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Published on: Apr 28, 2020
4 minute read
By: Dr Rajan Choudhary

Strokes In The Young And How COVID Causing Clotting Disorders?

Strokes in the young and healthy: how is COVID causing clotting disorders?

In the news, there has been a rush in stories linking Strokes in young and healthy patients, patients who also have COIVD-19. This is certainly worrying news, and at first glance, it is difficult to explain. How does a respiratory virus, one that is very similar to the coronavirus responsible for the common cold, cause such serious issues in a completely unrelated organ system? In this two-part series we will first go over the basics of clotting and its function, how clotting can cause problems, and finally how COVID can lead to clotting disorders.

STROKES

Before we progress, if you or a family member are having any of the following symptoms, contact your local emergency services immediately. Strokes can be devastating, and treatment needs to be given as soon as possible to save as much of the brain as we can. Early recognition can be the difference between manageable long term effects and crippling disability.

Remember, act F.A.S.T

Facial Droop on one side
Arm or hand on one side feels numb or weak with reduced power (same in one leg)
Slurred speech making it difficult to understand
Time to phone an ambulance

Other symptoms can include sudden loss in balance, sudden loss in vision in one eye, problems swallowing, and more.

PLUGGING A HOLE

We have an intricate network of vessels to transport oxygen, nutrients, and signals to cells and organs across our bodies. Damage to these blood vessels causes blood loss, reduction in oxygen and nutrient delivery to these cells, and organ damage if the issue isn’t rectified. Failure in multiple organ systems across the body will eventually lead to death. Our blood has cells and proteins that work together to form a clot at the site of injury. This acts as a plug to physically stop the leak, but also encourages repair of the blood vessel and surrounding tissue.

A clot can be triggered in three different ways: blood stasis (pooling up in one area), exposure of blood vessel lining, and pro-coagulant factors released into the blood. When triggered a coagulation cascade occurs to form the building blocks of a clot – it works so well that even a small trigger can create a response big enough to repair the damage. These form a mesh trapping platelets and other blood cells into a plug. Immune cells also arrive to destroy any organisms that might enter from the trauma site that caused the injury, and these immune cells also instruct nearby cells to begin the repair process.

As with everything in our body the whole process is very tightly regulated. The cascade has triggers and accelerators, but it also has brakes. These brakes stop a clot from growing too big, or from clots forming spontaneously when they are not needed. They also help dissolve a clot once the vessel is repaired and it isn’t needed.

WHEN IT GOES WRONG

Heart attacks and strokes. These devastating cardiovascular diseases are well recognized by the public as a leading cause of disability and death. Both can be caused by abnormal clotting. How does our finely tuned clotting cascade turn abnormal? Let's go back to the three triggers of blood clotting.

Vessel damage: Eating a high fat and cholesterol diet can cause fatty plaques to build up in our arteries. This is known as atherosclerosis, and it is extremely common. The plaques can narrow your arteries and reduce blood flow. If this happens in your coronary arteries supplying your heart muscles, your heart might not receive enough oxygen when you exercise or exert yourself. This can cause chest pain, known as angina.

If the plaques burst open it can expose the vessel lining, causing a large clot to form. This clot can become dislodged and be carried away by the blood. It will eventually get lodged in a narrow artery, blocking it and stopping blood from entering. The tissue and cells supplied by that artery will not receive oxygen and eventually die. If this happens in the coronary arteries it can cause a heart attack. In the arteries supplying the brain, it can cause a stroke, leading to neurological deficits.

THIS IS THE MOST IMPORTANT LEARNING POINT, and this is why a healthy diet low in fat and sugars is so important.

Stasis: Our heart pumps blood at high pressures through the arteries. But in the veins, there is very little pressure to drive the blood back to the heart. In our arms and head, gravity helps blood flow down to the heart. But from our legs? When we walk the muscles in our legs squeeze the veins and move the blood. Valves make sure this flow is only one way, back to the heart.

