Literature DB >> 35764477

Association between tracheostomy and survival in patients with coronavirus disease 2019 who require prolonged mechanical ventilation for more than 14 days: A multicenter cohort study.

Aiko Tanaka1, Akinori Uchiyama2, Tetsuhisa Kitamura3, Ryota Sakaguchi2, Sho Komukai4, Yusuke Enokidani2, Yukiko Koyama2, Takeshi Yoshida2, Naoya Iguchi2, Tomotaka Sobue3, Yuji Fujino2.   

Abstract

OBJECTIVE: Tracheostomy is a common procedure with potential prognostic advantages for patients who require prolonged mechanical ventilation (PMV). Early recommendations for patients with coronavirus disease 2019 (COVID-19) suggested delayed or limited tracheostomy considering the risk for viral transmission to clinicians. However, updated guidelines for tracheostomy with appropriate personal protective equipment have revised its indications. This study aimed to evaluate the association between tracheostomy and prognosis in patients with COVID-19 requiring PMV.
METHODS: This was a multicenter, retrospective cohort study using data from the nationwide Japanese Intensive Care PAtient Database. We included adult patients aged ≥16 years who were admitted to the intensive care unit (ICU) due to COVID-19 and who required PMV (for >14 days or until performance of tracheostomy). The primary outcome was hospital mortality, and the association between implementation of tracheostomy and patient prognosis was assessed using weighted Cox proportional hazards regression analysis with inverse probability of treatment weighting (IPTW) using the propensity score to address confounders.
RESULTS: Between January 2020 and February 2021, 453 patients with COVID-19 were observed. Data from 109 patients who required PMV were analyzed: 66 (60.6%) underwent tracheostomy and 38 (34.9%) died. After adjusting for potential confounders using IPTW, tracheostomy implementation was found to significantly reduce hospital mortality (hazard ratio [HR]: 0.316, 95% confidence interval [CI]: 0.163-0.612). Patients who underwent tracheostomy had a similarly decreased ICU and 28-day mortality (HR: 0.269, 95% CI: 0.124-0.581; HR 0.281, 95% CI: 0.094-0.839, respectively). A sensitivity analysis using different definitions of PMV duration consistently showed reduced mortality in patients who underwent tracheostomy.
CONCLUSION: The implementation of tracheostomy was associated with favorable patient prognosis among patients with COVID-19 requiring PMV. Our findings support proactive tracheostomy in critically ill patients with COVID-19 requiring mechanical ventilation for >14 days.
Copyright © 2022. Published by Elsevier B.V.

Entities:  

Keywords:  COVID-19; Mechanical ventilation; Prognosis; Tracheostomy

Year:  2022        PMID: 35764477      PMCID: PMC9189113          DOI: 10.1016/j.anl.2022.06.002

Source DB:  PubMed          Journal:  Auris Nasus Larynx        ISSN: 0385-8146            Impact factor:   2.119


Introduction

Tracheostomy is widely acknowledged as an essential procedure for patients undergoing mechanical ventilation (MV) due to acute respiratory failure. It is considered a safer alternative to long-term translaryngeal endotracheal intubation, which may cause subglottic and laryngeal stenosis [1,2] and spread of bacterial species from the oropharynx to the lower respiratory tract, leading to ventilator-associated pneumonia [3]. In addition, tracheostomy requires less sedative administration to improve patient comfort and reduce airway resistance [4,5]. These benefits contribute to favorable outcomes in patients who undergo early tracheostomy [6]. Patients with coronavirus disease 2019 (COVID-19) have a high rate of need for MV (range: 9.8% to 17.2% of all cases) [7], [8], [9]. Persistent viral infections tend to require prolonged MV (PMV), further underlining the importance of tracheostomy [10,11]. Therefore, the optimal clinical practice related to tracheostomy in patients with COVID-19 has been investigated. Earlier studies reported the risk for surgical providers to be directly exposed to the virus via aerosols during the procedure; therefore, international guidelines recommend delayed tracheostomy and extended MV with translaryngeal endotracheal intubation for at least 14 days or until a negative polymerase chain reaction result [12], [13], [14]. However, after a year into the COVID-19 pandemic, the risk of transmission of the virus to healthcare staff has been reported to be negligible with proper use of personal protective equipment [15], [16], [17]. Moreover, a safe tracheostomy procedure has been established [18], and proactive and aggressive implementation of tracheostomy within 14 days after COVID-19 infection is again being considered [19,20]. Therefore, using the nationwide Japanese Intensive Care PAtient Database (JIPAD), we evaluated the impact of performing tracheostomy on patient outcomes among critically ill COVID-19 patients who require PMV.

Materials and methods

The Research Ethics Committee of the Osaka University in Osaka, Japan, approved this study protocol (approval number: 20531) and waived the need for informed consent.

