The cardiac autonomic function is normal and the autonomic reflex arc seems to be intact in the patients with fibromyalgia.

This review imparts an impressionistic tone to our current understanding of autonomic nervous system abnormalities in fibromyalgia. In the wake of symptoms present in patients with fibromyalgia (FM), autonomic dysfunction seems plausible in fibromyalgia. A popular notion is that of a relentless sympathetic hyperactivity and hyporeactivity based on heart rate variability (HRV) analyses and responses to various physiological stimuli. However, some exactly opposite findings suggesting normal/hypersympathetic reactivity in patients with fibromyalgia do exist. This heterogeneous picture along with multiple comorbidities accounts for the quantitative and qualitative differences in the degree of dysautonomia present in patients with FM. We contend that HRV changes in fibromyalgia may not actually represent increased cardiac sympathetic tone. Normal muscle sympathetic nerve activity (MSNA) and normal autonomic reactivity tests in patients with fibromyalgia suggest defective vascular end organ in fibromyalgia. Previously, we proposed a model linking deconditioning with physical inactivity resulting from widespread pain in patients with fibromyalgia. Deconditioning also modulates the autonomic nervous system (high sympathetic tone and a low parasympathetic tone). A high peripheral sympathetic tone causes regional ischaemia, which in turn results in widespread pain. Thus, vascular dysregulation and hypoperfusion in patients with FM give rise to ischaemic pain leading to physical inactivity. Microvascular abnormalities are also found in patients with FM. Therapeutic interventions (e.g. exercise) that result in vasodilatation and favourable autonomic alterations have proven to be effective. In this review, we focus on the vascular end organ in patients with fibromyalgia in particular and its modulation by exercise in general.

Amitriptyline therapy (10mg for 3 months) increases blood flow to the affected sites. It does not affect autonomic tone and reactivity in the patients with fibromyalgia.

Background With the looming threat of recurrent waves of COVID-19 in the presence of mutated strains, its of paramount importance to understand the demographic and clinical attributes of COVID-19 related mortalities in each pandemic waves. This could help policy makers, public health experts, and clinicians to better plan preventive and management strategies to curb COVID-19 related mortality. Method This was a hospital record based, retrospective cross-sectional descriptive study, at a tertiary care hospital in Rishikesh, India. The study included all deceased patients between March 2020 and January 2021 (first wave) who tested positive for SARS-CoV-2 by RT-PCR and were hospitalized. The study was done to describe demography, clinical presentation, laboratory parameters, treatment given and associated complications of all COVID-19 deaths. Result Out of 424 mortalities, 298 (70.38%) were males and 126 (29.62%) were females. Mean age of patients was 55.85 (SD=16.24 years), out of which 19.5 percent were less than 45 years old, 33.6 percent were 45 to 60 years old and 41.8% were more than 60 years old. Comorbidity in the form of type 2 diabetes mellitus was present in 41.4% [95% CI (41.4-51.1)], hypertension in 39.8% [95% CI (35.1-44.6)], and coronary artery disease in 15.2% [95% CI (11.8-18.8)]. At the time of presentation, shortness of breath was present in 73.6% [95% CI (69.1-77.7)], fever in 64.92% [95% CI (60.1-69.4)], and cough in 46.1%, [95% CI (41.1-50.8)]. Deranged laboratory parameters were lymphopenia in 90.2% [95% CI (86.8-92.7)], transaminitis in 59.7% [95% CI (54.8-64.3)], and hypercreatinemia in 37.7% [95% CI (33.1-42.5)]. Complications manifested were acute respiratory distress syndrome in 78.3% [95% CI (74-82.1)] and shock in 54.7% [95% CI (49.8-59.5)]. Median time duration between onset of symptom and hospital admission was 5 days (IQR = 3-5 days) and median length of hospital stay was 9 days (IQR = 4-14 days). Conclusion During first pandemic wave, COVID-19 related mortality was 2.37 times higher among males, 2.14 times in age group >60 than <45 years. Most common associated comorbidities (>40%) were type 2 diabetes mellitus and hypertension. Most common associated symptoms (>60%) were shortness of breath and fever. Lymphopenia was seen in >90% cases while liver involvement in 60% and kidney in 38% cases. Median hospital stay was doubled the pre-hospital illness.

