Heavy snowfall linked to heart attack? Shovelling seen as the main reason

February 16, 2017

Toronto, Feb 16: People living in regions that see heavy snowfall, like India’s Himalayan region, better be careful as you are at an increased risk of a heart attack after a heavy snowstorm, a new study suggests.snow212

The risk was found to be particularly higher for men and researchers believe that shovelling is the main mechanism linking snowfall with heart attack, or myocardial infarction (MI).

“Men are potentially more likely than women to shovel, particularly after heavy snowfalls. Snow shovelling is a demanding cardiovascular exercise requiring more than 75 per cent of the maximum heart rate, particularly with heavy loads,” said study co-author Nathalie Auger from University of Montreal Hospital Research Centre in Quebec, Canada.

The team of researchers looked at data from two separate administrative databases on 128,073 individual hospital admissions and 68,155 deaths from heart attack (MI) in the province of Quebec between 1981 and 2014.

They restricted analysis to months in which snow falls, November to April, and obtained detailed weather information from Environment Canada for each health region included in the study.

About 60 per cent of hospital admissions and deaths due to heart attack were in men, showed the study published in the Canadian Medical Association Journal.

The day after a snowfall had the strongest association.

“Quantity of snowfall was associated with an increased likelihood of hospital admission or death due to MI the following day among men,” the study said.

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Agencies
June 24,2020

New Delhi, Jun 24: Expanding the testing criterion for coronavirus, the Indian Council of Medical Research has said it should be made widely available to all symptomatic individuals across the country.

"Since test, track and treat' is the only way to prevent spread of infection and save lives, it is imperative that testing should be made widely available to all symptomatic individuals in every part of the country and contact tracing mechanisms for containment of infection are further strengthened," it said in an advisory on 'Newer Additional Strategies for COVID-19 Testing' on Tuesday.

In its revised testing strategy for COVID-19 issued on May 18, the Indian Council of Medical Research (ICMR) had advised testing for all symptomatic Influenza-like illness (ILI) among returnees and migrants within seven days of illness.

All hospitalised patients who develop ILI symptoms, symptomatic individuals living within hotspots or containment zones and healthcare and frontline workers involved in containment and mitigation of coronavirus were also advised testing.

The apex health research body has also advised authorities to enable all government and private hospitals, offices and public sector units to perform antibody-based COVID-19 testing for surveillance to help allay fears and anxiety of healthcare workers and office employees.

The earlier advisories on rapid antibody testing advisories had focused on areas reporting clusters (containment zones), large migration gatherings/evacuees centers and testing of symptomatic ILI individuals at facility level.

Besides, the ICMR on Tuesday also recommended deployment of rapid antigen detection tests for COVID-19 in combination with RT-PCR tests in all containment zones, all central and state government medical colleges and government hospitals, all private hospitals approved by the National Accreditation Board for Hospitals and Healthcare (NABH), all NABL-accredited and ICMR approved private labs, for COVID-19 testing.

All hospitals, laboratories and state governments intending to perform the point-of-care antigen tests need to register with ICMR to obtain the login credentials for data entry.

"ICMR advises all state governments, public and private institutions concerned to take required steps to scale up testing for COVID-19 by deploying combination of various tests as advised," the advisory added.

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Agencies
May 5,2020

The lockdown forced by the coronavirus in India has had some unexpected but positive fallouts: It has brought families together and reduced corporate politics, says an expert working in the field for the past decade.

"Today the whole world is on lockdown because of COVID-19, and all that we read, talk and hear is about life and death. We can't deny that the times are tough and the future is uncertain. But I would like to turn the coin and see the other side: the positive side," Shikha Mittal, Founder Director of Be.artsy told IANS in an interview.

Be.artsy is one of India's leading social awareness enterprises which deals with emotions at work and promotes arts as a communication tool for workplaces.

"In the 21st century, personally and professionally, people are practising politics over humanity, competition over collaboration, and have lost touch with themselves due to materialistic desires. During the lockdown, we are forced to confront our existing daily lives, and two interesting things that we can ponder upon, have emerged.

"First, have we ever looked at our family with the same lens as we are using today? What is it that we are doing differently with family today, and what can we do to carry our actions of today into our tomorrow? This is the premise of the #aajjaisakalcontest" that Be.artsy has launched across India.

The aim is "to encourage people to share one habit or life skill that they never practiced earlier, but post Covid-19 would like to continue and enjoy".

How did Be.artsy come about?

"I used to be in the corporate world, earning promotions and greater responsibility. However, the work conditions in those days were unfriendly to women and I had faced many instances of sexual harassment and workplace harassment in the six years of my corporate career. And that's when I had an epiphany."

Be.artsy's most popular programmes are on Prevention of Sexual Harassment (POSH) and on Financial Literacy which makes young people financially independent and better prepared to face the corporate world. "We know that a stitch in time (of planning for the future) saves nine (debt trap, dependence, health emergencies, expenses exceeding income, no savings, families without support, retirement in poverty, lost dreams, extravagance). This can only be achieved by sensitisation," Mittal explained.

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News Network
February 26,2020

New York, Feb 26:  A new wearable sensor that works in conjunction with artificial intelligence (AI) technology could help doctors remotely detect critical changes in heart failure patients days before a health crisis occurs, says a study.

The researchers said the system could eventually help avert up to one in three heart failure readmissions in the weeks following initial discharge from the hospital and help patients sustain a better quality of life.

"This study shows that we can accurately predict the likelihood of hospitalisation for heart failure deterioration well before doctors and patients know that something is wrong," says the study's lead author Josef Stehlik from University of Utah in the US.

"Being able to readily detect changes in the heart sufficiently early will allow physicians to initiate prompt interventions that could prevent rehospitalisation and stave off worsening heart failure," Stehlik added.

According to the researchers, even if patients survive, they have poor functional capacity, poor exercise tolerance and low quality of life after hospitalisations.

"This patch, this new diagnostic tool, could potentially help us prevent hospitalizations and decline in patient status," Stehlik said.

For the findings, published in the journal Circulation: Heart Failure, the researchers followed 100 heart failure patients, average age 68, who were diagnosed and treated at four veterans administration (VA) hospitals in Utah, Texas, California, and Florida.

After discharge, participants wore an adhesive sensor patch on their chests 24 hours a day for up to three months.

The sensor monitored continuous electrocardiogram (ECG) and motion of each subject.

This information was transmitted from the sensor via Bluetooth to a smartphone and then passed on to an analytics platform, developed by PhysIQ, on a secure server, which derived heart rate, heart rhythm, respiratory rate, walking, sleep, body posture and other normal activities.

Using artificial intelligence, the analytics established a normal baseline for each patient. When the data deviated from normal, the platform generated an indication that the patient's heart failure was getting worse.

Overall, the system accurately predicted the impending need for hospitalization more than 80 per cent of the time.

On average, this prediction occurred 10.4 days before a readmission took place (median 6.5 days), the study said.

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