Study design and population

This multicenter retrospective cohort study involved adult (aged ≥16 years) COVID-19 ICU admissions in the JIPAD. The JIPAD is a large dataset of patients who had been admitted to the ICU and established in 2014. It comprises 89 ICUs and approximately 178,000 patients as of November 2020. Its data collection is similar to that of the Australian and New Zealand Intensive Care Society Adult Patient Database (ANZICS APD), based on a partnership agreement between the Japanese Society of Intensive Care Medicine and ANZICS Center for Outcome and Resource Evaluation. A detailed description of the JIPAD has been previously published [21]. All patient records registered in the JIPAD between January 2020 and February 2021 were screened for inclusion in this study. COVID-19 diagnosis was laboratory-confirmed and was inferred from the ICU admission diagnosis related to viral pneumonia according to the APACHE III scoring system [22] or from the free text diagnosis for COVID-19. With the unanimous confirmation by three physicians from the JIPAD working group, COVID-19 diagnosis was defined as the diagnosis of COVID-19 in the ICU admission. In this study, we included adult patients who had been admitted to the ICU with a diagnosis of COVID-19 and who required PMV. Based on recent reports on the performance of a tracheostomy within 14 days, PMV was defined as MV for >14 days or tracheostomy during the ICU stay.

Data extraction

Detailed information on sociodemographic variables, comorbidities, severity at ICU admission, biochemical data, treatment in the ICU, and outcomes, are reported and registered for all ICU admissions in the ICUs that contribute to the JIPAD. The following data were extracted for this study: age; sex; body mass index; comorbidities (chronic heart failure, chronic respiratory failure, liver cirrhosis, liver failure, acute leukemia/multiple myeloma, lymphoma, metastatic cancer, immunosuppression, acquired immunodeficiency syndrome, and maintenance dialysis: [yes, no]); emergency admission (yes, no); admission source (emergency department, ward or other care units, or transferred from another hospital); wave; APACHE II and III scores; Sequential Organ Failure Assessment score at ICU admission; length of hospital stay before ICU admission; data within 24 h after ICU admission (heart rate, body temperature, respiratory rate, serum blood sugar, creatinine, lactate, urine output, incidence of acute kidney injury [yes, no], lowest ratio of arterial oxygen partial pressure to fractional inspired oxygen [PaO2/FIO2], partial pressure of carbon dioxide, pH, and Glasgow Coma Scale); ICU treatment (venovenous extracorporeal membrane oxygenation [VV-ECMO] [yes, no], venoarterial [VA-] ECMO [yes, no], and continuous renal replacement therapy [CRRT] [yes, no]); length of ICU stay before MV commencement; duration of MV before tracheostomy; type of tracheostomy procedure (surgical, percutaneous, unknown); MV duration in the ICU; ventilator liberation during ICU stay (yes, no); length of ICU and hospital stay; ICU, 28-day, and hospital mortality (yes, no); and hospital outcome (death, discharge, or transfer to another hospital). Liver cirrhosis or liver failure was considered chronic liver disease in this study. Comorbidities, such as acute leukemia/multiple myeloma, lymphoma, and metastatic cancer, were defined as malignancies. Patients with immunosuppression and acquired immunodeficiency syndrome were considered to have an immunodeficiency. Furthermore, according to the domestic definition, the COVID-19 waves were categorized into first (until May 2020), second (June to September 2020), and third waves (October 2020 onwards) [23].

Outcomes

The primary outcome of this study was in-hospital mortality. The secondary outcomes were ICU and 28-day mortality rates.

Statistical analyses

Continuous variables are expressed as medians and interquartile ranges (IQRs); they were compared between the groups using the Mann–Whitney U test. Categorical variables are expressed as numbers and percentages; they were compared between the groups using the chi-square test or Fisher's exact test, as appropriate. To determine the relationships between the implementation of the tracheostomy and hospitalization, ICU, and 28-day mortality rates, we constructed univariable and multivariable Cox proportional hazards regression models and calculated crude and adjusted hazard ratios (HRs) and their 95% confidence intervals (CIs). Age (1-year increment), sex (male, female), APACHE II score (1-point increment), and the use of ECMO (VV-ECMO or VA-ECMO) during ICU stay (yes, no) were added to the multivariable model to adjust for potential confounders. Furthermore, we added weighted Cox proportional hazards regression models with inverse probability of treatment weighting (IPTW) [24] to eliminate possible erroneous effect estimates and biased CIs due to the nature of observational studies. In the IPTW method, patients were assigned weights based on the inverse of the probability of receiving treatment, as estimated by the propensity score calculated using multivariate logistic regression analysis based on potentially relevant covariates presented in Supplemental Digital Content 1. Simulated populations were formed in which patients who underwent tracheostomy were weighted by the inverse of the propensity score, and patients who required PMV without tracheostomy were weighted by the inverse of 1 - propensity score. The average treatment effect estimate was then obtained by reweighting the study population to assess the effect of treatment if all patients in the population were provided with the treatment. The balance of covariates between the original cohort and cohort adjusted using IPTW was ascertained by comparing the standardized mean difference (SMD). An SMD <0.10 indicated a lack of imbalance between the two groups. We also conducted a subgroup analysis stratified by severity of illness using median APACHE II score in this cohort. The interaction effects between the implementation of tracheostomy and subgroup of mortality were assessed using a multivariable Cox proportional hazards regression model. Moreover, we conducted sensitivity analyses to further evaluate the association between tracheostomy and patient prognosis, using variations in the definition of PMV duration (7, 10, and 18 days). All statistical results were considered statistically significant at a two-sided level of 0.05. The statistical software, R (version 4.0.4;2021, R Foundation for Statistical Computing, Vienna, Austria), was used for all statistical analyses.

