Clinical characteristics of COVID-19 patients who underwent tracheostomy and its effect on outcome: A retrospective observational study.

BACKGROUND: The exponential rise in Coronavirus disease 2019 (COVID-19) cases has resulted in an increased number of patients requiring prolonged ventilatory support and subsequent tracheostomy. With the limited availability of literature regarding the outcomes of COVID-19 patients with tracheostomy, we attempted to study the clinical characteristics and multiple parameters affecting the outcomes in these patients. AIM: To determine all-cause mortality following tracheostomy and its association with various risk factors in COVID-19 patients. METHODS: This retrospective study included 73 adult COVID-19 patients admitted to the ICU between 1 April, 2020 and 30 September, 2021 who underwent tracheostomy as a result of acute respiratory failure due to COVID-19. The data collected included demographics (age, sex), comorbidities, type of oxygen support at admission, severity of COVID-19, complications, and other parameters such as admission to tracheostomy, intubation to tracheostomy, ICU stay, hospital stay, and outcome. RESULTS: This study included 73 adult patients with an average age of 52 ± 16.67 years, of which 52% were men. The average time for admission to tracheostomy was 18.12 ± 12.98 days while intubation to tracheostomy was 11.97 ± 9 days. The mortality rate was 71.2% and 28.8% of patients were discharged alive. The mean duration of ICU and hospital stay was 25 ± 11 days and 28.21 ± 11.60 days, respectively. Greater age, severe COVID-19, mechanical ventilation, shock and acute kidney injury were associated with poor prognosis; however, early tracheostomy in intubated patients resulted in better outcomes. CONCLUSION: Patients with severe COVID-19 requiring mechanical ventilation have a poor prognosis but patients with early tracheostomy may benefit with no added risk. We recommend that the timing of tracheostomy be decided on a case-by-case basis and a well-designed randomised controlled trial should be performed to elucidate the potential benefit of early tracheostomy in such patients.

Clinicoepidemiological Features and Mortality Analysis of Deceased Patients with COVID-19 in a Tertiary Care Center.

BACKGROUND AND OBJECTIVE: A large number of studies describing the clinicoepidemiological features of coronavirus disease-2019 (COVID-19) patients are available but very few studies have documented similar features of the deceased. This study was aimed to describe the clinicoepidemiological features and the causes of mortality of COVID-19 deceased patients admitted in a dedicated COVID center in India. METHODOLOGY: This was a retrospective study done in adult deceased patients admitted in COVID ICU from April 4 to July 24, 2020. The clinical features, comorbidities, complications, and causes of mortality in these patients were analyzed. Pediatric deceased were analyzed separately. RESULTS: A total of 654 adult patients were admitted in the ICU during the study period and ICU mortality was 37.7% (247/654). Among the adult deceased, 65.9% were males with a median age of 56 years [interquartile range (IQR), 41.5-65] and 94.74% had one or more comorbidities, most common being hypertension (43.3%), diabetes mellitus (34.8%), and chronic kidney disease (20.6%). The most common presenting features in these deceased were fever (75.7%), cough (68.8%), and shortness of breath (67.6%). The mean initial sequential organ failure assessment score was 9.3 ± 4.7 and 24.2% were already intubated at the time of admission. The median duration of hospital stay was 6 days (IQR, 3-11). The most common cause of death was sepsis with multi-organ failure (55.1%) followed by severe acute respiratory distress syndrome (ARDS) (25.5%). All pediatric deceased had comorbid conditions and the most common cause of death in this group was severe ARDS. CONCLUSION: In this cohort of adult deceased, most were young males with age less than 65 years with one or more comorbidities, hypertension being the most common. Only 5% of the deceased had no comorbidities. Sepsis with multi-organ dysfunction syndrome was the most common cause of death. HOW TO CITE THIS ARTICLE: Aggarwal R, Bhatia R, Kulshrestha K, Soni KD, Viswanath R, Singh AK, et al. Clinicoepidemiological Features and Mortality Analysis of Deceased Patients with COVID-19 in a Tertiary Care Center. Indian J Crit Care Med 2021; 25(6):622-628.

