Clinical Characteristics of Critically Ill Patients Infected with COVID-19 in Rasoul Akram Hospital in Iran: A Single Center Study.

BACKGROUND: Knowledge about clinical features of critically ill patients with COVID-19 still lacks adequate information up to now.
OBJECTIVES: We aimed to describe and compare the epidemiological and clinical characteristics of critically ill patients with COVID-19 in Rasoul Akram Hospital.
METHODS: In this case series, 70 critically ill patients with COVID-19 admitted in ICU wards of Rasoul Akram Hospital, Tehran, Iran, from 29 February to 25 April 2020 were enrolled. Demographic and clinical characteristics, laboratory data, and outcomes of the patients were all collected and compared between deceased and recovered patients.
RESULTS: Fifty-six cases had died of COVID-19, and 14 patients had fully recovered and discharged. The median age of the patients was 68 years old, ranging from 22 to 91 years, 66% were men, 80% had one or more comorbidities, and hypertension was the most common comorbidities (45% of deceased cases). The most common signs and symptoms at the onset of illness were SPO2 depression (92%) and dyspnea (90%). Dyspnea was significantly more common in deceased patients (95%) than recovered patients (70%) (P = 0.048). Most patients had lymphopenia (80%). The number of patients who needed mechanical ventilation in the deceased patients was 53 (95%), which was significantly more than the recovered patients (10 [70%]) (P = 0.048).
CONCLUSIONS: The mortality rate of critically ill patients with COVID-19 is very high, and the patients with dyspnea and required mechanical ventilation are at higher risk for death.

1. Background

In December 2019, a cluster of pneumonia cases with an unknown cause and similar history of visiting a local seafood market were identified in Wuhan, Hubei Province, China, and their clinical manifestations were similar to viral pneumonia (1, 2). Deep sequencing analysis and real-time reverse transcription PCR (RT-PCR) from lower respiratory tract samples detected a new coronavirus, which was distinct from severe acute respiratory syndrome coronavirus “SARS-CoV” (identity of about 79%) and Middle East respiratory syndrome coronavirus “MERS-CoV” (identity of about 50%) (3). The World Health Organization (WHO) officially named it Coronavirus disease-19 (COVID-19) on 11 February 2020 (4). The number of confirmed patients with COVID-19 rapidly grew up in China and thereafter spread throughout the world, and WHO declared COVID-19 as a pandemic on 11 March 2020. It probably seems that COVID-19 is the greatest threat to human societies in the 21st century (5).

Common signs and symptoms of COVID-19 include fever, sore throat, cough, malaise, headache, nausea, vomiting, diarrhea, and breathlessness (5). The clinical manifestations of COVID-19 are widely heterogeneous, ranging from asymptomatic infection (with no or mild pneumonia) to severe pneumonia with respiratory failure and multi-organ dysfunction or death (6, 7). Unlike SARS-CoV, patients infected with COVID-19 can transmit the disease and contribute to the spread of infection during the prodromal period with mild symptoms; therefore, the virus spread worldwide shortly after the first detection (8). Until 6 July 2020, the last update shows that over 4.5 million cases with laboratory-confirmed with COVID-19 have been detected in the world, and Iran is among the top 10 countries in terms of infected patients and mortality due to COVID-19 (9).

Since the disease has a highly contagious nature and potential mortality (10), understanding all clinical implications of the virus will help to improve disease management, thereby controlling the pandemic. Most previous studies have just reported the general epidemiological findings, clinical characteristics, and clinical outcomes of patients with COVID-19 (3, 5-7), and there is a paucity of specific information about the characteristics of critically ill patients with COVID-19.

2. Objectives

To the best of our knowledge, there is no study focusing on critically ill patients infected with COVID-19 in Iran. Therefore, this study aim at describing and comparing the epidemiological and clinical characteristics of critically ill patients with COVID-19 who died or survived.