Results

Study participants

Data originating from 41 ICUs and pertaining to 453 adult ICU admissions with a diagnosis of COVID-19 were recorded in the JIPAD from January 2020 to February 2021. Among the 335 patients who required MV, 226 were liberated from MV within 14 days without them undergoing tracheostomy. We included 109 patients who required PMV; of those, 66 (60.6%) underwent tracheostomy and 43 (39.4%) received PMV for >14 days without tracheostomy (Fig. 1 ). The median age of the patients who required PMV was 69 (IQR: 63–76) years, 76.1% were male, and the median APACHE II score was 19 (IQR: 15–24) (Table 1 ). The baseline characteristics at ICU admission were similar in both groups. As for the data within 24 h after ICU admission, patients who underwent tracheostomy were more likely to have lower maximum blood glucose levels and higher pH with similar PaO2/FIO2 (136 [109-183] vs. 124 [86-178], p = 0.194) than patients who received PMV without tracheostomy.
Figure 1

Flow chart of patient selection

COVID-19, coronavirus disease; MV, mechanical ventilation; PMV, prolonged mechanical ventilation.

Table 1

Patient characteristics and data within 24 h after intensive care unit admission.

CharacteristicsAll (n = 109)PMV withouttracheostomy (n = 43)Tracheostomy (n = 66)p value
Age, years69 (63–76)72 (63.5–77)68 (63–73)0.155
Male sex83/109 (76.1%)32/43 (74.4%)51/66 (77.3%)0.911
Body mass index, kg/m224.8 (22.6–27.9)25.5 (23.0–29.0)24.1 (22.4–26.8)0.116
Comorbidity
 Heart failure0/109 (0%)0/43 (0%)0/66 (0%)N/A
 Respiratory failure2/109 (1.8%)1/43 (2.3%)1/66 (1.5%)1.000
 Chronic liver disease0/109 (0%)0/43 (0%)0/66 (0%)N/A
 Malignancy3/109 (2.8%)0/43 (0%)3/66 (4.5%)0.277
 Immunodeficiency9/109 (8.3%)3/43 (7.0%)6/66 (9.1%)1.000
 Maintenance dialysis6/109 (5.5%)4/43 (9.3%)2/66 (3.0%)0.210
Emergency admission106/109 (97.2%)41/43 (95.3%)65/66 (98.5%)0.561
Admission source
 Emergency department26/109 (23.9%)11/43 (25.6%)15/66 (22.7%)0.746
 Ward or other care units35/109 (32.1%)15/43 (34.9%)20/66 (30.3%)
 Transferred from another hospital48/109 (44.0%)17/43 (39.5%)31/66 (47.0%)
Wave
 First (–May 2020)53/109 (48.6%)20/43 (46.5%)33/66 (50.0%)0.914
 Second (June–September 2020)18/109 (16.5%)7/43 (16.3%)11/66 (16.7%)
 Third (October 2020 onwards)38/109 (34.9%)16/43 (37.2%)22/66 (33.3%)
APACHE II score19 (15–24)20 (16–25)18 (14–23)0.106
APACHE III score70 (56–89)73 (63–94)65 (54–85)0.063
SOFA score at ICU admission7 (5–10)8 (6.5–10)7 (5–9)0.096
Length of hospital stay before ICU admission, days0 (0–1)0 (0–1)0 (0–1.8)0.997
Data within 24 h after ICU admission
 Highest heart rate, /min102 (91–121)102 (93–124)101 (91–115)0.239
 Lowest heart rate, /min63 (54–70)63 (55–70)62 (52–72)0.838
 Highest body temperature,°C37.6 (37.1–38.7)37.4 (37.1–38.7)37.8 (37.1–38.6)0.333
 Lowest body temperature,°C36.2 (35.7–36.8)36 (35.4–36.6)36.4 (35.8–36.8)0.109
 Highest respiratory rate, /min27 (24–32)27 (23–32)28 (24–32)0.723
 Lowest respiratory rate, /min14 (10–16)14 (11–17)14 (10–16)0.938
 Highest blood sugar level, mg/dL218 (162–275)252 (206–314)200 (143–239)<0.001
 Lowest blood sugar level, mg/dL124 (108–150)130 (114–163)124 (106–142)0.110
 Highest creatinine level, mg/dL0.91 (0.69–1.27)1.02 (0.69–1.50)0.82 (0.68–1.12)0.179
 Lactate, mmol/L1.5 (1.1–2.1)1.5 (1.2–2.0)1.5 (0.9–2.1)0.569
 Urine output, mL/day1178 (828–1978)1138 (820–1673)1230 (855–2030)0.385
 Incidence of AKI2/109 (1.8%)2/43 (4.7%)0/66 (0%)0.153
 Lowest PaO2/FIO2 ratio130 (98–181)124 (86–178)136 (109–183)0.194
 Highest PaCO2, mmHg49.3 (44.1–58.4)53.2 (45.3–58.6)48.5 (43.9–56.4)0.253
 Lowest PaCO2, mmHg36.4 (32.2–40)35.7 (31.3–39.2)36.7 (32.2–40.1)0.390
 Highest pH7.44 (7.40–7.47)7.42 (7.37–7.46)7.45 (7.41–7.48)0.049
 Lowest pH7.32 (7.27–7.37)7.29 (7.24–7.34)7.34 (7.27–7.39)0.011
 GCS15 (13–15)15 (14–15)15 (13–15)0.834