A bstract Background With the looming threat of recurrent waves of coronavirus disease-2019 (COVID-19) in the presence of mutated strains, it is of paramount importance to understand the demographic and clinical attributes of COVID-19 related mortalities in each pandemic wave. This could help policy makers, public health experts, and clinicians to better plan preventive and management strategies to curb COVID-19 related mortality. Materials and methods This was a hospital record-based, retrospective cross-sectional descriptive study, at a tertiary care hospital in Rishikesh, India. The study included all deceased patients between March 2020 and January 2021 (first wave) who had tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by reverse transcription polymerase chain reaction (RT-PCR) and were hospitalized. The study was done to describe demography, clinical presentation, laboratory parameters, treatment given, and associated complications of all COVID-19 deaths. Result Out of 424 mortalities, 298 (70.38%) were males and 126 (29.62%) were females. Mean age of patients was 55.85 ± 16.24 years, out of which 19.5% were less than 45 years old, 33.6% were 45–60 years old, and 41.8% were more than 60 years old. Comorbidity in the form of type II diabetes mellitus was present in 41.4% [95% CI (41.4–51.1)], hypertension in 39.8% [95% CI (35.1–44.6)], and coronary artery disease (CAD) in 15.2% [95% CI (11.8–18.8)]. At the time of presentation, shortness of breath was present in 73.6% [95% CI (69.1–77.7)], fever in 64.92% [95% CI (60.1–69.4)], and cough in 46.1%, [95% CI (41.1–50.8)]. Deranged laboratory parameters were lymphopenia in 90.2% [95% CI (86.8–92.7)], transaminitis in 59.7% [95% CI (54.8–64.3)], and hypercreatinemia in 37.7% [95% CI (33.1–42.5)]. Complications manifested were acute respiratory distress syndrome (ARDS) in 78.3% [95% CI (74–82.1)] and shock in 54.7% [95% CI (49.8–59.5)]. Median time duration between onset of symptom and hospital admission was 5 days (interquartile range (IQR) = 3–5 days) and median length of hospital stay was 9 days (IQR = 4–14 days). Conclusion During the first pandemic wave, COVID-19 related mortality was 2.37 times higher among males, 2.14 times in the age group >60 than <45 years. The most common associated comorbidities (>40%) were type II diabetes mellitus and hypertension. The most common associated symptoms (>60%) were shortness of breath and fever. Lymphopenia was seen in >90% cases while liver involvement in 60% and kidney in 38% cases. Median hospital stay was doubled the prehospital illness. How to cite this article Tendulkar P, Pandey P, Panda PK, Bhadoria AS, Kulshreshtha P. Descriptive Epidemiology of COVID-19 Deaths during the First Wave of Pandemic in India: A Single-center Experience. Indian J Crit Care Med 2022;26(1):71–75.

IntroductionDue to the nature of the coronavirus disease 2019 (COVID-19) pandemic, final year medical undergraduate students have had to be involved in patient management in different countries. The same was the case with India. This study was conducted with the objective to analyze the effectiveness and efficiency of preparedness training to combat COVID-19 in pre-final and final-year medical students at a tertiary care institute in North India. MethodsA pre-post study was conducted among final and pre-final year medical undergraduate students. Data was collected as pre-test and post-test multiple-choice questions (MCQs) and clinical vignettes. ResultsA total of 179 medical undergraduate students attended the training. Scores on general instructions, personal protective equipment (PPE) donning and doffing, hand hygiene, biomedical waste management, contact tracing, cleaning and disinfection, ECG, and COVID-19 management improved significantly after the training. Pre-test scores on ECG, simulation, COVID-19 management were 21.58±5.311, 17.05±4.501, and 23.84±4.067, respectively. Post-test scores on ECG, simulation, COVID-19 management were 28.01±6.826, 23.84±4.067, and 6.93±1.726, respectively. Pre-test and post-test scores were statistically significant (p=0.0001). DiscussionOur preparedness training program was effective in delivering the intended skills. The efficiency of the training program was demonstrated through simulation. We created a trained pool of medical undergraduate students to assist clinicians in COVID-19-related supportive care.

