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Erschienen in: Pulmonary Therapy 3/2023

Open Access 07.07.2023 | Original Research

Predictive Factors of Mortality in Patients with Severe COVID-19 Treated in the Intensive Care Unit: A Single-Center Study in Vietnam

verfasst von: Sy Duong-Quy, Duc Huynh-Truong-Anh, Thanh Nguyen-Thi-Kim, Tien Nguyen-Quang, Thuy Tran-Ngoc-Anh, Nam Nguyen-Van-Hoai, Mai Do-Thi-Thu, Thanh Nguyen-Chi, Toi Nguyen-Van, Tram Tang-Thi-Thao, Anh Nguyen-Tuan, Quan Nguyen-Hoang, Phung Hoang-Phi-Tuyet, Giap Vu-Van, Hieu Nguyen-Lan, Chuong Nguyen-Hong, Sy Dinh-Ngoc, Dung Truong-Viet, Vinh Nguyen-Nhu, Thai Nguyen-Duy

Erschienen in: Pulmonary Therapy | Ausgabe 3/2023

Abstract

Introduction

The fourth outbreak of COVID-19 with the delta variant in Vietnam was very fierce due to the limited availability of vaccines and the lack of healthcare resources. During that period, the high mortality of patients with severe and critical COVID-19 caused many concerns for the health system, especially the intensive care units. This study aimed to analyze the predictive factors of death and survival in patients with severe and critical COVID-19.

Methods

We conducted a cross-sectional and descriptive study on 151 patients with severe and critical COVID-19 hospitalized in the Intensive Care Unit of Binh Duong General Hospital.

Results

Common clinical symptoms of severe and critical COVID-19 included shortness of breath (97.4%), fatigue (89.4%), cough (76.8%), chest pain (47.7%), loss of smell (48.3%), loss of taste (39.1%), and headache (21.2%). The abnormal biochemical features were leukopenia (2.1%), anemia, thrombocytopenia (18%), hypoxia with low PaO2 (34.6%), hypocapnia with reduced PaCO2 (29.6%), and blood acidosis (18.4%). Common complications during hospitalization were septic shock (15.2%), cardiogenic shock (5.3%), and embolism (2.6%). The predictive factors of death were being female, age > 65 years, cardiovascular comorbidity, thrombocytopenia (< 137.109/l), and hypoxia at inclusion or after the first week or blood acidosis (pH < 7.28). The use of a high dose of corticosteroids reduced the mortality during the first 3 weeks of hospitalization but significantly increased risk of death after 3 and 4 weeks.

Conclusions

Common clinical symptoms, laboratory features, and death-related complications of critical and severe COVID-19 patients were found in Vietnamese patients during the fourth wave of the COVID-19 pandemic. The results of this study provide new insight into the predictive factors of mortality for patients with severe and critical COVID-19.
Key Summary Points
Why carry out the study?
The delta variant is responsible for significant outbreaks of COVID-19 around the world, with its ability to spread rapidly, cause severe illness, and reduce vaccine effectiveness, making them more deadly.
Data of severe–critical patients with COVID-19 are very useful for better understanding the symptoms, characteristics, and mortality risks of the disease.
Study on predictive factors of mortality and survival may help to identify the effectiveness of conventional treatment in patients with severe and critical COVID-19.
What was learned from the study?
Severe–critical COVID-19 patients with age > 65 years or cardiovascular comorbidity, had thrombocytopenia, comorbidity of cardiovascular diseases, and low PaO2 or pH < 7.28 might have a high risk of death during hospitalization.
Use of high-dose corticosteroids could reduce mortality during the first 3 weeks of hospitalization but could significantly increase the risk of death afterwards.