Data are presented as medians and interquartile ranges or numbers (percentages)

p values were analyzed using the Chi-square (Fisher's exact) test or Mann-Whitney U test

AKI, acute kidney injury; APACHE, Acute Physiology and Chronic Health Evaluation; GCS, Glasgow Coma Scale; ICU, intensive care unit; PaO ratio of arterial oxygen partial pressure (PaO2) to fractional inspired oxygen (FIO2), PMV, prolonged mechanical ventilation, SOFA, Sequential Organ Failure Assessment

Flow chart of patient selection COVID-19, coronavirus disease; MV, mechanical ventilation; PMV, prolonged mechanical ventilation. Patient characteristics and data within 24 h after intensive care unit admission. Data are presented as medians and interquartile ranges or numbers (percentages) p values were analyzed using the Chi-square (Fisher's exact) test or Mann-Whitney U test AKI, acute kidney injury; APACHE, Acute Physiology and Chronic Health Evaluation; GCS, Glasgow Coma Scale; ICU, intensive care unit; PaO ratio of arterial oxygen partial pressure (PaO2) to fractional inspired oxygen (FIO2), PMV, prolonged mechanical ventilation, SOFA, Sequential Organ Failure Assessment

Processes of care during ICU stay and adjustment of patient demographics

The care process in the ICU is shown in Table 2 . VV-ECMO was performed in 28.8% of patients who underwent tracheostomy, which was similar to the proportion of those who received PMV without tracheostomy (23.3%, p = 0.658). There was also no significant difference in the proportion of patients who received VA-ECMO and CRRT between the two groups. Tracheostomy was performed at a median of 15 (IQR: 10.5–21.5) days after the commencement of MV. Thirty-five patients (53%) underwent surgical tracheostomy, and 26 (39.4%) underwent percutaneous tracheostomy. Patients who required PMV and who underwent tracheostomy were identified in 27 and 21 ICUs, respectively; the differences between these institutions were not significant (Supplemental Digital Content 1). Furthermore, the potential confounders (age, sex, APACHE II score, and the use of ECMO during ICU stay) were adjusted using IPTW, and the adjusted cohort had SMDs of <0.10 for each covariate. No between-group differences were observed (Supplemental Digital Content 2).
Table 2

Intensive care unit treatment.

VariablesAllPMV withouttracheostomyTracheostomyp value
VV-ECMO29/109 (26.6%)10/43 (23.3%)19/66 (28.8%)0.658
VA-ECMO3/109 (2.8%)1/43 (2.3%)2/66 (3.0%)1.000
CRRT35/109 (32.1%)17/43 (39.5%)18/66 (27.3%)0.211
Length of ICU stay before MV commencement, days0 (0–0)0 (0–0)0 (0–0)0.095
Duration of MV before tracheostomy, days15 (10.5–21.5)-15 (10.5–21.5)N/A
Procedure of tracheostomy
 Surgical tracheostomy35/109 (32.1%)-35/66 (53.0%)N/A
 Percutaneous tracheostomy26/109 (23.9%)-26/66 (39.4%)
 Unknown5/109 (4.6%)-5/66 (7.6%)

Data are presented as medians and interquartile ranges or numbers (percentages).