BackgroundThe severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is continuously evolving and many mutant variants of the virus are circulating in the world. Recurrent waves of COVID-19 have caused enormous mortality all over the world. It is of utmost importance for a health expert to understand the demographic and clinical attributes between the first and second waves of COVID-19 induced deaths.MethodThis was a hospital record based comparative study of baseline demographic, clinical and laboratory parameters of the first and second wave of COVID-19 in a tertiary care hospital in Uttarakhand, India. The study included all deceased patients admitted to the hospital during the first and second wave of COVID-19, i.e., between March 2020 to January 2021 and between March 2021 to June 2021, respectively.ResultThe study showed that there were more casualties in the second wave compared to the first, 475 (19.8%) and 424 (24.1%) respectively. There was no significant difference in terms of age. A male preponderance of mortality was evident in both the waves. The median duration of hospital stay was 5 (3-10) days in the second wave, which is significantly different from the corresponding duration in first wave (p<o.ooo). The most common clinical manifestation among the deceased were dyspnoea in both the waves, followed by fever and cough, the difference was statistically significant for cough (p< 0.000) The most prevalent comorbidity was diabetes mellitus (DM), followed by hypertension (HTN), with significant difference for HTN (p<0.003). The most frequently deranged lab parameter was lymphopenia with a significant difference across both the waves (p<0.000).ConclusionIn both the first and second COVID-19 waves, older males (>45 years) with comorbidities like HTN and DM were most susceptible for COVID-19 related mortality. The study also demonstrated that most of the baseline demographic and clinical characteristics which are attributed to the mortality were more common during the second wave of COVID-19.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is continuously evolving, and many mutant variants of the virus are circulating in the world. Recurrent waves of COVID-19 have caused enormous mortality all across the globe. Considering the novelty of the virus, it becomes crucial for healthcare experts and policymakers to understand the demographic and clinical attributes of inpatient deaths in the first and second waves of COVID-19. MethodsThis hospital record-based comparative study was conducted at a tertiary care hospital in Uttarakhand, India. The study included all COVID-19 RT PCR-positive patients admitted to the hospital during the first wave, from 1 st April 2020 to 31 st January 2021, and the second wave from 1 st March 2021 to 30 th June 2021. Comparisons were made with respect to demographic, clinical, laboratory parameters, and course of hospital stay. ResultsThe study exhibited 11.34% more casualties in the second wave, with the number of deaths being 424 and 475 for the first and second waves, respectively. A male preponderance of mortality was evident in both waves with significant differences (p=0.004). There was no significant difference in age between the two waves (p=0.809). The significantly different comorbidities were hypertension (p=0.003) and coronary artery disease (p=0.014). The clinical manifestations demonstrating a significant difference were cough (p=0.000), sore throat (p=0.002), altered mental status (p=0.002), headache (p=0.025), loss of taste and smell (p=0.001), and tachypnea (p=0.000). The lab parameters with a significant difference across both waves were lymphopenia (p=0.000), elevated aspartate aminotransferase (p=0.004), leukocytosis (p=0.008), and thrombocytopenia (p=0.004). During the hospital course of the second wave, in terms of intensive care unit stay, the need for non-invasive ventilation and inotrope support was higher. The complications manifesting in the form of acute respiratory distress syndrome and sepsis were observed more in the second wave. A significant difference was discerned in the median duration of hospital stay in both waves (p=0.000). ConclusionDespite being of shorter duration, the second wave of COVID-19 culminated in more deaths. The study demonstrated that most of the baseline demographic and clinical characteristics attributed to mortality were more common during the second wave of COVID-19, including lab parameters, complications, and duration of hospital stays. The unpredictable nature of COVID-19 waves calls for instituting a well-planned surveillance mechanism in place to identify the surge in cases at the earliest possible time and prompt response, along with developing infrastructure and capacity to manage complications.