Literature DB >> 33043274

Status of Acute Myocardial Infarction in Southern India During COVID-19 Lockdown: A Multicentric Study.

Ramachandran Meenakshisundaram1,2, Subramanian Senthilkumaran1, Ponniah Thirumalaikolundusubramanian3, Melvin Joy4, Narendra Nath Jena5, Ramalingam Vadivelu6, Shyamsundar Ayyasamy7, V P Chandrasekaran8.   

Abstract

There has been a reduction in the reported cases of acute myocardial infarction (MI) across the globe during the outbreak of coronavirus disease 2019 (COVID-19) (severe acute respiratory distress syndrome coronavirus 2). An attempt was made to find out the number of acute MI cases treated during the COVID-19 lockdown period (April 2020) and highlight the possible reasons for the changes in the occurrence. A multicentric retrospective observational study was performed to collect the selected data from 12 private hospitals distributed in 4 cities-Madurai, Trichy (Thiruchirapalli), Erode, and Salem-of the Tamil Nadu state in southern India. There was a significant (P<.001) reduction in ST-segment elevation MI (STEMI), non-STEMI (NSTEMI), and total (STEMI and NSTEMI together) cases during the lockdown period (April 1 to 30, 2020) as compared with no-lockdown periods such as January and February 2020 and April 2019 and April 2018 in all cities, whereas the reduction was not significant for NSTEMI in Trichy when data for the lockdown period was compared with those for January and February 2020. Overall, there is a reduction in acute MI cases, which may be due to alterations in modifiable risk factors during the COVID-19 lockdown period. Hence, implementation of public education and polices on controlling modifiable risk factors is likely to pay dividends.
© 2020 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc.

Entities:  

Keywords:  COVID-19, coronavirus disease 2019; MI, myocardial infarction; NSTEMI, non–ST-segment elevation myocardial infarction; STEMI, ST-segment elevation myocardial infarction

Year:  2020        PMID: 33043274      PMCID: PMC7538110          DOI: 10.1016/j.mayocpiqo.2020.06.010

Source DB:  PubMed          Journal:  Mayo Clin Proc Innov Qual Outcomes        ISSN: 2542-4548


Because of the coronavirus disease 2019 (COVID-19) (severe acute respiratory syndrome coronavirus 2) pandemic, strict social containment measures were promoted in the form of lockdown in most of the countries. Although the health system is overwhelmed with COVID-19 cases across the globe, a change in the hospital admission pattern during the lockdown period has been reported.1, 2, 3, 4 The Government of India imposed a nationwide strict lockdown from March 25, 2020, with a nationwide curfew on March 22, 2020. Hence, the present study was conducted to find out the number of acute myocardial infarction (MI) cases, which included ST-segment elevation MI (STEMI) and non-STEMI (NSTEMI) cases, treated during the lockdown period, to compare these cases with those in other months of 2020 before the lockdown as well as with those in the same month of previous years (2018 and 2019), and to highlight the possible reasons for these variations.

Patients and Methods

We conducted a multicentric retrospective observational study across 12 private hospitals, which followed similar methods to collect the clinical data and adhere to Good Clinical Practice in the management of acute MI. These hospitals were located in different cities, namely, Madurai, Trichy (Thiruchirapalli), Erode, and Salem in the state of Tamil Nadu in southern India. The data on age, sex, and the category of acute MI (STEMI and NSTEMI) were collected from the records for January, February, and April 2020 as well as for April 2019 and April 2018. These data were classified as lockdown period (April 2020) and no-lockdown period (January and February 2020 and April 2019 and April 2018). Apart from that, the total number of cases presented to the emergency department of the respective hospitals was collected for the same period. The number of STEMI, NSTEMI, and total (STEMI and NSTEMI) cases treated during the COVID-19 lockdown period (April 2020) was compared with similar cases treated in the no-lockdown period by using the chi-square test. The 95% CI for the difference in proportion was calculated for each. A P value less than .05 was considered statistically significant. The statistical analysis was performed using R software version 4.0.0 (The R Foundation). Data for March 2020 were not considered, as they were a mixture for both no-lockdown and lockdown periods.