P values were analyzed using the chi-square (Fisher's exact) test or Mann-Whitney U test.

CRRT, continuous renal replacement therapy; ICU, intensive care unit; MV, mechanical ventilation; PMV, prolonged mechanical ventilation; VA-ECMO, venoarterial extracorporeal membrane oxygenation; VV-ECMO, venovenous extracorporeal membrane oxygenation

Intensive care unit treatment. Data are presented as medians and interquartile ranges or numbers (percentages). P values were analyzed using the chi-square (Fisher's exact) test or Mann-Whitney U test. CRRT, continuous renal replacement therapy; ICU, intensive care unit; MV, mechanical ventilation; PMV, prolonged mechanical ventilation; VA-ECMO, venoarterial extracorporeal membrane oxygenation; VV-ECMO, venovenous extracorporeal membrane oxygenation

Clinical outcomes

The durations of MV and ICU stay were similar between patients who underwent tracheostomy and those who received PMV without tracheostomy (Table 3 ). In contrast, patients who underwent tracheostomy had a longer hospital stay than those who did not undergo tracheostomy and required PMV (35 [23–49.5] vs. 49.5 [31.5–77.5] days, respectively; p = 0.011). Of the 109 patients with COVID-19 who required PMV, 21 (19.3%) were discharged alive, 50 (45.9%) were transferred to other hospitals, and 38 (34.9%) died. Hospital mortality was significantly lower in patients who underwent tracheostomy than in those who received PMV without tracheostomy (48.8% vs. 25.8%, p = 0.023). A similar trend was observed for ICU and 28-day mortality rates (p = 0.014 and p = 0.022, respectively).
Table 3

Patient outcomes.

VariablesAllPMV without tracheostomyTracheostomyp value
MV duration in ICU, days24.6 (18.0–41.0)20.4 (16.8–30.9)27.0 (19.9–41.7)0.081
ICU mortality28/109 (25.7%)17/43 (39.5%)11/66 (16.7%)0.014
Length of ICU stay, days27.9 (20.4–44.2)26.9 (19.2–37.0)33.9 (21.7–48.6)0.094
Ventilator liberation during ICU stay59/109 (54.1%)23/43 (53.5%)36/66 (54.5%)1.000
28-day mortality15/92 (16.3%)10/36 (27.8%)5/56 (8.9%)0.022
Hospital outcome
 Death38/109 (34.9%)21/43 (48.8%)17/66 (25.8%)0.046
 Discharge21/109 (19.3%)7/43 (16.3%)14/66 (21.2%)
 Transfer to another hospital50/109 (45.9%)15/43 (34.9%)35/66 (53.0%)
Hospital mortality38/109 (34.9%)21/43 (48.8%)17/66 (25.8%)0.023
Length of hospital stay, day41 (23–66)35 (23–49.5)49.5 (31.5–77.5)0.011

Data are presented as medians and interquartile ranges or numbers (percentages).

P values were analyzed using the chi-square (Fisher's exact) test or Mann-Whitney U test.

ICU, intensive care unit; MV, mechanical ventilation; PMV, prolonged mechanical ventilation.

Patient outcomes. Data are presented as medians and interquartile ranges or numbers (percentages). P values were analyzed using the chi-square (Fisher's exact) test or Mann-Whitney U test. ICU, intensive care unit; MV, mechanical ventilation; PMV, prolonged mechanical ventilation.

Impact of Tracheostomy

Tracheostomy was significantly associated with decreased hospital mortality (crude HR: 0.347, 95% CI: 0.179–0.670, p = 0.002) (Table 4 ). Similar associations were observed between tracheostomy and ICU mortality (crude HR: 0.277, 95% CI: 0.126–0.611, p = 0.001) and 28-day mortality (crude HR: 0.304, 95% CI: 0.104–0.889, p = 0.030). Supplemental Digital Content 3 shows the association between tracheostomy and mortality in this cohort when divided into two groups based on the median APACHE II scores. Similar trends were observed regardless of severity of illness at ICU admission (p values for interaction ≥0.05). After adjusting for confounding factors, the multivariable analysis demonstrated a reduction in mortality with tracheostomy (adjusted HR for hospital mortality: 0.413, 95% CI: 0.210–0.814, p = 0.011). The Cox proportional hazards regression analysis after adjustment with IPTW showed that patients who underwent tracheostomy had a lower risk for hospital mortality (HR: 0.316, 95% CI: 0.163–0.612, p <0.001), as well as ICU and 28-day mortality when compared with those who received PMV without tracheostomy.
Table 4

Association between tracheostomy and clinical outcomes: Cox regression analysis.