3. Methods

3.1. Study Population

The present study was designed as a case series, one which was performed on critically ill patients of COVID-19 admitted in ICU wards of Rasoul Akram Hospital, Tehran, Iran, from 29 February to 25 April 2020. All patients with COVID-19 enrolled in this study were diagnosed based on the WHO interim guidance (11), and nasal and pharyngeal swab specimens were collected for extracting SARS-CoV-2 RNA from the patients by Real-time polymerase chain reaction (RT-PCR). According to clinical practice guidelines from the Infectious Diseases Society of America and the American Thoracic Society for diagnosis and treatment of adults with community-acquired pneumonia (last updated 2019) (12), critically ill patients of COVID-19 were classified for ICU care. The study protocol was approved by the institutional review board (IRB) of Iran University of Medical Sciences, and the Ethics Committee approved the study before its initiation (ethics code: IR.IUMS.REC.1399.037).

3.2. Data Collection

Demographic and clinical characteristics and laboratory data of the patients, including age, gender, smoking history, comorbidities, clinical signs and symptoms, history of annual influenza vaccination, mechanical ventilation, hemodynamic status, peripheral capillary oxygen saturation (SPO2), complete blood count (CBC), lactate dehydrogenase (LDH), D-dimer, and Arterial blood gas (ABG) were obtained from their medical records upon admission using a standardized data collection form. Moreover, patients’ outcomes (death or survival) were extracted from medical records.

3.3. Statistical Analysis

The statistical software package SPSS for Windows, version 20.0 (SPSS, Chicago, IL, USA) was used for data analysis. Descriptive analyses of the variables were expressed as mean ( ± standard deviation = SD), median (with an interquartile range = IQR = Q1-Q3), or number (%). The clinical characteristics of both groups (death or Survival) were compared using χ2 tests or Fisher’s exact test for proportions and unpaired t-tests for means. Pearson correlation coefficient was calculated to evaluate the association between characteristics in each group. A P value of < 0.05 was considered statistically significant.

4. Results

From 29 February to 25 April 2020, the number of 70 critically ill patients with laboratory-confirmed COVID-19 was admitted to the ICU of Rasoul Akram Hospital. Overall, 56 cases had died of COVID-19, and 14 patients had fully recovered and been discharged. The median age of the patients was 68 years old (IQR = 57·0 - 77·0), ranging from 22 to 91 years. Gender distribution (male/female) of deceased and recovered patients was 36/20 and 10/4, respectively (P = 1.00). Fifty-six patients (80%) had one or more comorbidities, and hypertension was the most common comorbidities between them, 50% of infected patients and 45% of deceased cases had hypertension. History of cigarette smoking was more predominant in deceased patients (11; 20%) than in recovered patients (0; 0%); however, its difference was not statistically significant (P = 0.184). The baseline characteristics of the patients are represented in Table 1. There were no statistically significant differences between deceased and recovered patients regarding baselines.

Table 1.

Baseline Characteristics of Critically Ill Patients with COVID-19[a]

Baseline Characteristics	Total	Recovered Patients (N = 14)	Deaths (N = 56)	P Value
Age	66.22 ± 14.36	71.10 ± 11.79	65.00 ± 14.820	0.234
Gender				1.000
Female	24 (34)	4 (30.0)	20 (35.0)
Male	46 (66)	10 (70.0)	36 (65.0)
Hypertension				0.289
No	35 (50)	4 (30.0)	31 (55.0)
Yes	35 (50)	10 (70.0)	25 (45.0)
Asthma				1.000
No	65 (94)	14 (100.0)	51 (92.5)
Yes	5 (6)	0 (0.0)	5 (7.5)
Diabetes				1.000
No	41 (58)	9 (60.0)	32 (57.5)
Yes	29 (42)	5 (40.0)	25 (42.5)
Chronic heart failure				1.000
No	60 (86)	12 (90.0)	48 (85.0)
Yes	10 (14)	2 (10.0)	8 (15.0)
Smoking history				0.184
No	59 (84)	14 (100)	45 (80)
Yes	11 (16)	0 (0)	11 (20)
Received annual influenza vaccine				0.327
No	62 (88)	14 (100.0)	48 (85.0)
Yes	8 (12)	0 (0.0)	8 (15.0)

aValues are expressed as No. (%) or mean ± SD.

