Literature DB >> 31581263

Improved survival rates in patients with H1N1 acute respiratory failure in Korea between 2009 and 2016.

Hayoung Choi1, Ui Won Ko2, Hyun Lee3, Sang-Bum Hong4, Chi Ryang Chung2,5.   

Abstract

There was a pandemic of influenza A (H1N1) in 2009; in Korea, there was also an H1N1 epidemic in 2016. We aim to investigate whether survival had improved in the setting of recent advances in intensive care unit (ICU) management. We conducted a retrospective analysis of acute respiratory failure patients with H1N1 influenza pneumonia in 2016 and 2009 respectively at two tertiary referral hospitals in Korea. A total of 28 patients were treated in 2016, and 34 in 2009. There was no significant difference in SOFA scores on ICU admission day. In-hospital mortality was significantly lower in patients of 2016 compared to those of 2009 (18% vs. 44% P = 0.028). By multivariable analyses, the treatment year 2016 was associated with a greater likelihood of survival. Compared to the patients treated in 2009, those treated in 2016 were one seventh as likely to die after adjusting for other clinical variables (hazard ratio for mortality, 0.15; 95% confidence interval. 0.03-0.63, P = 0.010). Improved survival in patients who underwent extracorporeal membrane oxygenation treatment (in-hospital mortality, 17% vs. 60%, P = 0.242) and decreased tidal volumes during mechanical ventilation (median 5.4 mL/kg vs. median 9.2 mL/kg, P = 0.018) were observed in 2016 compared to 2009. Treatment outcomes for patients with H1N1 acute respiratory failure improved from 2009 to 2016 in two tertiary referral centers in South Korea.

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Year:  2019        PMID: 31581263      PMCID: PMC6776345          DOI: 10.1371/journal.pone.0223323

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

The World Health Organization declared a global influenza pandemic in 2009 when the influenza A (H1N1) pdm09 virus spread rapidly worldwide [1]. In Korea, 740,835 patients were confirmed to have pandemic H1N1 in 2009 and 225 died [2,3]. During the pandemic period, some patients were hospitalized in intensive care units (ICU) because of influenza-associated pneumonia and acute respiratory distress syndrome (ARDS) [4]. The development of ARDS led to a tremendous increase in the mortality rate, ranging from 17.3 to 41.4% among critically ill patients with H1N1 infection [5-7]. Multiple aspects of ICU patient management have improved in recent years, including the more widespread application of lower tidal volume ventilation [8], restrictive blood transfusion [9], reduced sedative use [10], early mobilization, and more appropriate intervention in patients with sepsis [11,12]. Also, some lessons were learned while managing patients with 2009 H1N1-related critical illnesses, and extracorporeal membrane oxygenation (ECMO) therapy has been applied for the most severe ARDS associated with H1N1 infection [13,14]. In Korea, there was also the 2016 influenza season dominated by influenza A (H1N1) pdm09 virus. We hypothesized that survival had improved in patients with a viral infection between 2009 and 2016 because of advances in ICU management. We aimed to investigate whether treatment outcomes in 2016 had improved compared to those in 2009 in patients with H1N1 acute respiratory failure as well as which treatment modalities were associated with favorable treatment outcomes.

Materials and methods

Study population

We enrolled patients aged ≥ 15 years, who were diagnosed with H1N1 acute respiratory failure and admitted to the ICU at Samsung Medical Center (a 1,979-bed referral hospital in Seoul, Korea) or Asan Medical Center (a 2,704-bed referral hospital in Seoul, Korea). We defined H1N1 acute respiratory failure as an H1N1 infection requiring mechanical ventilator (MV) support. Data were collected from all consecutive patients from November 2009 to February 2010 and from November 2015 to March 2016, which were analyzed retrospectively. Patient data during the 2009 pandemic period were extracted from a multicenter cohort that investigated adult patients with confirmed H1N1-related critical illnesses who admitted to ICUs at 28 Korean tertiary or referral hospitals [15]. Among 57 critically ill patients of Samsung Medical Center and Asan Medical Center in the database, this study included 34 patients with H1N1 acute respiratory failure. This retrospective study was approved by the institutional review board (IRB) of Samsung Medical Center (IRB application no. 2016-07-137) and Asan Medical Center (IRB application no. 2018–0224). Patient information was anonymized and de-identified before analysis; therefore, requirements for informed consent were waived.

Data collection

Patient medical records were reviewed and clinical data were extracted, including demographic characteristics, body mass index (BMI), smoking history, diagnostic method, Sequential Organ Failure Assessment (SOFA) score, nosocomial infection, and comorbidities (hypertension, diabetes mellitus, chronic obstructive pulmonary disease [COPD], chronic kidney disease, chronic liver disease, current or previous solid organ malignancy). We used SOFA score to assess severity of patients because Acute Physiology and Chronic Health Evaluation (APACHE) II score were not appropriate in patients transferred from outside hospitals on extracorporeal membrane oxygenation (ECMO) support. SOFA score was assessed upon admission. Data about treatment in the ICU were also extracted, including antiviral agents, antibiotics, corticosteroids, MV settings (fraction of inspired oxygen [FiO2], positive end-expiratory pressure [PEEP], inspiratory pressure, and tidal volume for predicted body weight), neuromuscular blocking agents, prone position, nitric oxide, continuous renal replacement therapy (CRRT), and ECMO. The predicted body weight was calculated using the following equations: predicted body weight (kilograms) for men = 50 + (0.91 * [height {centimeters}]– 152.4]); predicted body weight (kilograms) for women = 45.5 + (0.91 * [height {centimeters}– 152.4]) [8]. In addition, we documented outcomes of patients with H1N1 acute respiratory failure, including the length of ICU and hospital stay and in-hospital mortality.