OutcomesOriginal cohort
IPTW
Crude HR (95% CI)p valueAdjusted HR (95% CI) ap valueCrude HR (95% CI)p value
ICU mortality0.277 (0.126–0.611)0.0010.312(0.134–0.725)0.0070.269(0.124–0.581)<0.001
28-day mortality0.304(0.104–0.889)0.0300.322(0.108–0.958)0.0420.281(0.094–0.839)0.023
Hospital mortality0.347(0.179–0.670)0.0020.413(0.210–0.814)0.0110.316(0.163–0.612)<0.001

APACHE, Acute Physiology and Chronic Health Evaluation; CI, confidence interval; ECMO, extracorporeal membrane oxygenation; HR, hazard ratio; ICU, intensive care unit; IPTW, Inverse Probability Treatment Weighting; VA-ECMO, venoarterial extracorporeal membrane oxygenation; VV-ECMO, venovenous extracorporeal membrane oxygenation.

Adjusted HR for age, sex, APACHE II score, and the use of ECMO (VV-ECMO or VA-ECMO) during ICU stay.

Association between tracheostomy and clinical outcomes: Cox regression analysis. APACHE, Acute Physiology and Chronic Health Evaluation; CI, confidence interval; ECMO, extracorporeal membrane oxygenation; HR, hazard ratio; ICU, intensive care unit; IPTW, Inverse Probability Treatment Weighting; VA-ECMO, venoarterial extracorporeal membrane oxygenation; VV-ECMO, venovenous extracorporeal membrane oxygenation. Adjusted HR for age, sex, APACHE II score, and the use of ECMO (VV-ECMO or VA-ECMO) during ICU stay. The clinical outcomes of the various statistical methods are summarized in Supplemental Digital Content 4. Among the 149 patients who required MV for >10 days or who underwent tracheostomy, decreased hospital mortality was significantly associated with tracheostomy (crude HR: 0.386, 95% CI: 0.205–0.727, p = 0.003). Similar associations were observed among the 95 patients who required MV for >18 days or who underwent tracheostomy (crude HR for hospital mortality: 0.327, 95% CI: 0.164–0.653, p = 0.002). Moreover, sensitivity analyses indicated that the prognosis was consistently favorable for patients who underwent tracheostomy, irrespective of the statistical method or PMV duration. Similar trends were observed in evaluations using the PMV definition of >7 days in addition to 14 ± 4 days (among 190 patients, crude HR for hospital mortality: 0.471, 95% CI: 0.252–0.882, p = 0.019).

Discussion

Key findings

Using the JIPAD registry, we conducted a multi-institutional observational study involving critically ill COVID-19 patients who required PMV. We found that approximately 60% of the patients underwent tracheostomy during their ICU stay. Our data revealed that the implementation of tracheostomy was associated with lower mortality in patients with COVID-19 who required PMV for >14 days. The clinical advantage of performing tracheostomy was reinforced with the adjustments using the IPTW method and sensitivity analyses with different PMV durations. These findings could help improve the prognosis of critically ill patients with COVID-19.

