Coffee associated with improved sports performance in men, women

Singapore, Feb 24: Last week Singapore's Ministry of Trade and Industry revised their 2020 GDP growth projections downwards to -0.5 to 1.5 per cent, confirming fears of economic fallout from the coronavirus COVID-19. Just three days earlier, while visiting Changi Airport, the Prime Minister told the media that the country is bracing for a significant hit on the economy and the possibility of a recession.

In the budget announcement on February 18, various measures to help affected companies were announced.

This included a jobs support scheme to help companies retain workers that will see the government offset 8 per cent of wages up to SGD3,600(USD2,600) per worker, per month, for a three-month period. Companies will also get a 25 per cent rebate on their taxes for the year capped at SGD15,000 (USD10,800) per company.

There will be additional support for sectors directly affected by the virus outbreak such as tourism, aviation and retail. Qualifying companies will be given property tax rebates and can apply for temporary bridging loans to ease cash flow. Rebates will be offered on aircraft landing and parking charges as well as rental rebates for shops and cargo agents at Changi Airport.

Overall, the economic package will cost Singapore some USD 4.6 billion, well in excess of the USD 500 million some analysts had predicted. The resulting spending plan including the virus economic package will see a budget deficit of SGD 10.9 billion or 2.1 per cent of GDP, the highest since the Asian financial crisis of 1997.

It is hoped that with financial support, companies in Singapore will not only be able to ride through the current rough patch but be able to position themselves better to take off once the economic crisis brought upon by the contagion is over.

Which then are the Singapore companies that can potentially ride out the current storm and emerge stronger?

Aviation and hospitality firms are among those most impacted by the virus outbreak and Singapore Airlines (SIA) comes to mind. SIA is a well-run company but has seen its share price fall about 5.2 percent since the beginning of the year. In the short term, revenue and profits will no doubt be affected but it will recover in the long run.

Hospitality sector companies like Ascott Residence whose main sponsor is Capitaland, Southeast Asia's largest landlord, and CDL Hospitality, have seen 1.5 and 5.5 percent (respectively) shaved off their share prices since the start of the year.

In reporting financial results for the quarter which ended in December on February 14, Alibaba CEO Daniel Zhang said that due to the virus, they are seeing large changes in buying patterns. With widespread home confinement, there is a growing demand for delivery services including online food and grocery delivery, as well as office apps and streaming entertainment.

Similarly, in Singapore, with more people staying and working from home, the three main food delivery services, Grab Food, Foodpanda and Deliveroo, are doing roaring business. All three are privately held.

In late January, as the scale of the outbreak became more apparent, investors began pouring money into health-product firms in Asia that they think will benefit from the virus outbreak.

Bloomberg reported that when Chinese pharmaceutical companies like Da An Gene Co, Xilong Scientific and Shanghai Kehua Bio-Engineering said they have developed kits for detecting the virus, their stocks soared to hit the 10 per cent daily limit. Firms manufacturing protection gear and air-cleaning equipment climbed more than 10 per cent in Japan, while Malaysian rubber gloves producers climbed at least 5 per cent.

Naturally, many would view that pharmaceutical companies that have the technology and expertise to develop drugs to treat patients with the virus or are able to develop a vaccine, would stand to benefit from the coronavirus outbreak.

Firms like and Johnson & Johnson, Pfizer, MSD, GlaxoSmithKline (GSK) and Sanofi are the pharmaceutical behemoths that dominate the global vaccine market.

However, industry experts speaking to the BBC warned that a pot of gold is not necessarily waiting for any company that successfully develops a vaccine. Although the global vaccine market is expected to grow to USD60 billion this year, it is costly and time-consuming to develop and pass it through for use by the general public.

It is also unclear if Indian pharmaceutical firms will be able to benefit from the demand for medicines that can treat or prevent the virus.

India is the world's largest manufacturer of generic drugs and it supplies 20 percent of the world's drugs by volume. However, it sources 70 percent of its raw material from China. If supplies are disrupted beyond a month to a month and a half, they may see a slow-down in production. According to a CNN report, the companies that are most impacted by material shortages are GSK India, Pfizer (PFE) and Cipla. Other companies like Aurobindo Pharma, Cadila Healthcare and Sun Pharma are said to be carefully monitoring the situation.

Between 30-40 per cent of deaths from studies in intensive care units from different countries are people with diabetes, said Paul Zimmet, Professor of Diabetes, Monash University, Australia.

Zimmet, who is President International Diabetes Federation, added that the actual mechanism as to why COVID-19 may cause diabetes is as yet unknown, however, several possibilities exist. "COVID-19 is a very destructive and cunning virus and causes terrible damage to tissues including the lungs and pancreas," said Zimmet. Below are excerpts from an exclusive chat with IANS.

Why do you say Diabetes is dynamite if a person has been infected with COVID-19?