Overall, the most common signs and symptoms at the onset of illness were SPO2 saturation drop (64 [92%]), dyspnea (63 [90%]), followed by cough (56 [80%]), and fever (56 [80%]); less common signs and symptoms were myalgia (29 [42%]), sore throat (11 [16%]), diarrhea (8 [12%]), and nausea and vomiting (6 [8%]). Dyspnea was significantly more common in non-survivors 53 (95%) compared with recovered patients 10 (70%) (P = 0.048). We found cough and fever in 77.5% of non-survivors compared with 90% in recovered patients (P = 0.66). However, there were no statistically significant differences between survivor and non-survivor regarding other signs and symptoms at the onset of illness (Table 2).

Table 2.

Signs and Symptoms Upon Hospital Admission of Critically Ill Patients with COVID-19 Infection[a]

Signs and Symptoms Upon Hospital Admission	Total	Recovered Patients (N = 14)	Deaths (N = 56)	P Value
Fever				0.663
No	14 (20)	2 (10.0)	12 (22.5)
Yes	56 (80)	12 (90.0)	44 (77.5)
Dyspnea				0.048
No	7 (10)	4 (30.0)	3 (5.0)
Yes	63 (90)	10 (70.0)	53 (95.0)
SPO 2 < 93%				1.000
No	6 (8)	2 (10.0)	4 (7.5)
Yes	64 (92)	12 (90.0)	52 (92.5)
Myalgia or fatigue				0.488
No	41 (58)	10 (70.0)	31 (55.0)
Yes	29 (42)	4 (30.0)	25 (45.0)
Nausea and vomiting				0.571
No	64 (92)	14 (100.0)	50 (90.0)
Yes	6 (8)	0 (0.0)	6 (10.0)
Cough				0.663
No	14 (20)	2 (10.0)	12 (22.5)
Yes	56 (80)	12 (90.0)	44 (77.5)
Diarrhea				0.327
No	62 (88)	14 (100.0)	48 (85.0)
Yes	8 (12)	0 (0.0)	8 (15.0)
Sore throat				1.000
No	59 (84)	11 (80.0)	48 (82.5)
Yes	11 (16)	3 (20.0)	8 (17.5)

aValues are expressed as No. (%).

The median duration of fever was 12 and 13 days in survivors and non-survivors, respectively. The median duration of cough persisted for 16 days and 13 days in survivors and non-survivors, respectively. Seven (50%) survivors still had a cough on discharge. Moreover, 95% of non-survivors and 70% of survivors were intubated (P = 0.048). Among the deceased patients, the median time from hospital admission to mechanical ventilation was 3.8 days, which was similar to recovered patients (4.2 days). The median time of ICU stay was 10 days for non-survivors and 6.5 days for survivors. The median time of invasive mechanical ventilation need in ICU was 6.5 and 4 days for deceased and survived patients, respectively (P ≥ 0.05).

Among non-survivors, the median time from illness onset was 9, 10, and 11 days to sepsis, ARDS, and secondary infection, respectively. Among survivors, two cases of secondary infection and acute kidney injury were observed, which occurred 7 and 10 days after illness onset, respectively.

Clinical and laboratory findings of the patients were recorded on the day of hospital admission for all patients (Table 3). The blood counts of patients on hospital admission showed that only 17/70 patients had anemia. Most of them had lymphopenia (lymphocyte count < 1.0 × 109/L; 56 (80%) patients); however, it was not significant between the two groups. The mean LDH levels on admission were higher in the deceased (1.073.68 ± 293.50) than the recovered patients (970.60 ± 205.98), but the difference was not significant (P = 0.519). All of the patients had D-dimer ≥ 0.5 (P = 0.00). Hemodynamic instability (need to receive vasopressor on admission) was recorded in 3 (5%) of deceased patients, while all of the recovered patients had stable hemodynamic on the time of hospital admission. In addition, the mean of peripheral oxygen saturation (SpO2) in deceased patients was 62.80 ± 12.68, which was slightly lower than that of recovered patients (70.14 ± 8.37).

Table 3.