Statistical analysis

Data are presented as the median and interquartile range (IQR) for continuous variables and as frequency (percentage) for categorical variables. Data were compared by the Mann-Whitney U test for continuous variables and by the Pearson’s chi-square test or Fisher’s exact test for categorical variables. A Cox proportional hazard model was used to determine whether treatment year associated with survival. We further evaluated which factors associated with favorable treatment outcomes. The initial clinical variables entered into the model included age, sex, BMI, year, diabetes mellitus, solid organ malignancy, neuromuscular blockers, prone position, nitric oxide, ECMO, and CRRT in acute kidney injury. All tests were two-sided, and p < 0.05 was considered significant. Data were analyzed using IBM SPSS Statistics for Windows, version 23.0 (Armonk, NY, USA).

Results

Patient characteristics

In 2009, 34 patients diagnosed with H1N1 acute respiratory failure; 18 patients at Samsung Medical Center and 16 at Asan Medical Center. In 2016, there were 28 patients diagnosed; 16 at Samsung Medical Center and 12 at Asan Medical Center. Some clinical data for patients treated in 2009 were included in a published article [15,16]; data on patients in 2016 have not been previously reported. Baseline characteristics are summarized in Table 1. The median age of all patients was 62 years (IQR, 53–69 years) and 63% of all patients were male. Patients in 2016 were older (67 versus 60 years old, P = 0.109) and had higher BMI (23.1 versus 21.4 kg/m2, P = 0.013) than those in 2009. There was no significant difference in SOFA scores on ICU admission day (9 versus 10, P = 0.208) between patients diagnosed in 2009 and 2016. Solid organ malignancies were less frequently observed in patients in 2016 than in those in 2009 (18% versus 41%, P = 0.047).
Table 1

Baseline characteristics of patients with H1N1 acute respiratory failure.

2016 (n = 28)number (%), median (IQR)2009 (n = 34)number (%), median (IQR)P-value
Age, years67 (57–71)60 (49–67)0.109
Male sex15 (54)24 (71)0.167
Body mass index, kg/m223.1 (21.3–26.9)21.4 (19.1–24.3)0.013
Smoking11 (39)17 (50)0.399
Diagnostic methods
    RT-PCR25 (89)34 (100)0.087
SOFA score9 (5–12)10 (8–12)0.208
Hospital-acquired H1N1 infection5 (18)13 (38)0.079
Comorbidities
    Hypertension11 (39)12 (35)0.746
    Diabetes mellitus11 (39)9 (27)0.283
    Chronic obstructive pulmonary disease3 (11)4 (12)1.0
    Chronic kidney disease without hemodialysis02 (6)0.497
    Chronic kidney disease on hemodialysis5 (18)4 (12)0.719
    Chronic liver disease4 (14)3 (9)0.691
    Current or previous solid organ malignancy5 (18)14 (41)0.047

IQR, interquartile range; BMI, body mass index; RT-PCR, reverse transcription polymerase chain reaction; SOFA, Sequential Organ Failure Assessment.

IQR, interquartile range; BMI, body mass index; RT-PCR, reverse transcription polymerase chain reaction; SOFA, Sequential Organ Failure Assessment.

Treatment modalities and outcomes

Treatment modalities and outcomes are summarized in Table 2. Antiviral agents were used in all patients in both years. Peramivir was more frequently used in patients diagnosed in 2016 than in those diagnosed in 2009 (93% versus 21%, P < 0.001). MV settings including FiO2, PEEP, inspiratory pressure, and tidal volume for predicted body weight were not significantly different between the two groups of patients. Six (21%) patients in 2016 and 15 (44%) in 2009 received CRRT. Among six patients in 2016, four had chronic kidney disease on hemodialysis and two had acute kidney injury, without underlying chronic kidney disease; among 15 patients in 2009, four patients had chronic kidney disease on hemodialysis, two had chronic kidney disease without hemodialysis, and nine had acute kidney injury without underlying chronic kidney disease. There was no significant difference in the use of adjunctive treatment modalities including neuromuscular blocking agents, prone positioning, and nitric oxide between the two years. ECMO was used for 21% (n = 6) of patients in 2016 and for 15% (n = 5) of those in 2009 (P = 0.523). Four of the six patients treated with ECMO in 2016 had been transferred from outside hospitals on ECMO support.
Table 2

Treatment modalities and outcomes of patients with H1N1 acute respiratory failure.

