
Journal of Pharmaceutical Analysis 2022;12(2):193-204
The severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),which caused the coronavirus disease 2019(COVID-19)pandemic,has affected more than 400 million people worldwide.With the recent rise of new Delta and Omicron variants,the efficacy of the vaccines has become an important question.The goal of various studies has been to limit the spread of the virus by utilizing wireless sensing technologies to prevent human-to-human interactions,particularly for healthcare workers.In this paper,we discuss the current literature on invasive/contact and non-invasive/non-contact technologies(including Wi-Fi,radar,and software-defined radio)that have been effectively used to detect,diagnose,and monitor human activities and COVID-19 related symptoms,such as irregular respiration.In addition,we focused on cutting-edge machine learning algorithms(such as generative adversarial networks,random forest,multilayer perceptron,support vector machine,extremely randomized trees,and k-nearest neighbors)and their essential role in intelligent healthcare systems.Furthermore,this study highlights the limitations related to non-invasive techniques and prospective research directions.