Clinical and Laboratory Findings of Critically Ill Patients with COVID-19[a]

Clinical and Laboratory Findings	Total	Recovered Patients (N = 14)	Deaths (N = 56)	P Value
Lymphopenia				1.000
No	14 (20)	3 (20.0)	11 (20.0)
Yes	56 (80)	11 (80.0)	45 (80.0)
Anemia				1.000
No	53 (76)	11 (80.0)	42 (75.0)
Yes	17 (24)	3 (20.0)	14 (25.0)
Hemodynamic instability				1.000
No	67 (96)	14 (100.0)	53 (95.0)
Yes	3 (4)	0 (0.0)	3 (5.0)
Required mechanical ventilation				0.048
No	7 (10)	4 (30)	3 (5)
Yes	63 (90)	10 (70)	53 (95)
Days from hospital admission to mechanical ventilation need, median	4	4.2	3.8	0.555
Days of ICU stay, median	8.2	6.5	10	0.541
Days of invasive mechanical ventilation need in ICU, median	5.2	4	6.5	0.450
LDH, U/L	1053.06 ± 279.44	970.60 ± 205.98	1073.68 ± 293.50	0.519
D-dimer, µg/L	≥ 0.5	≥ 0.5 (100%)	≥ 0.5 (100%)	0.00
SPO 2, %	63.89 ± 12.34	70.14 ± 8.37	62.80 ± 12.68	0.236
Pao 2 , mmHg	35.71 ± 11.87	34.85 ± 9.06	35.86 ± 12.38	0.839
Pco 2 , mmHg	49.74 ± 11.87	50.43 ± 7.87	49.63 ± 23.49	0.399
pH	7.34 ± 0.10	7.39 ± 0.04	7.33 ± 0.10	0.294

aValues are expressed as No. (%) or mean ± SD.

The Pearson correlations of SPO2 with Pco2, Pao2, PH, duration of mechanical ventilation, and respiratory rate was tested for deceased and recovered patients and the results of which are shown in Table 4. In the recovered group, no significant relationship was found between these variables (P > 0.05). In the deceased group, there is an inverse relationship only between SPO2 with respiratory rate (r = -0.326, P = 0.040), whereas the relationship between other variables with SPO2 was not significant (P > 0.05).

Table 4.

Correlation Between SPO2 and Pco2, Pao2, LDH, PH, Respiratory Rate, and Duration of Mechanical Ventilation Based on Survivors and Non-Survivors

Characteristics	Correlations
	Pco2	Pao2	LDH	Duration of Mechanical Ventilation, d	pH	Respiratory Rate
Recovered patients
SPO2
Pearson correlation	0.613	0.446	0.321	0.240	0.280	0.356
P value	0.143	0.316	0.483	0.605	0.543	0.434
Numbers	14	14	14	14	14	14
Deaths
SPO2
Pearson correlation	-0.005	0.292[a]	-0.094	-0.032	0.280[a]	-0.326[b]
P value	0.976	0.068	0.562	0.844	0.080	0.040
Numbers	56	56	56	56	56	56

aCorrelation is significant at 0.01 level (2-tailed).

bCorrelation is significant at 0.05 level (2-tailed).

5. Discussion

The mainstay of treatment for COVID-19 is supportive care to control symptoms and protects important organs due to lack of vaccine and specific antiviral medication for effective treatment at this time. It seems that close follow-up and supportive care are sufficient to manage the disease, but aggressive treatments and intensive care units for critically ill patients are needed (13). Up to now, limited studies have specifically focused on critically ill patients with COVID-19, and all three previously published studies of critically ill patients had a small sample size (14-16). In the present study, we report clinical features and outcomes of 70 critically ill patients with confirmed COVID-19 who admitted to ICU.

In agreement with the previous reports, 66% of critical cases infected by COVID-19 were men. In the Chinese cohort study (14), nearly 70% of critically ill patients were men, and it was 63% in the American study (16). Based on pieces of evidence, male patients are more susceptible to COVID-19 and seem to be the most prone to severe conditions. Our results showed these findings as well. However, there is no significant difference between survivors and non-survivors regarding gender distribution. As mentioned in previous studies, a large proportion of patients (80%) had one or more comorbidities, and hypertension was the most common comorbidity between the patients (17). We found hypertension as the most prevalent comorbidity as well. Moreover, we noted that the rate of comorbidities did not differ between survivors and non-survivors.