Barotrauma in critically ill COVID-19 patients: a retrospective case-control study.

BACKGROUND: There is increased incidence of barotrauma in COVID-19 patients, probably due to disease pathology, oxygen therapy and coughing. We aimed to retrospectively compare the characteristics, associations and outcomes of COVID-19 patients with and without barotrauma in the intensive care unit (ICU). METHODS: All adults admitted between October 1st and December 31st 2020 in the ICUs of a COVID-19 hospital were retrospectively analysed for presence of a 'barotrauma event' (presence of at least one of pneumothorax, pneumomediastinum, subcutaneous emphysema or bronchopleural fistula). A control group was formed by matching each case to a patient belonging to the same gender and age range from the remaining patients in the cohort, i.e., those without barotrauma. Demographic details, ICU stay details, details of oxygen therapy and ventilation, and outcomes were noted and compared. RESULTS: Of 827 patients, 30 patients (3.6%) developed barotrauma events. The typical patient was middle aged (median age 55.5 years) and male (73.3%). The mortality rate was significantly higher in the barotrauma group (83.3% vs. 43.3%, P < 0.001), and odds of survival decreased by 85% if barotrauma occurred (OR 0.15; 95% CI: 0.46-0.51). Patients who developed barotrauma spent a longer time on a high-flow nasal cannula (median 6.7 vs. 1.73 days, P = 0.04), and mechanical ventilation (median 9.54 vs. 0.867 days, P < 0.001), and had a longer ICU stay (median 15.5 vs. 9 days, P = 0.014). The most common event was pneumothorax (26/30). CONCLUSIONS: Barotrauma in the COVID-19 ICU is associated with prolonged ICU stay, higher odds of mortality and longer duration spent on mechanical ventilation and a high-flow nasal cannula. Key words: barotrauma, ICU, COVID-19, mortality, pneumothorax.

Simple but Significant Modifications of High-Flow Nasal Cannula.

High-flow nasal cannula (HFNC) is one of the most commonly used devices for oxygen therapy during the coronavirus disease 2019 (COVID-19) pandemic in different hospital settings. Multiple alternative options include non-invasive and invasive ventilation. But non-invasive ventilation is very uncomfortable for patients, and weaning from invasive ventilation in a patient with lung pathology is challenging. Hence, HFNC has come up as a safe alternative that averts invasive ventilation. However, its widespread application is difficult in patients with nasal deformities. We discuss two patients, one with caudal dislocation of the nasal septum with a crooked nose and the other patient with septal hypertrophy. In both cases, invasive ventilation was deferred, and target oxygen saturation was achieved after a simple dispositive modification.

Clinical Course and Outcome of Critically Ill Obese Patients with COVID-19 Admitted in Intensive Care Unit of a Single Center: Our Experience and Review.

INTRODUCTION: Obesity has been considered as one of the independent risk factors for a severe form of coronavirus disease-2019 (COVID-19) and relationship between obesity, critical illness, and infection is still poorly understood. We herein discuss clinical course and outcome of critically ill obese patients with COVID-19 admitted to critical care unit. MATERIALS AND METHODS: We retrospectively analyzed data of critically ill obese patients hospitalized with COVID-19 over a span of 6 months. Management was guided according to the institutional protocol. Collected data included demographic parameters (age, sex, comorbidities, and body mass index (BMI)), complications, inflammatory markers (interleukin (IL)-6, Ferritin), length of mechanical ventilation, length of intensive care unit (ICU) stay, and inhospital death. RESULTS: There was no appreciable difference in terms of demographics, inflammatory markers, predictors of mortality scores, and comorbidity indices between the survivors and nonsurvivors. Among outcome analysis, there was a statistically significant difference between ventilator days between survivors and nonsurvivors (p = 0.003**). CONCLUSION: Obesity itself is a significant risk factor for severe COVID-19 infection; however, if efficiently managed and in a protocol-determined manner, it can have a favorable outcome. HOW TO CITE THIS ARTICLE: Kaur M, Aggarwal R, Ganesh V, Kumar R, Patel N, Ayub A, et al. Clinical Course and Outcome of Critically Ill Obese Patients with COVID-19 Admitted in Intensive Care Unit of a Single Center: Our Experience and Review. Indian J Crit Care Med 2021;25(12):1382-1386.