Introduction

COVID-19, a disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has emerged as a global pandemic with severe consequences and has placed tremendous pressure on healthcare systems in numerous countries worldwide,, especially in emerging countries [1, 2]. According to Worldometers statistics, the SARS-CoV-2 virus infected more than 290 million people, with 5.4 million deaths globally by the end of 2021 [3]. The continuous emergence of new strains of the SARS-CoV-2 virus has posed crucial challenges for healthcare systems in terms of disease prevention and treatment. Delta variant, or B.1.167.2, first detected in India in December 2020, was considered the deadliest variant with more infectious and virulent, and it can reduce the vaccine’s effectiveness [47]. Studies have shown that the delta variant is associated with being two times more contagious and more likely to cause severe illness compared to older strains. Specifically, it is 60% more transmissible than the alpha variant and has a shorter incubation period, around 2–3 days [811].
In addition, people infected with the delta strain had a nasal viral load 1000 times higher than those infected with the original strain [12, 13]. Even the viral load in an unvaccinated person is equivalent to that of a fully vaccinated person when infected with this strain [14, 15], or in some cases, asymptomatic infected people have a higher viral load than hospitalized patients and become a mobile source of infection in the community [16]. As a result, the delta variant quickly became popular in most countries worldwide, and the dominant variant overwhelmed all other strains globally. The lethality of the delta variant was also confirmed by increased risk of hospitalization (120%) and intensive care unit (ICU) admission (287%), and 137% higher risk of death compared with the original variant [13, 17].
People with COVID-19 with the delta variant have a nonspecific clinical presentation or have symptoms ranging from mild fever, fatigue, cough, and shortness of breath [18, 19] to severe cases such as lower respiratory tract infections, pneumonia, and some cases progressed to severe acute respiratory distress syndrome (ARDS), or multi-organ failure leading to death [20, 21]. High mortality rates have been reported in Latin America and Europe, ranging from 13.9% to 21.0% in hospitalized patients, particularly in severe and critical cases [2224] and up to 25% in elderly patients [25]. Therefore, it is crucial to have an appropriate approach to patients with early symptoms of severe COVID-19 for helping to classify correctly the disease severity to reduce the healthcare burden and to choose the correct treatment [26].
The delta variant of SARS-CoV-2 virus has caused the COVID-19 pandemic to re-emerge, creating a new wave of infection that can increase patients’ severity and mortality risk. During the fourth wave of COVID-19 pandemic, the delta variant gave the healthcare burden in many countries worldwide. Thus, Vietnam had no exception, with the fourth wave started at the end of April 2021 [27]. According to a survey study in 23 countries on COVID-19 prevention policies in May 2020, Vietnam has a satisfaction level of people up to 77%, just behind China [28]. Indeed, Vietnam has been considered one of the most effective response countries to the COVID-19 pandemic. In the more than 15 months since the pandemic began in January 2020, the total number of officially recorded COVID-19 infections in Vietnam has been less than 3000 cases and 35 deaths out of a population of ~ 100 million. However, when delta variant arrived, the number of new cases increased to thousands of patients per day in July 2021 and continuously set new peaks. The highest record was set on August 8, 2021, with 9684 cases/day and 220,000 total infections, with 3757 deaths in Vietnam [29, 30].
However, during the fourth wave of the pandemic in Vietnam, some clinical studies on patients with severe–critical COVID-19 were also conducted, but the results have been limited and unpublished. Thus, the present study aimed to describe the clinical and laboratory characteristics and predictive factors of mortality in patients with severe and critical COVID-19 in Vietnam during the fourth wave of the COVID-19 pandemic.

Methods

Study Design and Data Sources

Our study was a cross-sectional descriptive study, in compliance with STROBE guidelines (strengthening the reporting of observational studies in epidemiology) for cross-sectional studies [31] in 151 patients with severe and critical COVID-19 at the intensive care unit (ICU) of Binh Duong General Hospital from September 2021 to March 2022. The ICU of Binh Duong General Hospital was one of the facilities to collect and treat patients with severe and critical COVID-19 in the southern pandemic center of Vietnam.
This study was approved by the Ethics Committee of Binh Duong General Hospital (HDDD-BVDK BINH DUONG 09.2021). Written informed consent was obtained from the participants or their families for the study and publication. The study was performed in accordance with the Helsinki Declaration of 1964 and its later amendments.
The present study was conducted as a descriptive study and did not involve the use of a protocol or randomized control trial (RCT). The written consent of study subjects related to the data analysis and publication was obtained for each patient (survival) or their families (dead patients).
The study recruited all COVID-19 patients who met the inclusion criteria from September 2021 to March 2022, resulting in a sample size for analysis.

Data Collection

Patients’ data, including demographic information, clinical symptoms, laboratory results, and treatments were collected from medical records for analysis. The data were taken from the medical records related to the standard care.

Inclusion Criteria

Patients > 18 years old with a positive real-time (RT)-polymerase chain reaction (PCR) test result for SARS-CoV-2 were classified as severe and critical according to the Ministry of Health of Vietnamese guidelines.

Severity Level

  • Respiratory signs of pneumonia accompanied by breathing rate > 25 breaths/minute; severe shortness of breath, contraction of accessory respiratory muscles; SpO2 < 94% when breathing room air.
  • Circulation, heart rate can be fast or slow, and normal blood pressure or increased.
  • Neurologically, the patient may be restless or lethargic and tired. Chest X-ray and computed tomography of the chest: there are lesions, and lesions are more than 50%. Ultrasound shows many B waves and arterial blood gas: PaO2/FiO2 about 200–300.

Critical Level

  • Respiration with manifestations of tachypnea > 30 breaths/minute or < 10 breaths/minute, signs of severe respiratory failure, labored breathing, abnormal breathing, or need for respiratory support with high-flow nasal cannula (HFNC), mechanical ventilation. The patient's consciousness is reduced or comatose.
  • Circulation, the patient's heart rate may be fast or slow, blood pressure drops, urine is less, or anuria. Chest X-ray results and chest computed tomography showed lesions over 50%. Ultrasound image shows many B waves and arterial blood gases: PaO2/FiO2 < 200, respiratory acidosis, blood lactate > 2 mmol/l.