Relationship with previous studies

Critically ill patients who underwent MV due to COVID-19 have been reported to have high mortality rates (28–53%) in large cohorts [8,9,25,26]. These previous findings are similar to those from our ICU database, with the hospital mortality rate for patients requiring PMV for >14 days being as high as 34.9%. In a multicenter prospective cohort study using propensity score matching that was conducted using data from 50 countries, among patients with acute respiratory distress syndrome, those who underwent tracheostomy reportedly had significantly lower 28-day hospital mortality rates than those who did not undergo tracheostomy [27]. Consequently, the potential improvement of outcomes caused by implementation of tracheostomy in COVID-19 patients has been investigated and described in several case series since the outbreak of the pandemic [16,17,28,29]. Conventional international consensus recommends MV via translaryngeal endotracheal intubation for patients with an expected MV duration <10 days and transition to tracheostomy for those with an expected MV duration of >21 days [30]. As numerous reports have shown that early tracheostomy is associated with improved patient outcomes [6,31], tracheostomy is widely considered to be performed within 1–2 weeks after MV initiation in critical care settings [32], [33], [34]. However, excessive concerns about the risk of viral transmission to clinicians have been noted, and global guidelines recommend delaying tracheostomy for at least 2–3 weeks after intubation during a pandemic [12], [13], [14],[35], [36], [37]. Consequently, hesitation in performing tracheostomy reportedly resulted in the development of dysphonia, dysphagia, and airway stenosis among patients [38,39]. After approximately 1 year of experience with the COVID-19 pandemic, accumulated evidence on procedural guidelines for tracheostomy and its appropriate safety has been summarized in an updated review article [20]. In addition, a large descriptive study involving COVID-19 patients who underwent tracheostomy was recently reported in Spain [40]. A follow-up of 1 month for 1890 patients across 120 hospitals showed a low mortality rate (23.7%). Furthermore, surgeons performing tracheostomies at a median of 12 days post-intubation presented no symptoms for 2 weeks after the procedure and were proven to be antibody-negative. Based on these emerging reports, the recommendation for expeditious implementation of tracheostomy is now advocated again, regardless of whether the patient is COVID-19-positive or negative [41]. In a single-center prospective cohort study of 164 COVID-19 patients who required MV, tracheostomy was reported in 100 (61%) patients [19]. Despite similar baseline characteristics, patients who underwent tracheostomy showed a significantly higher 30-day survival rate than those who did not (85% vs. 42%, relative risk: 3.9, 95% CI: 2.3–6.4). The study also showed that aggressive tracheostomy implementation within 14 days was associated with a significantly shorter mean MV duration (21 vs. 27 days) and shorter mean ICU stay (23 vs. 30 days). Similarly, the present study found that 60.6% of critically ill COVID-19 patients who required PMV underwent tracheostomy, providing definitive evidence of the favorable effect of tracheostomy on mortality. Hospital mortality significantly reduced in patients who underwent tracheostomy (crude HR: 0.347, p = 0.002), and the benefit was supported by adjustments in patient characteristics and the sensitivity analysis. However, the patients in our study who underwent tracheostomy did not have a shorter duration of MV in the ICU or short ICU or hospital stays. Approximately half of the patients with COVID-19 who required PMV were transferred to other hospitals; they are more than the 23.8% of critically ill adults transferred to other hospitals in the JIPAD report before the COVID-19 pandemic [21]. Moreover, the nationwide shortage of ICU beds could have influenced the timing of discharge and transfers [42]. Hence, the impact of tracheostomy on the duration of treatment remains unclear.

Implementation of tracheostomy in ICUs

In critical care settings, tracheostomy is performed to accelerate liberation from MV. Tracheostomy is recommended in patients with anticipated PMV; however, prediction of the required duration of MV has no well-defined rule [43]. Additionally, tracheotomy may also be performed due to upper airway obstruction, laryngeal edema, or viscous secretions and its indication may be a comprehensive decision by a multidisciplinary team [44,45]. These issues make it challenging to conduct appropriate investigations regarding the impact of tracheostomy. In this study, patients who underwent tracheostomy demonstrated a significantly more favorable prognosis compared to those who did not, after adjusting for potential confounders, with a median observed in-hospital survival of 28 (IQR 15.5–54.5) days after its implementation. There were no nationwide specified indications for performing tracheostomy during the study period and the individual reasons for tracheostomy were not noted in our database. However, tracheostomy in patients requiring PMV was performed with no inter-institutional differences, and tracheostomy rates for each epidemic wave were similar during the observation period. Furthermore, patients who underwent tracheostomy had similar severity of illness on admission to the ICU and treatment (ECMO or CRRT) during their stay in the ICU to those who did not. In the analysis stratified by APACHE II score, the two groups showed similar trends for either mortality rate, although the P values for Crude HR were ≥0.05 for 28-day mortality with missing data (n = 92/109). These suggest that the decision to perform tracheostomy depended on other factors (risk of infection exposure for clinicians and availability of the procedure), rather than the patient's clinical condition. Moreover, this study was conducted as an association study of tracheostomy and patient outcomes in COVID-19 patients requiring PMV, and it did not determine the optimal timing of tracheostomy. The timing of tracheostomy has been under investigation, especially recently, and the advantages of early tracheostomy have been reported in some studies [[46], [47], [48]]. Therefore, the results of this nationwide database-based study in Japan provides a firm basis for future investigations regarding the criteria for performing tracheostomy.

Implications of study findings

Our findings imply that the implementation of tracheostomy may lead to a more favorable prognosis in critically ill patients with COVID-19 who require PMV. Tracheostomy itself is a standard procedure and should be adequately performed in ICUs in patients with COVID-19 in accordance with the relevant guidelines. Considering the significance of the present results, the indication for this appropriate procedure should be aggressively assessed by a multidisciplinary team in patients with COVID-19 who have an expected MV duration of >14 days.

Strengths and limitations

This study had several strengths and limitations. Having used a nationwide ICU database, the study is representative of a large number of institutions and thus has a broad generalizability. The primary limitation of this study was that it was a retrospective observational study. The study results are prone to misinterpretation and residual confounding. Second, the sample size and number of events were limited, despite the use of a registry involving numerous institutions. Third, the indications and procedures for tracheostomy were not protocolized, and the possible potential confounders precluded us from considering the detailed timing of tracheostomy. Fourth, the registry did not include information on the respiratory status or concomitant therapy at the time of tracheostomy, or detailed conditions at the varying institutions—such as medical resources.