Clinical Profile and Outcome of Critically Ill COVID-19 Patients With Malignancy Admitted in Intensive Care Unit of a Tertiary COVID Center, India.

Introduction There is a dearth of literature describing the clinical profile of coronavirus disease 2019 (COVID-19) in patients with malignancy. Patients with associated malignancy can have a more severe course of the disease. The aim was to study clinical course and outcome of critically ill patients admitted in ICU with associated malignancy. Methods The study was a single-center, retrospective, study conducted at a tertiary care hospital. Patients with active or recent malignancy on follow-up and with confirmed COVID-19 infection who were admitted to the Intensive care unit of COVID-19 dedicated hospital between November 1, 2020 to January 15, 2021 were included. Demographic data, clinical features, clinical course and outcome were retrieved from the hospital electronic medical records. Results A total of 24 patients with malignancy and COVID-19 were admitted to the ICU of COVID-19 center. There were 20 patients with solid organ malignancy and four patients with hematological malignancy. The most common malignancy was breast carcinoma in six (25 %) patients. Fifty percent of the patients were diagnosed with malignancy within the previous six months. Among the presenting symptoms, 13 (54.1%) patients presented with symptoms of severe acute respiratory infection (SARI), eight (33.3%) patients presented with altered sensorium, and three (12.5%) with pain abdomen. Regarding the severity of COVID-19, six (25%) patients had moderate COVID-19 and 18 (75%) had severe COVID-19. Out of 24 patients, six survived and 18 died, the mortality being 75%. The most common cause of death was sepsis with multiorgan dysfunction syndrome (MODS) in 10 (42.6 %) patients followed by severe acute respiratory distress syndrome (ARDS) and neurological cause in four (16.6 %) patients each. When survivors were compared with non-survivors, advanced age and presence of altered sensorium were more in non-survivors. Conclusion Severe COVID-19 and advanced malignancy is a sinister combination that has high mortality. These patients require close monitoring and aggressive care. Presence of altered sensorium and advanced age predicts poorer outcome.

Neutrophil-to-lymphocyte Ratio and Platelet-to-lymphocyte Ratio as Markers for Predicting the Severity in COVID-19 Patients: A Prospective Observational Study.

Background: Coronavirus disease-2019 (COVID-19) pandemic has shown unpredictable course in individual patients. Few patients develop severe disease with progression after admission to a healthcare facility. Multiple parameters have been investigated to identify a marker to predict disease progression. Neutrophil-to-lymphocyte ratio (NLR) or platelet-to-lymphocyte (PLR) ratio has shown some promise. The current investigation explores the role of NLR and PLR to predict the disease progression. Materials and methods: After obtaining ethics committee approval, 608 patients were screened for inclusion in the prospective observational study, and 201 patients were included in the final analysis. The NLR and PLR were derived from routinely obtained complete blood count analysis. The patients were followed to determine the development of severity of the disease during the course. The NLR and PLR were analyzed in both univariate and multivariable models to assess the association and prediction. Results: In nonsevere (NS) group, the mean age of patients was 50.9 ± 16.3 years, and 66 (61.2%) were male, while in severe group (S), the mean age of patients was 53.7 ± 16.4 years, and 65 (69.89%) were male. NLR at day 1 and day 3 was significantly lower in survivors as compared to nonsurvivors, while the relation of PLR in both the groups was not statistically significant. The NLR is better in predicting the severity of disease as well as mortality than PLR. Conclusion: The NLR calculated at the time of admission has high predictive value for disease deterioration and adverse clinical outcome. How to cite this article: Singh Y, Singh A, Rudravaram S, Soni KD, Aggarwal R, Patel N, et al. Neutrophil-to-lymphocyte Ratio and Platelet-to-lymphocyte Ratio as Markers for Predicting the Severity in COVID-19 Patients: A Prospective Observational Study. Indian J Crit Care Med 2021;25(8):847-852.