The mortality rate in our study was 80% that was higher than the previous studies. In an American study, the mortality rate was 50% (16), and it was 61.5% in a chines study regarding critically ill patients (15). Both mentioned studies followed the patients for 14 and 28 days, and some patients remained in ICU or intubated at the time of data gathering.

Clinical characteristics of COVID-19 are nearly similar to previous coronavirus infections. In our study, SPO2 decline, dyspnea, cough, and fever were the most common symptoms in the time of admission in critically ill patients with COVID-19. Consistent with our results, other studies reported that these symptoms are the most common among critical patients with COVID-19 pneumonia (17). Moreover, similar to previous studies, intestinal signs and symptoms were less common (diarrhea 12%, nausea, and vomiting 8%) among the patients of our study, whereas intestinal signs and symptoms have been presented in about 20% - 25% of patients with MERS-CoV or SARS-CoV infection (18, 19). Comparing non-survivors with survivors in the current study, dyspnea was significantly more common in deceased patients; however, other prevalent symptoms were similar in both deceased and recovered patients.

According to laboratory tests, lymphopenia was seen in 80% of critically ill patients, and it was concordant with the results from the previous studies. However, there is no difference between survivors and deaths. This is consistent with the report of Yang et al. (14), who showed that more than 80% of critically ill patients had lymphopenia, and it was 75% in case series done in the USA (16). Lymphopenia is a common characteristic of critically ill patients with SARS-CoV infection because SARS-CoV viral particles play a destructive role in damaging the cytoplasmic component of the lymphocytes (20). In addition, owing to the induced apoptosis of lymphocytes by the MERS-CoV virus, lymphopenia is a prominent feature in critically ill patients with MERS infection (21, 22). Therefore, it creates a hypothesis that lymphopenia in critically ill patients with COVID-19 could be caused by virus-induced necrosis or apoptosis in lymphocytes. In a previous study, which reported the characteristics of non-critical patients infected with COVID-19, only 35% of patients had mild lymphopenia (23), suggesting that the severity of lymphopenia may the probable reason for the severity of COVID-19.

Mechanical ventilation plays an essential role as a supportive treatment for critically ill patients. In our study, most of the patients (90%) needed mechanical ventilation. This finding was along with the results of other studies. In the study conducted by Arentz et al. (15), 71% of critically ill patients needed mechanical ventilation, and it was 75% in another study by Bhatraju et al. (16). Additionally, the rate of required mechanical ventilation in non-survivors was significantly more than the recovered. This is similar to Yang et al. (14), who showed that 57% of non-survivors required mechanical ventilation, but it was 35% among survivors.

There were a number of limiting factors, diminishing the impact of results of which the patient population in a single referral center is the most important one. Thus our results may not be representative of patients in Iran with this condition due to the retrospective study design, not all laboratory tests were done in all patients, including procalcitonin, IL-6, and serum ferritin. Also, since we are involved in the management of critically ill patients with COVID-19 in one hospital, our sample size was small. In addition, some specific information from the ICU, including mechanical ventilation settings, radiological findings, and supportive treatments and interventions, are missed. Instead, we hope that our efforts will encourage a larger and multicenter investigation for a better understanding of clinical features, risk factors, and outcomes of COVID-19.

5.1. Conclusions

Our findings provide some important clinical characteristics of critically ill patients with COVID-19 admitted to ICU and needed ICU care and ventilatory support. The mortality rate of critically ill patients with COVID-19 is very high, and the patients with dyspnea and required mechanical ventilation are at higher risk for poor outcomes and death after ICU admission. We found that male hypertensive gender with dyspnea at admission were risk factors for ICU-admission of adult patients with COVID-19. However, more extensive large multicenter studies should be performed to define all risk factors and specify more effective care for these challenging patients.