Results

The median age of patients admitted during the lockdown and no-lockdown periods was 58 and 53 years, respectively. The sex ratio of male and female was 7:2, and there was no significant difference among them. Details of city-wise cases of acute MI and emergency department attendance are given in Table 1. The overall number of STEMI, NSTEMI, and total (STEMI and NSTEMI) cases treated during the COVID-19 lockdown period (April 2020) was compared with similar cases treated during the no-lockdown period of January and February 2020 and April 2019 and April 2018 independently of each. It was observed that cases treated during the COVID-19 lockdown period were significantly (P<.001) lower than those treated during the no-lockdown period irrespective of the months. The proportion of cases, P value, and 95% CI for the difference in proportion for STEMI, NSTEMI, and total (STEMI and NSTEMI) cases for each city and overall (all cities together) were calculated. The statistical data on acute MI cases treated during the COVID-19 lockdown and no-lockdown periods (city-wise and overall) are given in Table 2. The subanalysis for each city individually for STEMI, NSTEMI, and total cases treated during the COVID-19 lockdown period (April 2020) was significantly (P<.001) lower in Madurai, Erode, and Salem than that during the no-lockdown period. For Trichy, a significant reduction (P<.001) was noticed for STEMI and total cases during the lockdown period compared with the no-lockdown period whereas for NSTEMI cases the reduction was significant for only April 2020 compared with April 2019 and April 2018. When the NSTEMI data for April 2020 were compared with those for January and February 2020, the P value (95% CI) and difference in proportion were 0.153 (0.01 to 0.08) and 0.03 and 1.00 (0.04 to 0.04) and 0.002, respectively. Furthermore, when the statistical analysis was performed with pooled data for all cities for STEMI, NSTEMI, and total, there was a significant reduction in these cases (Table 2). The difference in proportion of acute MI cases treated during the COVID-19 lockdown and no-lockdown periods for each city is depicted in the Figure.
Table 1

City-wise Cases of Acute Myocardial Infarction and Emergency Department Attendance

Name of the cityNo. of hospital(s)Lockdown period
No-lockdown period
2020
Apr 2019
Apr 2018
Apr 2020
Feb
Jan
SNETSNETSNETSNETSNET
Madurai2638114161552032214205239278624323927392382072088
Trichy11634385554347887594891037143810057417
Erode4183976511478638178112694180110687191106701
Salem5242986512180738179103732189127810200110798
Total1212118334314454044068649513470171554746747294804004

ET = total number of patients attended the emergency department; N = non– ST-segment elevation myocardial infarction; S = ST-segment elevation myocardial infarction.

Table 2

Statistical Data on Acute Myocardial Infarction Cases Treated During COVID-19 Lockdown and No-Lockdown Periods (City-wise and Overall)