Coronavirus Disease-Associated Mucormycosis from a Tertiary Care Hospital in India: A Case Series.

BACKGROUND:  Coronavirus disease (COVID-19) remains a health concern with new challenges emerging as the pandemic progresses. The recent rise of opportunistic infections especially mucormycosis in COVID-19 patients is further complicating their outcomes. Mucormycosis is well known to infect patients with diabetes mellitus, malignancy, chemotherapy, and other immunocompromised conditions. The treatment of COVID-19 largely remains systemic steroids and other immunomodulators that add to the risk of invasive fungal infection. METHODOLOGY: Here, we present a retrospective case series of 13 patients with individual clinical characteristics along with the demography and treatment details. The data were collected retrospectively in a single center that caters to a large population of COVID-19 patients with varying severity. RESULTS: Thirteen patients were presented with COVID-19 associated mucormycosis (CAM). The median age was higher in non-survivors (49.5 years), with a higher odds of death (23.8) in those with severe COVID, having overall mortality of 64.3%. Moreover, diabetes mellitus was present in 61.5% of patients with a mortality of 75%. About 11 (84.6%) patients had received prior steroids for COVID-19. The incidence of hyperglycemia at admission was equal among both survivors and non-survivors. CONCLUSION: The prevalence of mucormycosis seems to be increasing among COVID-19 patients which may be associated with increased use of steroids, the possible immunocompromised state imposed by SARS-CoV-2, or co-existing conditions such as diabetes mellitus. The mortality of CAM is remarkably high and apart from preventive practices and rational use of immunomodulators, a high index of suspicion with early diagnosis would be key to survival.

Use of Telepresence Robots in Glaucoma Patient Education.

PRCIS: Telepresence robots (TR) present the versatility to effectively provide remote educational sessions for patients affected by glaucoma to improve disease knowledge. Given COVID-19's effect on clinical practice, TR can maintain social distancing when educating patients. PURPOSE: TR are devices that allow remote users to have a mobile presence anywhere. We compared the effect of an education session given by an in-person educator versus a TR on glaucoma knowledge and identified factors that impact patient education. METHODS: Eighty-five glaucoma patients were split into control, human, and TR groups. We measured glaucoma knowledge scores (KS) using the National Eye Institute's Eye-Q Test. Human and TR groups had the education session with a human or TR followed by the questionnaire. The control group was administered the questionnaire without an education session. Treatment regimen recall (RR) >90% was considered a success. We used linear regression and binary logistic regression to determine variables that affect KS and RR, respectively. RESULTS: Mean age was 58.3±2.8 years. 49% were female. Mean KS were 5.8±0.7 in the control group (n=31), 7.9±0.5 in the TR group (n=26), and 8.4±0.5 in the human group (n=28). Control participants had a lower mean KS than the human or TR groups (P<0.001). Having the education session (2.5, P<0.001), education greater than high school (0.8, P=0.016), and diabetes (-0.7, P=0.037) affected KS. Having diabetes (odds ratio=0.14, P=0.014) negatively affected RR. Having the education session may affect RR (odds ratio=5.47, P=0.07), warranting additional studies. CONCLUSIONS: Education sessions with a human and TR improved patients' glaucoma KS. TRs may serve as an alternative to in-person education sessions and allow educators to safely and effectively educate patients remotely to adhere to COVID-19 social distancing guidelines.