If we sit or lie down in one place and don’t move, the blood isn’t pumped back and pools up in our legs, causing a clot to form. This usually happens in our calves (known as a DEEP VEIN THROMBOSIS, or DVT). The calf becomes swollen, painful, red, and hot. If this clot is dislodged, it can end up in our lungs causing a PULMONARY EMBOLISM. A large PE can block blood from entering the lungs and can be fatal. This is why you should take regular walks on long haul flights, to prevent blood from pooling.

Pro-coagulant: Sometimes the factors in our blood responsible for triggering a clot can be triggered accidentally. Cigarette smoke contains many toxins and harmful chemicals that, when inhaled, end up in your blood. These chemicals can cause damage to vessel linings, and also cause the clotting cascade to be triggered more easily. Some medications, such as the Combined Oral Contraceptive Pill, also have a similar effect, though the risk of getting a clot is still very low.

The immune system can also trigger a clot. The protein mesh formed in the blood can also capture bacteria and viruses around an infection site, making it easier for immune cells to find and destroy these invading organisms. In cancer patients, this process is sometimes triggered by unregulated cancer cells.

WHAT HAVE WE LEARNT?

Our clotting system stops us from bleeding to death from a small wound. People who have bleeding disorders are clear examples and need to be extremely careful if they injure themselves. But unregulated, our body can end up harming itself. If there is one thing you should take away from this, it is that a high sugar/high-fat diet with little exercise can directly increase your risk of having a heart attack or stroke. This is why doctors emphasize so much the importance of a good diet and exercise.

In our next blog, we will look at how this clotting problem is implicated in COVID patients.

Dr Rajan Choudhary, UK, Chief Product Officer, Second Medic Inc

www.secondmedic.com

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Healthcare Predictive Analytics India: The Future of Data-Driven Preventive Health

Indian healthcare is experiencing a major transformation as data analytics and artificial intelligence become integral to medical decision-making. Healthcare predictive analytics uses advanced algorithms to analyze medical data, lifestyle patterns, and population health trends to identify risks long before symptoms appear. This shift toward prediction rather than reaction is helping India build a stronger, more preventive healthcare ecosystem.

Predictive analytics supports early diagnosis, reduces medical complications, improves treatment outcomes, and lowers healthcare costs. As India faces rising chronic diseases, urban lifestyle pressures, and limited specialist availability, predictive healthcare has become essential for timely and accurate care. SecondMedic integrates predictive analytics into its digital health platform, enabling individuals and clinicians to make proactive health decisions.

Why Predictive Analytics Matters in India’s Healthcare Landscape

India has one of the highest global burdens of chronic diseases. According to ICMR, non-communicable diseases account for over 60 percent of total deaths in the country. Many of these illnesses develop silently, making early detection difficult without advanced tools.

Predictive analytics helps change this by identifying patterns and generating early risk signals. Key factors driving its adoption include:

Growth of digital medical records
Widespread use of wearables and health trackers
Increased testing and diagnostic data availability
Government-supported digital health initiatives
Higher patient expectations for personalized care

With these enablers in place, predictive analytics is moving from research to everyday clinical use.

How Predictive Analytics Works in Healthcare

Predictive analytics draws from a wide range of data sources to generate meaningful insights. These insights help forecast risks, detect abnormalities, and recommend preventive actions.

Data sources used include:

Electronic medical records
Lab test results
Vital signs and biometric data
Wearable device data
Lifestyle and nutrition patterns
Family and genetic factors
Population health statistics

AI algorithms analyze this data to identify trends that may indicate early risk.

Early Disease Detection Through Predictive Models

One of the most valuable applications of predictive analytics is early detection. Many chronic diseases show minor biological changes long before symptoms appear. Predictive models can analyze these subtle indicators and alert patients and doctors early.