Exclusion Criteria

Patients under 18 years old, patients without COVID-19, patients with a positive RT-PCR test result for SARS-CoV-2, and which are not classified as severe/critical according to the guidelines of Vietnam’s Ministry of Health.

Statistical Analysis

Categorical variables were given as percentages and frequencies; the continuous variables were determined by using mean ± standard deviation (SD). Data were analyzed by using SPSS 26 software (SPSS Inc., Chicago, IL, USA). The descriptive statistics, comparison test, and univariate regression analysis were used to describe the clinical and laboratory characteristics. Receiver operating characteristic (ROC) curve analysis was used to predict prognostic factors for the death of patients.
The relative risks (RR) of mortality related to anthropometry, comorbidities, and blood gases were analyzed in all study patients. The ROC curve was used to calculate the sensitivity and specificity of predicting value of the probability of death and survival. A Kaplan–Meier curve was used to evaluate survival during hospitalization. A p value < 0.05 was considered statistically significant.

Results

General Characteristics of the Study Patients with Severe and Critical COVID-19

Clinical Characteristics of Study Patients

In the present study, there were 151 patients with the main characteristics described in Table 1. There were 55 male (36.4%) and 96 female (63.6%) and 71 patients under 50 years old (47%) vs. 80 patients over 50 years old (53%). The mean age of the study patients was 53.67 ± 17.7 years. The patients with comorbidities included 11 patients with chronic respiratory diseases (7.3%), 54 patients with hypertension (35.8%), 21 patients had cardiovascular diseases (13.9%), 50 patients with the comorbidity related to endocrinological disease (33.1%), and two patients with mental illness (1.3%, Table 1). Regarding common symptoms of COVID-19, the results showed that more than 40% of patients had typical symptoms of this disease such as cough, shortness of breath, chest pain, loss of smell and/or taste, and fatigue (Table 1).
Table 1
Demographics and clinical characteristics of study patients
Clinical parameters
N = 151
%
Mean ± SD
Age (years)
53.7 ± 17.7
  < 50 years
71
47
34.8 ± 14.9
  ≥ 50 years
80
53
67.6 ± 11.0
Sex
151
100.0
 
 Male
55
36.4
 Female
96
63.6
Comorbidities
138
91.4
 
 Respiratory diseases
11
7.3
 Hypertension
54
35.8
 Cardiovascular diseases
21
13.9
 Endocrinological diseases
50
33.1
 Psychological disorders
2
1.3
Symptoms
 Fever
30
19.9
 Cough
116
76.8
 Chest pain
72
47.7
 Shortness of breath
147
97.4
 Anosmia
73
48.3
 Ageusia
59
39.1
 Headache
32
21.2
 Sore throat
42
27.8
 Tired
135
89.4
Treatments
151
100.0
 Corticosteroids
148
98.0
  Dexamethasone 6 mg/day*
111
73.5
  Dexamethasone > 6-12 mg/day**
12
7.9
  Dexamethasone > 12-20 mg/day***
25
16.6
 Remdesivir
37
24.5
 Ivermectin
4
2.6
 Enoxaparin
149
98.7
 Vasopressin
76
50.3
 Others
2
1.4
Complications
35
23.1
 Septic shock
23
15.2
 Thromboembolism
4
2.6
 Cardiogenic shock
8
5.3
Hospitalized duration in ICU
151
100.0
10.8 ± 5.3
  < 7 days
4
2.6
3.4 ± 1.7
 7–14 days
56
37.1
11.2 ± 1.9
 15–21 days
47
31.1
17.8 ± 2.6
  ≥ 22 days
44
29.2
26.5 ± 2.1
*or 1-2 mg/kg of methylprednisolone; ** > 2-3 mg/kg of methylprednisolone; ≥ 4 mg/kg of methylprednisolone
The included patients were treated with enoxaparin (98.7%), vasopressors (50.3%), and remdesivir (24.5%; Table 1). Most patients were treated with dexamethasone 6 mg/day, accounting for 73.5%. During treatment, 23 patients (15.2%) had the complications with septic shock, four patients (2.6%) with thromboembolic complications, and eight patients (5.3%) had the complications of cardiogenic shock (Table 1).