There have been many deaths in many countries, e.g. Italy, China, the UK and US among people with diabetes after infection with COVID-19 (SARS-Cov-2).

The mortality tends to be mainly in older Type 2 diabetics. Between 30-40 per cent of deaths from studies in intensive care units from different countries are people with diabetes. This outcome and other complications from the virus, particularly pneumonia, are more likely in people with diabetes which is poorly controlled with high blood sugars (poor metabolic control).

Diabetes is often associated with other chronic conditions, including obesity, hypertension and heart disease compounding the risk. These latter conditions all convey higher risk to COVID-19 infections.

ACE-2, which binds to SARS-Cov-2 and allows the virus to enter human cells is also located in organs and tissues involved in glucose metabolism. Is there solid evidence that virus after entering tissues may cause multiple and complex impairment of glucose metabolism?

The actual mechanism as to why COVID-19 may cause diabetes is as yet unknown.

However, several possibilities exist. Firstly, COVID-19 is a very destructive and cunning virus and causes terrible damage to tissues, including the lungs and pancreas.

A new study just published showed that in miniature lab-grown pancreas, and other cells such as liver, made using human stem cells, COVID-19 caused destruction of the pancreas beta cells that produce insulin.

It is possible that the virus causes disruption of the cells by disrupting cellular metabolism. This is possibly the way it brings about new-onset diabetes. ACE-2 exists in high concentration in the lung as this also explains the terrible lung side effects of COVID-19 infections.

Can COVID-19 lead to a new mechanism of diabetes? Probably a new form of diabetes or a new form of disease?

The COVID-19 virus has only been with us for about 5 months and there is a huge amount that we still must learn about its cunning and devastating ways. The purpose of the Global COVIDIAB Diabetes Registry, a joint initiative of Monash University in Australia, and King’s College London is to gain a much better understanding of how common is the appearance of COVID-19 related diabetes, what form does it take be it type 1 or type 2 or a new form, and how common are the complications that we already know e.g. diabetic keto-acidosis, hyperosmolar coma and high insulin requirements are causing high rates of ill health and mortality worldwide. The knowledge gained will aid our understanding for developing strategies to prevent and treat this terrible virus that has caused destruction globally.

Diabetes is one of the most prevalent chronic diseases in India. According to a recent study, sugar levels of diabetic persons increased by 20 per cent during nationwide lockdown in India to contain COVID-19 outbreak. Even after lockdown was lifted, many people are confined within their home. Do you think lack of physical activity will create more problems for diabetics?

My own major research has been on studying populations with high rates of diabetes, including ethnic Indian communities including India, Mauritius, and Fiji so I am very well aware of this. It is now well established that along with diabetes, that associated poor metabolic control of their diabetes places these people at the highest risk for COVID infection and its devastating complications and the associated morbidity and mortality. And these communities have high prevalence of heart disease as well.

Lockdown not only has deleterious effects on metabolic control of the diabetes through reduced opportunities for exercise to be protective serious consequences of SARS-CoV-2 infection, lockdown usually results in disruption of the regular medical care and the regular monitoring of metabolic control. This may also be partly due to the stress and poor compliance, or inability to afford their medications such as insulin. It may also be compounded by inability to access the care during the pandemic. Nevertheless, we now know that poor metabolic control heightens their risk as described above.

You have said diabetes is itself a pandemic just like Covid-19, and the two pandemics could be clashing. How could governments address this problem?

These are “The Times of COVID-19”. Most nations of the world were totally unprepared for a pandemic of this magnitude. They underestimated its potential impact and the destructive nature of the viral infection. This should prompt all countries to upgrade their guidelines to take into account the lessons learnt on infection control including training of staff specialising in infectious diseases and improved public education and taking their communities into their confidence about the terrible nature of COVID-19. The risks of COVID-19 infection need a much higher priority in the general community, particularly for people with chronic conditions such as diabetes, obesity, and cardiac conditions.

Governments are faced with chronic diseases (NCDs) like diabetes and communicable diseases (CDs) like viral and enteric diseases and TB. In general WHO gives the highest priority to communicable diseases and much less attention and funding to chronic diseases like diabetes (I was an adviser to WHO for many years (about 30) on diabetes and obesity and it was very frustrating to deal with this situation).

This attitude to diabetes, for example, has a flow down effect so that diabetes funding in countries by governments, rich and poor, suffered and was insufficient.

So now we have a COVID-19 pandemic and who are those at highest risk, yes people with diabetes and other NCDs, it is very important that now the two, Diabetes and COVID-19 are clashing face-to-face. This is a major issue that WHO and national governments have to face with equal priority’

Stressed people suffering from diabetes run a greater risk of poor blood glucose levels, what do you suggest to these people?

As mentioned in the answer above, stress is an important factor in upsetting the blood sugar (metabolic) control of diabetes. Additive to this is poor compliance with medications and diet. These and potential associated comorbidities due to other chronic conditions are part of the dynamic dynamite mixture.

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.