VariableCity nameSTEMI
NSTEMI
Total (STEMI and NSTEMI)
p1p295% CIP valuep1p295% CIP valuep1p295% CIP value
STEMI (Apr 2020 vs Feb 2020)Madurai0.040.070.01-0.04.0020.060.090.02-0.05<.0010.100.160.04-0.08<.001
STEMI (Apr 2020 vs Jan 2020)0.040.070.01-0.04<.0010.060.090.01-0.05.0010.100.160.04-0.08<.001
STEMI (Apr 2020 vs Apr 2019)0.040.090.03-0.06<.0010.060.090.01-0.05.0010.100.180.05-0.10<.001
STEMI (Apr 2020 vs Apr 2018)0.040.110.05-0.09<.0010.060.100.02-0.06<.0010.100.210.09-0.14<.001
STEMI (Apr 2020 vs Feb 2020)Trichy0.040.120.04-0.11<.0010.090.090.04-0.041.0000.130.210.02-0.13.005
STEMI (Apr 2020 vs Jan 2020)0.040.180.09-0.18<.0010.090.120.01-0.08.1530.130.300.11-0.22<.001
STEMI (Apr 2020 vs Apr 2019)0.040.240.15-0.24<.0010.090.160.03-0.12.0020.130.400.21-0.33<.001
STEMI (Apr 2020 vs Apr 2018)0.040.240.15-0.25<.0010.090.140.002-0.09.0410.130.380.19-0.31<.001
STEMI (Apr 2020 vs Feb 2020)Erode0.020.180.12-0.19<.0010.050.120.04-0.10<0.0010.070.300.18-0.27<.001
STEMI (Apr 2020 vs Jan 2020)0.020.260.20-0.27<.0010.050.160.08-0.14<.0010.070.420.30-0.39<.001
STEMI (Apr 2020 vs Apr 2019)0.020.260.20-0.27<.0010.050.160.08-0.14<.0010.070.420.30-0.39<.001
STEMI (Apr 2020 vs Apr 2018)0.020.270.21-0.28<.0010.050.150.07-0.13<.0010.070.420.31-0.39<.001
STEMI (Apr 2020 vs Feb 2020)Salem0.030.160.11-0.17<.0010.030.110.05-0.10<.0010.060.270.17-0.25<.001
STEMI (Apr 2020 vs Jan 2020)0.030.240.18-0.25<.0010.030.140.08-0.14<.0010.060.390.28-0.36<.001
STEMI (Apr 2020 vs Apr 2019)0.030.230.17-0.24<.0010.030.160.09-0.15<.0010.060.390.29-0.37<.001
STEMI (Apr 2020 vs Apr 2018)0.030.250.19-0.26<.0010.030.140.08-0.13<.0010.060.390.29-0.37<.001
STEMI (Apr 2020 vs Feb 2020)Overall0.040.110.06-0.09<.0010.050.100.03-0.06<.0010.090.210.10-0.14<.001
STEMI (Apr 2020 vs Jan 2020)0.040.140.09-0.11<.0010.050.110.04-0.07<.0010.090.250.14-0.17<.001
STEMI (Apr 2020 vs Apr 2019)0.040.150.11-0.13<.0010.050.120.05-0.08<.0010.090.270.17-0.20<.001
STEMI (Apr 2020 vs Apr 2018)0.040.180.13-0.16<.0010.050.120.05-0.08<.0010.090.300.20-0.23<.001

COVID-19 = coronavirus disease 2019; NSTEMI = non–ST-segment elevation myocardial infarction; Overall = all cities together; p1 = proportion of cases treated during the COVID-19 lockdown period; p2 = proportion of cases treated in the no-lockdown period; STEMI = ST-segment elevation myocardial infarction; CI = confidence interval; Apr = April; Feb = February; Jan = January.

Figure

Difference in the proportion of acute myocardial infarction cases treated during the COVID-19 lockdown and no-lockdown periods for each city. The x-axis depicts diagnosis with period, and the y-axis denotes the difference in proportion. 1 = April 2020 vs February 2020; 2 = April 2020 vs January 2020; 3 = April 2020 vs April 2019; 4 = April 2020 vs April 2018; COVID-19 = coronavirus disease 2019; N = non–ST-segment elevation myocardial infarction; S = ST-segment elevation myocardial infarction; T = total (ST-segment elevation myocardial infarction and non–ST-segment elevation myocardial infarction).

City-wise Cases of Acute Myocardial Infarction and Emergency Department Attendance ET = total number of patients attended the emergency department; N = non– ST-segment elevation myocardial infarction; S = ST-segment elevation myocardial infarction. Statistical Data on Acute Myocardial Infarction Cases Treated During COVID-19 Lockdown and No-Lockdown Periods (City-wise and Overall) COVID-19 = coronavirus disease 2019; NSTEMI = non–ST-segment elevation myocardial infarction; Overall = all cities together; p1 = proportion of cases treated during the COVID-19 lockdown period; p2 = proportion of cases treated in the no-lockdown period; STEMI = ST-segment elevation myocardial infarction; CI = confidence interval; Apr = April; Feb = February; Jan = January. Difference in the proportion of acute myocardial infarction cases treated during the COVID-19 lockdown and no-lockdown periods for each city. The x-axis depicts diagnosis with period, and the y-axis denotes the difference in proportion. 1 = April 2020 vs February 2020; 2 = April 2020 vs January 2020; 3 = April 2020 vs April 2019; 4 = April 2020 vs April 2018; COVID-19 = coronavirus disease 2019; N = non–ST-segment elevation myocardial infarction; S = ST-segment elevation myocardial infarction; T = total (ST-segment elevation myocardial infarction and non–ST-segment elevation myocardial infarction).