Biological Characteristics of Study Patients

The laboratory testing results of patients with severe and critical COVID-19 in the present study are presented in Table 2. The results show that there were 2.1% patients with leukopenia, mainly with lymphocytopenia (14.9%) and 18.0% patients with thrombocytopenia. The arterial blood gas revealed that 34.6% patients with decreased PaO2, 29.6% with low PaCO2, and 18.4% with low pH. The mean values of biochemical parameters are presented in Table 2. The levels of CRP, fibrinogen, LDH, and lactate were significantly increased in study patients; the mean values of urea, creatinine, AST, and ALT were also higher than the normal limits (Table 2).
Table 2
Biological characteristics of study patients
Laboratory parameters
Normal range
Mean ± SD
Min–Max
Arterial blood gases
 PaO2, mmHg
80.0–100.0
75.5 ± 26.9
30.0–170.0
 PaCO2, mmHg
35.0–45.0
46.2 ± 15.6
23.0–115.0
 pH
7.35–7.45
7.34 ± 0.14
6.83–7.58
 HCO3, mEq/
18.0–23.0
24.7 ± 5.6
7.8–37.8
 AaDO2, mmHg
5–20
406 ± 143
53–624
Biochemical parameters
 CRP, mg/dl
 < 1.0
8.7 ± 8.3
0.05–9.2
 Fibrinogen, g/l
1.5–4.0
5.6 ± 1.5
1.9–10.7
 LDH, U/l
 < 247
2436 ± 1697
72–18,154
 Lactate, mmol/l
0.5–2.2
3.5 ± 4.1
1.0–20.6
 PCT, ng/ml
 < 0.5
2.7 ± 6.9
0.1–37.9
 Urea, mmol/l
2.8–7.2
8.2 ± 6.5
1.6–53.9
 Creatinine, µmol/l
72–127
85 ± 56
42–504
 AST, U/l
0–50
125 ± 45
17–498
 ALT, U/l
0–50
108 ± 29
11–289
Blood test
 White blood cells, 109/l
4.0–11.0
12.4 ± 6.3
6.9–34.2
  Neutrophils, 109/l
1.8–8.2
11.5 ± 5.6
12.5–30.2
  Lymphocytes,109/l
0.80–4.90
0.85 ± 0.91
0.34–0.92
 Red blood cells, 1012/l
3.8–6.3
4.1 ± 0.6
1.3–5.8
 Hemoglobin, g/dl
12.0–18.0
11.8 ± 2.1
4.5–16.0
 Hematocrit, %
37.0–52.0
38.6 ± 22.3
14.7–58.5
 Platelets, 109/l
140–500
265 ± 150
26–450