Predictive analytics can help detect:

Diabetes risk and prediabetes
Hypertension and cardiovascular risk
Thyroid dysfunction
Chronic kidney disease
Mental health patterns
Sleep disorders
Respiratory illness likelihood

SecondMedic’s predictive tools evaluate these risk markers and create personalized alerts.

Predictive Analytics for Chronic Disease Management

Chronic conditions require ongoing care, monitoring, and timely intervention. Predictive analytics enhances chronic disease management by identifying when a condition may worsen or require immediate attention.

Predictive tools help with:

Monitoring health trends continuously
Detecting early warning signs
Reducing emergency hospitalizations
Recommending medication adjustments
Forecasting disease progression
Tracking lifestyle impact

SecondMedic integrates these insights with remote monitoring devices to support long-term chronic care.

Personalized Preventive Care Using Predictive Models

Preventive care becomes more precise with predictive analytics. Instead of generalized recommendations, individuals receive personalized plans based on their specific risks and lifestyle patterns.

Predictive analytics supports personalized care by:

Creating customized screening schedules
Suggesting targeted lifestyle improvements
Recommending personalized diet and exercise routines
Providing sleep and stress insights
Helping individuals avoid long-term complications

SecondMedic uses these data-backed insights to deliver tailored preventive plans for each user.

AI-Driven Risk Scoring and Health Forecasting

AI risk scoring is a core part of predictive healthcare. These scores reflect a person’s likelihood of developing certain conditions within a specific timeframe. They help users understand their health trajectory and take necessary steps early.

Risk scores are generated using:

Blood tests
Vitals
Daily activity patterns
Family health history
Behavioral trends
Environmental factors

SecondMedic offers AI-based risk scores that help individuals track their health over time and make informed decisions.

Predictive Analytics for Mental Health and Lifestyle Patterns

Predictive analytics is increasingly used to understand mental health indicators such as stress, burnout, depression risk, or sleep disturbances. Wearables and digital behavior analysis provide a large amount of data for predicting emotional wellbeing.

Predictive models can analyze:

Sleep patterns
Heart rate variability
Stress markers
Digital behavior patterns
Lifestyle routines

SecondMedic integrates these insights into its wellness programs to support mental and emotional wellbeing.

Improving Population Health with Predictive Analytics

Predictive analytics is not limited to individual care. It also plays a critical role in public health planning. By identifying disease clusters, risk trends, and healthcare needs, predictive models help governments and hospitals prepare better.

Population-level benefits include:

Identifying outbreaks early
Predicting disease burden
Allocating healthcare resources effectively
Planning community health programs
Improving screening recommendations

SecondMedic works toward making population health analytics accessible to organizations and communities.

Predictive Analytics and the Future of Indian Healthcare

In the coming years, predictive analytics will be integrated into most healthcare systems and digital platforms. India is moving toward a future where early risk detection becomes standard practice.

Future trends include:

AI-driven clinical decision support
Predictive genomics
Precision nutrition and metabolism modeling
Hospital predictive workflow systems
Predictive triaging for emergency care
Integration with Ayushman Bharat Digital Mission
Nationwide predictive health screening programs

SecondMedic aims to remain at the forefront of this transformation by developing advanced predictive tools for both clinical and personal use.

Conclusion

Healthcare predictive analytics in India is reshaping how diseases are detected, managed, and prevented. By leveraging AI, big data, and continuous monitoring, predictive healthcare empowers individuals to act early and avoid complications. SecondMedic integrates these advanced tools into a unified digital health ecosystem, offering personalized risk scoring, early alerts, and precise preventive care.

To explore predictive health tools and preventive care programs, visit www.secondmedic.com

References

NITI Aayog – Artificial Intelligence in Healthcare India
ICMR – Chronic Disease Burden Report 2024
IMARC – Healthcare Analytics Market India 2025
WHO – Predictive Health Analytics Standards
FICCI – AI and Healthcare Innovation India Report

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