Discussion

Cardiovascular disease is the major cause of mortality and morbidity across the globe. Although the burden of cardiovascular disease has declined in some regions, overall there was no change globally as reported in a multicentric prospective cohort study over the period from 1990 to 2015. Risk factors for cardiovascular disease are already well known. Extreme temperature, change in weather condition, and air pollution have been found to be associated with an increased risk of MI.7, 8, 9 The toxic effect of pollutants has been found to be higher during summer, thereby increasing the risk of cardiopulmonary diseases., In Tamil Nadu, this study was conducted in the month of April, which is summer with daytime temperature generally above 30°C and nighttime temperature going down up to 25°C. During the COVID-19 lockdown period, cases of injuries, infections, illnesses related to behavior, and so on, have reduced in private and government hospitals in the state of Tamil Nadu. In this study, we are limiting to acute MI only. From Table 1, it is clear that the number of cases treated for acute MI was almost consistent during the no-lockdown period of 2020 (January and February) as well as April 2019 and April 2018, whereas it was significantly lower in all the cities during the lockdown period. A similar significant reduction in MI admissions during the lockdown period was noted in recent publications.1, 2, 3, 4 Although the reasons remain unclear, we attribute various factors such as unwillingness to visit hospital owing to fear of COVID-19 infection,; reduced noise and air pollution,, reduction in occupational stress in the susceptible population, and avoidance of travel; least or no exposure to tobacco smoke, alcohol, pollution, and junk foods; adherence to relaxation and recreation via audiovisual means, integration with family members, engaging in activities of interest, long hours of sleep, and practicing exercise, yoga, and meditation; limiting to homemade food items, adoption to healthy lifestyle, and overall less physical and mental strain. Moreover, during the lockdown, the pollution index has significantly decreased in India and many other nations, which has a direct relationship with MI. In summary, the reduction in the number of cases of acute MI during the lockdown period may be due to alterations in modifiable risk factors. Hence, implementation of public education and policies on controlling modifiable risk factors will pay dividends. However, we do not have a city-based registry for acute MI at the moment to state confidently on population-based MI or out-of-hospital deaths due to MI or missed MI due to avoidance of hospital by the public during this COVID-19 pandemic., More studies from different cities are warranted to ascertain the changing epidemiology of illnesses during the pandemic and find out the health advantages of containment activities. During World War II, there was a dramatic reduction in mortality from vascular diseases, which suggested a link for the low occurrence of certain diseases in extraordinary situations such as health crisis or war. It is the time for the physicians to act in concert with clinical equipoise and find out the reasons for the change in the epidemiology of various illnesses during the COVID-19 outbreak in an unprejudiced manner. These new findings likely pave ways for the prevention of illnesses and find out new methods toward the promotion of health. Also, it is mandatory to educate the public to seek medical attention for worrying symptoms and encourage them for adherence to safety precautions for COVID-19. As the fear of COVID-19 is a major deterrent for emergency visits, hospitals shall develop community-minded communications to provide risk-free and reassuring environment for patients. The limitations of the study are retrospective and confining to a few selected centers located in a few cities.

Conclusion

The number of acute myocardial infarction cases was decreased during COVID-19 lockdown in our study population, as noted elsewhere. There are many reasons for the change in occurence including patient's deferral to seek medical attention because of fear of the infection of COVID-19. Hence, mandatory public health education and reassurance are required to prevent mortality from life-threatening illness. In addition, promotion of tele or virtual health consultation is required during such crisis. Also, reduction in the environmental risk factors may be a reason for the reduced occurence of MI and hence, policies on the environmental health are regulated and monitored periodically.
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