Clinical and Biological Characteristics of Survival Patients vs. Dead Patients

The results showed that there was a significant difference in the mean age of death patients with severe–critical COVID-19 compared to survival patients (57.8 ± 16.5 vs. 46.5 ± 17.4; p < 0.001; Table 3); death patients were mainly female (69.1%). Among the study patients, the percentage of comorbidity with cardiovascular diseases was higher in those who died compared to the patients who survived (19.6 vs. 3.7%; p = 0.007; Table 3). In comparison to survival patients, death patients were mainly treated with dexamethasone of 6 mg/day or equivalent with 1-2 mg/kg of methylprednisolone (84.6 vs. 53.7%; p < 0.001; Table 3). Survival patients had a higher percentage of remdesivir treatment, lower percentage of vasopressin use, and had no complications related to septic shock or cardiac shock during hospitalization (37.0 vs. 17.5% and p = 0.007; 1.9 vs. 77.3% and p < 0.001; 0.0 vs. 13.4% and p = 0.005; 0.0 vs. 8.2% and p = 0.015, respectively; Table 3).
Table 3
Clinical and biological characteristics of surviving patients vs. dead patients
Clinical–laboratory parameters
Survival (N = 54)
Death (N = 97)
P
Age, mean ± SD (years)
46.5 ± 17.4
57.8 ± 16.5
 < 0.001
Sex
 Male, %
53.7
30.9
0.002
 Female, %
46.3
69.1
0.010
Comorbidities
 Respiratory diseases, %
5.6
8.2
0.545
 Hypertension, %
25.9
41.2
0.061
 Cardiovascular diseases, %
3.7
19.6
0.007
 Endocrinological diseases, %
24.1
38.1
0.079
 Psychological disorders, %
1.9
1.0
0.675
Treatments
 Corticosteroids
  Dexamethasone 6 mg/day*, %
53.7
84.6
 < 0.001
  Dexamethasone > 6-12 mg/day**, %
13.0
8.2
0.176
  Dexamethasone > 12-20 mg/day***, %
33.3
7.2
 < 0.001
 Remdesivir, %
37.0
17.5
0.007
 Ivermectin, %
3.7
2.1
0.550
 Enoxaparin, %
98.1
99.0
0.675
 Vasopressin, %
1.9
77.3
 < 0.001
Complications
 Septic shock, %
0.0
13.4
0.005
 Thromboembolism, %
0.0
4.1
0.065
 Cardiac shock, %
0.0
8.2
0.015
Laboratory features
Arterial blood gases
 PaO2, mean ± SD (mmHg)
85.3 ± 29.0
71.0 ± 24.4
0.003
 PaCO2, mean ± SD (mmHg)
42.9 ± 8.7
47.9 ± 18.2
0.074
 pH, mean ± SD
7.4 ± 0.1
7.3 ± 0.2
0.003
 HCO3, mean ± SD (mEq/l)
25.7 ± 3.8
24.2 ± 6.4
0.133
 AaDO2, mean ± SD (mmHg)
385.6 ± 143.9
418.9 ± 135.7
0.246
Biochemical parameters
 CRP, mean ± SD (mg/dl)
6.0 ± 4.2
15.7 ± 11.4
0.361
 Fibrinogen, mean ± SD (g/l)
5.5 ± 1.1
5.8 ± 1.8
0.446
 LDH, mean ± SD (U/l)
557.1 ± 133.8
3996.6 ± 2259.4
 < 0.001
 Lactate, mean ± SD (mmol/l)
6.9 ± 3.4
3.4 ± 13.0
0.472
 PCT, mean ± SD (ng/mL)
0.3 ± 0.3
2.5 ± 5.0
0.095
 Urea, mean ± SD (mmol/l)
6.6 ± 3.5
8.5 ± 5.8
0.042
 Creatinine, mean ± SD (µmol/l)
80.2 ± 43.3
88.6 ± 62.3
0.411
 AST, mean ± SD (U/l)
111.3 ± 77.7
567.0 ± 155.1
0.353
 ALT, mean ± SD (U/l)
179.7 ± 95.3
342.8 ± 116.9
0.687
Blood test
 White blood cells, mean ± SD (109/l)
11,694 ± 4081
14,021 ± 6247
0.020
 Neutrophils, mean ± SD (109/l)
10,035 ± 4049
12,627 ± 5934
0.007
 Lymphocytes, mean ± SD (109/l)
1066 ± 1339
731 ± 564
0.039
 Red blood cells, mean ± SD (1012/l)
4.3 ± 0.6
4.1 ± 0.7
0.209
 Hemoglobin, mean ± SD (g/dl)
12.0 ± 2.2
11.8 ± 2.0
0.558
 Hematocrit, mean ± SD (%)
36.7 ± 6.5
39.8 ± 27.3
0.439
 Platelets, mean ± SD (109/l)
309.4 ± 125.9
234.6 ± 137.0
0.002
*or 1–2 mg/kg of methylprednisolone; ** > 2–3 mg/kg of methylprednisolone;  ≥ 4 mg/kg of methylprednisolone
The study results demonstrated that dead patients had a lower level of PaO2 and pH than surviving patients (Table 3). The results of biochemical parameters showed that there were only significant differences between death and survival patients for lactate dehydrogenase (LDH) and urea (p < 0.001 and p = 0.042, respectively; Table 3). Platelet count of death patients was significantly lower than survival patients (309.4 vs. 125.9 [109/l]; p = 0.002; Table 3).

Relative Risk of Mortality in Study Patients

The univariate regression analysis for the relative risk of mortality in study patients was presented in Table 4 and Fig. 1. The results showed that age > 65 years and comorbidity with cardiovascular disease were significantly associated with relative risk (RR) of mortality (RR = 4.140 and p = 0.001; RR = 6.333 and p = 0.007, respectively; Table 4 and Fig. 1). The treatment with dexamethasone of 12–20 mg/day (or methylprednisolone with ≥ 4 mg/kg/day) had a very low relative risk of death (RR = 0.137 and p < 0.001). At inclusion (admission), study patients with PaO2 < 63 mmHg, pH < 7.28 and thrombocytopenia (< 137.109/l) had high relative risks of death (RR = 3.3293 and p = 0.004; RR = 8.138 and p = 0.001; RR = 7.779 and p = 0.002, respectively; Table 4 and Fig. 1). These parameters were still related to high relative risk of mortality when they continued to reduce after 1 week of treatment (Table 4 and Fig. 1).
Table 4
Relative risk of mortality in study patients
Clinical–Laboratory parameters
Relative risk
95%CI
P
Sex
 Female
1.925
0.958–3.866
0.061
Age > 65 years
4.140
1.634–10.493
0.001
Comorbidities
 Respiratory diseases
1.528
0.386–6.056
0.543
 Hypertension
2.005
0.955–4.210
0.061
 Cardiovascular diseases
6.333
1.356–29.585
0.007
 Endocrinological diseases
1.945
0.913–4.145
0.079
Treatments
 Dexamethasone 12-20 mg/day
(or methylprednisolone ≥ 4 mg/kg/day)
0.137
0.048–0.393
 < 0.001
Arterial blood gases and biology
 At inclusion
 PaO2 < 63 mmHg (with oxygen support)
3.293
1.382–7.847
0.004
 PaCO2 < 31.5 mmHg
0.860
0.264–2.804
0.802
 pH < 7.28
8.138
1.715–38.623
0.001
 Platelets < 137.109/l
7.779
1.648–36.722
0.002
Day 7 after initial treatment in ICU
 PaO2 < 59 mmHg
4.133
1.394–12.354
0.005
 PaCO2 < 30.5 mmHg
0.691
0.109–4.361
0.692
 pH < 7.22
0.385
0.139–0.608
0.002
 Platelets < 103.109/l
7.655
0.901–65.068
0.028

