Pakistan reports uptick in coronavirus cases, no fatality
NIH data shows positivity ratio rises to 0.55%: US study says risk of blood clots in lung doubled for Covid survivors
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Pakistan has reported another uptick in coronavirus cases as the country registered 92 fresh coronavirus cases and no fatality during the last 24 hours (Tuesday), showed the statistics released by the National Institute of Health Pakistan on Wednesday morning.
As per the latest NIH data, the death toll remained the same at 30,379, whereas the number of total infections now stood at 1,529,990 after adding the fresh 92 cases.
During the last 24 hours (Tuesday), 16,800 tests were conducted throughout Pakistan whereas the positivity ratio rose to 0.55 percent. The number of patients in critical care was recorded at 86.
COVID-19 Statistics 25 May 2022— NIH Pakistan (@NIH_Pakistan) May 25, 2022
Total Tests in Last 24 Hours: 16,800
Positive Cases: 92
Positivity %: 0.55%
Patients on Critical Care: 86
During the last 24 hours (Tuesday), another 52 people recovered from the Covid-19 and the number of total recoveries now stood at 1,496,223. As of Wednesday, the total count of active cases in the country was recorded at 3,388.
As many as 577,371 coronavirus cases have so far been confirmed in Sindh, 507,033 in Punjab, 219,648 in Khyber Pakhtunkhwa, 135,364 in Islamabad, 35,498 in Balochistan, 43,328 in Azad Kashmir and 11,748 in Gilgit-Baltistan.
As many as 13,564 individuals have lost their lives to the pandemic in Punjab so far, 8,106 in Sindh, 6,324 in KP, 1,024 in Islamabad, 792 in Azad Kashmir, 378 in Balochistan and 191 in Gilgit Baltistan.
Risk of blood clots in lung doubled for Covid survivors: US study
Coronavirus survivors have twice the risk of developing dangerous blood clots that travel to their lungs compared to people who weren't infected, as well double the chance of respiratory symptoms, a large new study said Tuesday.
The research by the Centers for Disease Control and Prevention found that as many as one in five adults aged 18-64 years and one in four of those over 65 went on to experience health conditions that could be related to their bout of Covid -- a finding consistent with other research.
Among all conditions, the risk of developing acute pulmonary embolism -- a clot in an artery of the lung -- increased the most, by a factor of two in both adults younger and older than 65, as did respiratory symptoms like a chronic cough or shortness of breath.
Pulmonary embolisms usually travel to the lungs from a deep vein in the legs, and can cause serious problems, including lung damage, low oxygen levels and death.
The study was based on more than 350,000 patient records of people who had Covid-19 from March 2020 - November 2021, paired with 1.6 million people in a "control" group who had sought medical attention in the same month as a corresponding "case" patient, but weren't diagnosed with Covid.
The team assessed the records for the occurrence of 26 clinical conditions previously associated with long Covid.
Patients were followed one month out from the time they were first seen until they developed a subsequent condition, or until a year had passed, whichever came first.
The most common conditions in both age groups were respiratory symptoms and musculoskeletal pain.
In patients under 65, risks after Covid elevated for most types of condition, but no significant differences were observed for cerebrovascular disease, mental health conditions, or substance-related disorders.
"Covid-19 severity and illness duration can affect patients' health care needs and economic well-being," the authors wrote.
"The occurrence of incident conditions following infection might also affect a patient's ability to contribute to the workforce and might have economic consequences for survivors and their dependents," as well as placing added strain on health systems.
Limitations of the study included the fact that data on sex, race, and geographic region were not considered, nor was vaccination status. Because of the time period, the study also didn't factor in newer variants.
With inputs from AFP.