Conclusions

According to analyses of data from the JIPAD registry, tracheostomy was significantly associated with reduced mortality in patients who required PMV due to COVID-19. Our findings provide firm evidence to endorse the proactive implementation of tracheostomy in critically ill COVID-19 patients who require PMV. These findings should be confirmed in further controlled trials.

Declaration of Competing Interest

The authors have reported that no support, including grants, equipment, or drugs, was received for this study.
  47 in total

1.  Marginal structural models and causal inference in epidemiology.

Authors:  J M Robins; M A Hernán; B Brumback
Journal:  Epidemiology       Date:  2000-09       Impact factor: 4.822

2.  Impact of tracheotomy on sedative administration, sedation level, and comfort of mechanically ventilated intensive care unit patients.

Authors:  Ania Nieszkowska; Alain Combes; Charles-Edouard Luyt; Hichem Ksibi; Jean-Louis Trouillet; Claude Gibert; Jean Chastre
Journal:  Crit Care Med       Date:  2005-11       Impact factor: 7.598

3.  Timing, Complications, and Safety of Tracheotomy in Critically Ill Patients With COVID-19.

Authors:  Francesc Xavier Avilés-Jurado; Daniel Prieto-Alhambra; Nesly González-Sánchez; José de Ossó; Claudio Arancibia; María Jesús Rojas-Lechuga; Laura Ruiz-Sevilla; Joan Remacha; Irene Sánchez; Eduardo Lehrer-Coriat; Mauricio López-Chacón; Cristóbal Langdon; Josep María Guilemany; Francisco Larrosa; Isam Alobid; Manuel Bernal-Sprekelsen; Pedro Castro; Isabel Vilaseca
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2020-10-08       Impact factor: 6.223

4.  Association of Early vs Late Tracheostomy Placement With Pneumonia and Ventilator Days in Critically Ill Patients: A Meta-analysis.

Authors:  Kevin Chorath; Ansel Hoang; Karthik Rajasekaran; Alvaro Moreira
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2021-05-01       Impact factor: 6.223

5.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

Authors:  Chaolin Huang; Yeming Wang; Xingwang Li; Lili Ren; Jianping Zhao; Yi Hu; Li Zhang; Guohui Fan; Jiuyang Xu; Xiaoying Gu; Zhenshun Cheng; Ting Yu; Jiaan Xia; Yuan Wei; Wenjuan Wu; Xuelei Xie; Wen Yin; Hui Li; Min Liu; Yan Xiao; Hong Gao; Li Guo; Jungang Xie; Guangfa Wang; Rongmeng Jiang; Zhancheng Gao; Qi Jin; Jianwei Wang; Bin Cao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

6.  Tracheostomy during SARS-CoV-2 pandemic: Recommendations from the New York Head and Neck Society.

Authors:  Brett A Miles; Bradley Schiff; Ian Ganly; Thomas Ow; Erik Cohen; Eric Genden; Bruce Culliney; Bhoomi Mehrotra; Steven Savona; Richard J Wong; Missak Haigentz; Salvatore Caruana; Babak Givi; Kepal Patel; Kenneth Hu
Journal:  Head Neck       Date:  2020-04-20       Impact factor: 3.147

7.  Characteristics, complications, and a comparison between early and late tracheostomy: A retrospective observational study on tracheostomy in patients with COVID-19-related acute respiratory distress syndrome.

Authors:  Anna Hansson; Ola Sunnergren; Anneli Hammarskjöld; Catarina Alkemark; Knut Taxbro
Journal:  Health Sci Rep       Date:  2022-04-22

8.  Outcomes after Tracheostomy in COVID-19 Patients.

Authors:  Tiffany N Chao; Sean P Harbison; Benjamin M Braslow; Christoph T Hutchinson; Karthik Rajasekaran; Beatrice C Go; Ellen A Paul; Leah D Lambe; James J Kearney; Ara A Chalian; Maurizio F Cereda; Niels D Martin; Andrew R Haas; Joshua H Atkins; Christopher H Rassekh
Journal:  Ann Surg       Date:  2020-06-11       Impact factor: 12.969

9.  Tracheostomy in patients with COVID-19: predictors and clinical features.

Authors:  Jesus Sancho; Santos Ferrer; Carolina Lahosa; Tomas Posadas; Enric Bures; Pilar Bañuls; Lucia Fernandez-Presa; Pablo Royo; Mª Luisa Blasco; Jaime Signes-Costa
Journal:  Eur Arch Otorhinolaryngol       Date:  2021-01-01       Impact factor: 2.503

10.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention.

Authors:  Zunyou Wu; Jennifer M McGoogan
Journal:  JAMA       Date:  2020-04-07       Impact factor: 56.272

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.