Predicting value for the probability of survival and death

The ROC curve (Fig. 2A, B) demonstrated the predictors of survival with the cut-off of PaO2 and pH in patients with severe and critical COVID-19. The sensitivity and specificity of the cut-off of PaO2 and PaCO2 were very low for predicting the probability of survival (Fig. 2A, B). However, the ROC curves in Fig. 3A showed the cut-off of age older > 50 years was related to the moderate sensitivity and specificity of death. The cut-off of PaCO2 with 57.5 mmHg in severe–critical COVID-19 patients was associated with very high specificity of mortality in these patients (Fig. 3B).

Kaplan–Meier curve of survival patients

The Kaplan–Meier curves (Fig. 4A, B, C and D) showed the survival rate of patients with severe and critical COVID-19 at admission and the effectiveness of corticosteroid therapy. The survival rate of patients with predictive factors of death related to PaO2 < 63 mmHg, pH < 7.28, and platelet count < 137.109/l was significantly and sharply decreased in the first 3 weeks of treatment and consecutively more stable after 3 weeks (Fig. 4A, B, and C).
The treatment with dexamethasone > 6 mg/day (or methylprednisolone > 2 mg/kg/day) was significantly associated with better survival than the dose ≤ 6 mg/day of dexamethasone (or ≤ 2 mg/kg/day of methylprednisolone) during the first 3 weeks (Fig. 4D). The results also showed that the treatment with a high dose of corticosteroids (12–20 mg/day of dexamethasone or ≥ 4 mg/kg/day of methylprednisolone) was related to low probability of survival after 3 weeks (Fig. 4D). However, the lower dose of corticosteroids (6-12 mg/day of dexamethasone or > 2-3 mg/kg/day of methylprednisolone) had low probability of survival after 4 weeks (Fig. 4D).

Discussion

COVID-19 is a highly dangerous infectious disease with significant morbidity and mortality rates globally. Therefore, it is crucial to comprehend the disease's characteristics and severity to facilitate informed decision-making in selecting appropriate care and enhancing treatment effectiveness. These measures are essential for reducing mortality rates and alleviating the burden on healthcare systems. Like other viral respiratory pathogens, without vaccination, COVID-19 presents in most cases with a rapidly progressive course of common symptoms such as fever, cough, and shortness of breath to ARDS. In the present study (Table 1), the clinical symptoms of patients with severe and critical COVID-19 were dyspnea (97.4%), fatigue (89.4%), and cough (76.8%). Some other extra-respiratory symptoms in these patients were also recognized, including a loss of smell (48.3%), loss of taste (39.1%), and headaches (21.2%). These symptoms are common in both alpha and delta variants of SARS-CoV-2 but more severe with the delta variant. Our results are also consistent with the clinical manifestations reported in a meta-analysis of 55 studies within 10,014 severe COVID-19 patients who had fever, cough, fatigue, anorexia, dyspnea, chest tightness, hemoptysis, diarrhea, and abdominal pain [19]. The study conducted by Wang et al. in the clinical characteristics of 138 COVID-19 patients in Wuhan, China, showed similar results. However, in Wang’s study, the onset of symptoms was fever (98.6%), followed by fatigue and dry cough (69.6 and 59.4%, respectively) [18]. Another study published by Shang et al. [26] demonstrated the symptoms of severe COVID-19 included fever (81.7%), cough (65.4%), dyspnea (51.5%), fatigue (38.3%), and expectoration (35.1%). Thus, the frequency of dyspnea, fatigue, and cough in our study was significantly higher than in previous studies. This difference might be due to the patient's initial severity on admission or the degree of response during treatment with different variants of the SARS-CoV-2 [26]. Dyspnea, or shortness of breath, fatigue, and cough has consistently been reported as common symptoms in severe and critical COVID-19 cases. While the exact rate may vary due to factors such as study design, population characteristics, and geographic location, it is generally recognized as a prominent symptom in severe cases.
The present study showed that there were some laboratory abnormalities such as leukopenia with mainly lymphocytopenia, anemia, thrombocytopenia, and abnormal arterial blood gas related to hypoxia, hypercapnia, and acidosis (Table 2). Thus, these laboratory characteristics might help clinicians in identifying COVID-19 patients with severe–critical illness in early stage, because most patients with severe and critical COVID-19 might present with rapid progression to multi-organ dysfunction. The present study also revealed that in comparison to survival COVID-19 patients, the common complications of dead patients were septic shock, cardiogenic shock, and embolism (Table 1). These complications might be related to nosocomial infections, cardiomyopathy, and coagulation compromised due to SARS-CoV-2 infection [32, 33]. Also, it has been found that stool and urine samples of COVID-19 patients were positive for SARS-CoV-2 nucleic acid and angiotensin-converting enzyme 2 (ACE2) expression in small intestinal epithelial cells and biliary and pancreatic cells, suggesting SARS-CoV-2 infection can cause multi-organ damage in COVID-19 patients [3436].
In the present study, the patients with severe and critical COVID-19 were mainly treated with enoxaparin, vasopressors, and remdesivir (Table 1). However, remdesivir was not recommended for severe COVID-19 patients due to conflicting reports on its efficacy for improving clinical status, reducing the duration of mechanical ventilation, as well as morbidity and mortality for these patients [18, 37, 38]. The use of corticosteroids with different doses, including dexamethasone with doses of 6 mg/day (73.5%), 6–12 mg/day (7.9%), and 12–20 mg/day (16.6%) was also demonstrated in the present study. While the treatment with a high dose of corticosteroids (12–20 mg/day of dexamethasone or ≥ 4 mg/kg/day of methylprednisolone) was associated with a low survival after 3 weeks, the treatment with the dose of dexamethasone of 6-12 mg/day (or > 2-3 mg/kg/day of methylprednisolone) had a low probability of survival after 4 weeks in comparison to the dose of dexamethasone of 6 mg/day (Fig. 4D). Interestingly, the treatment with dexamethasone > 6 mg/day (or methylprednisolone > 2 mg/kg/day) was significantly associated with better survival than the conventional dose of dexamethasone (6 mg/day or equivalent dose of methylprednisolone) during first 3 weeks (Fig. 4D). This result was consistent with the recommendations which suggest that low-dose and short-term treatment of dexamethasone may be used for symptomatic treatment of patients with severe and critical COVID-19 [37, 39, 40]. In fact, the efficacy of dexamethasone 6 mg/day used for 10 consecutive days to reduce hospital stay and mortality in COVID-19 patients who required oxygen or invasive mechanical ventilation has been demonstrated previously [4143]. However, it has also been reported that the abuse of dexamethasone or methylprednisolone with high doses might increase the patient mortality and slow down the clearance of viral RNA in severe COVID-19 patients [44, 45]. Thus, the identification of predictive mortality and survival factors is critical in choosing the appropriate treatment regimen in patients with severe and critical COVID-19.
The results of our study clearly demonstrated that deceased patients were older and predominantly female. Additionally, they exhibited a higher prevalence of cardiovascular diseases, elevated levels of LDH and urea, lower levels of PaO2 and pH, as well as lower platelet counts compared to the patients who survived (Tables 3 and 4). Inversely, the surviving patients had a higher percentage of remdesivir treatment, a lower percentage of vasopressin use, and had no complications related to septic shock or cardiac shock during hospitalization (Table 3). However, the results of our study demonstrated that the sensitivity and specificity of the cut-off of age, PaO2 or PaCO2, and pH was not relevant for predicting the probability of mortality and survival (Fig. 2A, B). Previous studies have suggested that age, low oxygen saturation, and co-morbid chronic diseases were also risk factors for the increased prevalence of mortality in COVID-19 patients [4648]. By univariate regression analysis, the present study also indicated that age > 65 years, history of cardiovascular disease, thrombocytopenia (< 137.109/l), hypoxia (PaO2 < 63 mmHg), or acidosis (pH < 7.28) were the relative risks of mortality in patients with severe–critical COVID-19 (Table 4). This result was also confirmed by analyzing the mortality and survival of study patients via Kaplan–Meier curves (Fig. 4A, B, and C). Recently, Lavrentieva et al. have reported that the survival rates inside the ICU for the four main COVID-19 variants are 54.9, 50.3, 39.7, and 50% for the alpha, beta, delta, and omicron variants, respectively [49]. These authors also demonstrated the parameters that have been independently associated with ICU survival are SOFA (Sequential Organ Failure Assessment)–day 1, remdesivir use, AKI (acute kidney injury), sepsis, enteral insufficiency, duration of ICU stay and white blood cells. Our previous reports also revealed the severity of patients hospitalized in ICU who needed to have the optimal treatment with mechanical ventilation or therapeutic plasma exchange were related to AKI, pregnancy, and acute neurological complications [5053].
Finally, the present study has some main limitations, as described in the following order: a small number of study subjects; patients were included only for a descriptive study without a control group; the choice of low to high corticosteroid doses was dependent on the physicians’ decisions. However, this study does give some relevant information, which elucidates the predictive factors of mortality and survival for severe–critical COVID-19 patients and provides the primary data for clinicians to classify COVID-19 patients on admission and have appropriate treatment.

Conclusions

Common clinical symptoms, laboratory features, and death-related complications of critical-severe COVID-19 patients were found in Vietnamese patients during the fourth wave of the COVID-19 pandemic. This population might have some clinical characteristics and predictive factors of high risk of death and survival for those with severe and critical COVID-19. Thus, the present study suggests that during the fourth wave of the COVID-19 pandemic, the patients with severe and critical COVID-19 who were older or had the medical history of cardiovascular disease or treatment with high dose of corticosteroids, might increase the rate of mortality during hospitalization. In addition, some laboratory features such as thrombocytopenia at admission, significant hypoxia, or blood acidosis under optimal treatment in patients with severe and critical COVID-19 might also be considered as the relevant predictive factors of mortality. Therefore, these findings may provide valuable insights into developing effective treatment regimens and prognostic indicators for the survival of patients with severe and critical COVID-19.

Acknowledgements

Funding

This study was funded by the Sciences and Technology Department of Binh Duong province (No. 1539/QD-UBND.28.6.2022). The Rapid Service Fee was funded by the authors.

Author Contributions

The literature search was performed by Sy Duong-Quy, Duc Huynh-Truong-Anh, Tien Nguyen-Quang, Thanh Nguyen-Thi-Kim, Thuy Tran-Ngoc-Anh, Nam Nguyen-Van-Hoai, Mai Do-Thi-Thu, Tram Tang-Thi-Thu, Anh Nguyen-Tuan, and Toi Nguyen-Van with significant contributions from Quan Nguyen-Hoang, Phung Hoang-Phi-Tuyet, Vinh Nguyen-Nhu, Hieu Nguyen-Lan, Sy Dinh-Ngoc, Dung Truong-Viet, and Thai Nguyen-Duy. Data collection was done by Sy Duong-Quy, Duc Huynh-Truong-Anh, Tien Nguyen-Quang, Thanh Nguyen-Thi-Kim, Thanh Nguyen-Chi, Thuy Tran-Ngoc-Anh, Nam Nguyen-Van-Hoai, and Mai Do-Thi-Thu. All authors contributed equally to the analysis and interpretation of data of the case report. Sy Duong-Quy, Duc Huynh-Truong-Anh, Tien Nguyen-Quang, Thanh Nguyen-Thi-Kim, Thuy Tran-Ngoc-Anh, Nam Nguyen-Van-Hoai, Mai Do-Thi-Thu, Tram Tang-Thi-Thu, Anh Nguyen-Tuan, Toi Nguyen-Van, and Thai Nguyen-Duy drafted the manuscript, with significant contributions from Quan Nguyen-Hoang, Vinh Nguyen-Nhu, Phung Hoang-Phi-Tuyet, Hieu Nguyen-Lan, Sy Dinh-Ngoc, and Dung Truong-Viet.

Disclosures

Sy Duong-Quy, Duc Hunyh-Truong-Anh, Tien Nguyen-Quang, Thanh Nguyen-Thi-Kim, Thuy Tran-Ngoc-Anh, Nam Nguyen-Van-Hoai, Mai Do-Thi-Thu, Tram Tang-Thi-Thu, Anh Nguyen-Tuan, and Toi Nguyen-Van, Phung Hoang-Phi-Tuyet, Quan Nguyen-Hoang, Vinh Nguyen-Nhu, Hieu Nguyen-Ian, Chuong Nguyen-Hong, Sy Dinh, Ngoc, Thai Nguyen-Duy and Dung Truong-Viet have nothing to disclose.

Compliance with Ethics Guidelines

This study was approved by the Ethics Committee of Binh Duong General Hospital (HDDD-BVDK BINH DUONG 09.2021). Written informed consent was obtained from the participants or their family for the study and publication.

Data Availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by-nc/​4.​0/​.
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Metadaten
Titel
Predictive Factors of Mortality in Patients with Severe COVID-19 Treated in the Intensive Care Unit: A Single-Center Study in Vietnam
verfasst von
Sy Duong-Quy
Duc Huynh-Truong-Anh
Thanh Nguyen-Thi-Kim
Tien Nguyen-Quang
Thuy Tran-Ngoc-Anh
Nam Nguyen-Van-Hoai
Mai Do-Thi-Thu
Thanh Nguyen-Chi
Toi Nguyen-Van
Tram Tang-Thi-Thao
Anh Nguyen-Tuan
Quan Nguyen-Hoang
Phung Hoang-Phi-Tuyet
Giap Vu-Van
Hieu Nguyen-Lan
Chuong Nguyen-Hong
Sy Dinh-Ngoc
Dung Truong-Viet
Vinh Nguyen-Nhu
Thai Nguyen-Duy
Publikationsdatum
07.07.2023
Verlag
Springer Healthcare
Erschienen in
Pulmonary Therapy / Ausgabe 3/2023
Print ISSN: 2364-1754
Elektronische ISSN: 2364-1746
DOI
https://doi.org/10.1007/s41030-023-00231-1

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