2016 (n = 28)number (%), median (IQR)2009 (n = 34)number (%), median (IQR)P-value
Antiviral treatment< 0.001
    Oseltamivir2 (7)17 (50)
    Peramivir26 (93)7 (21)
    Oseltamivir, amantadine and ribavirin010 (29)
Antibiotics28 (100)34 (100)NA
Corticosteroids16 (57)25 (74)0.175
Mechanical ventilation
    FiO20.5 (0.4–0.6)0.55 (0.4–0.6)0.507
    PEEP, cmH2O8 (5–10)9 (6–10)0.193
    Inspiratory pressure, cmH2O14 (12–16)12 (9–16)0.451
    Tidal volume, mL/kg6.4 (5.2–8.2)7.3 (5.9–9.2)0.103
    Neuromuscular blocking agent18 (64)25 (74)0.432
    Prone positioning4 (14)5 (15)1.0
    Nitric oxide3 (11)7 (21)0.490
CRRT6 (21)a15 (44)b0.060
    CRRT in acute kidney injury2 (7)9 (27)0.092
ECMO6 (21)5 (15)0.523
Length of MV, days7 (4–19)6 (3–17)0.571
Length of ICU stay, days10 (7–28)8 (5–14)0.210
Length of hospital stay, days20 (11–57)20 (11–36)0.508
In-hospital mortality5 (18)15 (44)0.028

IQR, interquartile range; NA, not applicable; FiO2, fraction of inspired oxygen; PEEP, positive end-expiratory pressure; CRRT, continuous renal replacement therapy; ECMO, extracorporeal membrane oxygenation; MV, mechanical ventilation; ICU, intensive care unit.

a Four patients had chronic kidney disease on hemodialysis, and two had acute kidney injury, without underlying chronic kidney disease

b Four patients had chronic kidney disease on hemodialysis, two had chronic kidney disease without hemodialysis, and nine had acute kidney injury, without underlying chronic kidney disease.

IQR, interquartile range; NA, not applicable; FiO2, fraction of inspired oxygen; PEEP, positive end-expiratory pressure; CRRT, continuous renal replacement therapy; ECMO, extracorporeal membrane oxygenation; MV, mechanical ventilation; ICU, intensive care unit. a Four patients had chronic kidney disease on hemodialysis, and two had acute kidney injury, without underlying chronic kidney disease b Four patients had chronic kidney disease on hemodialysis, two had chronic kidney disease without hemodialysis, and nine had acute kidney injury, without underlying chronic kidney disease. In-hospital mortality was significantly lower in patients treated in 2016 compared to those treated in 2009 (18% versus 44%, P = 0.028). There was no significant difference in length of stays in the ICU and hospital between the two years (Table 2). As shown in Fig 1, the cumulative survival rate was significantly higher in acute respiratory failure patients with H1N1 in 2016 compared to those in 2009. Patients in 2016 were one seventh as likely to die after adjusting for other clinical variables (hazard ratio [HR], 0.15; 95% confidence interval [CI], 0.03–0.63, P = 0.010). Additionally, age (HR, 1.05; 95% CI, 1.01–1.10, P = 0.028), current or previous solid organ malignancy (HR, 0.17; 95% CI, 0.04–0.81, P = 0.025), and prone positioning (HR, 7.52; 95% CI, 1.37–41.40, P = 0.020) were significantly associated with mortality (Table 3).
Fig 1

Cox proportional hazards model cumulative survival curve for patients with H1N1 acute respiratory failure each year (the solid line represents patients treated in 2016; the dotted line represents those treated in 2009).

Table 3

Results of univariable and multivariable Cox proportional hazard model of mortality in patients with H1N1 acute respiratory failure.

Univariable analysisMultivariable analysis
HRP-valueHRP-value
Age1.02 (0.99–1.06)0.2171.05 (1.01–1.10)0.028
Male sex1.16 (0.46–2.91)0.7511.41 (0.36–5.53)0.620
BMI1.01 (0.94–1.09)0.7651.07 (0.96–1.20)0.218
Year 20160.33 (0.12–0.91)0.3310.15 (0.03–0.63)0.010
Diabetes mellitus0.85 (0.33–2.21)0.7371.22 (0.41–3.61)0.726
Current or previous solid organ malignancy1.16 (0.46–2.90)0.7560.17 (0.04–0.81)0.025
Neuromuscular blocking agent1.96 (0.66–5.88)0.2273.34 (0.83–13.39)0.089
Prone positioning3.45 (1.32–9.02)0.0127.52 (1.37–41.40)0.020
Nitric oxide2.69 (1.03–7.01)0.0440.16 (0.02–1.55)0.112
ECMO1.18 (0.39–3.53)0.7691.27 (0.19–8.38)0.804
CRRT in acute kidney injury3.71 (1.51–9.13)0.0044.15 (0.83–20.64)0.082

A Cox proportional hazard model was used to determine whether treatment year was associated with in-hospital mortality. The initial clinical variables entered in the model included age, sex, body mass index, year, diabetes mellitus, current or previous solid organ malignancy, neuromuscular blockers, prone positioning, nitric oxide, ECMO, and CRRT in acute kidney injury.

OR, odds ratio; HR, hazard ratio; CI, confidence interval; BMI, body mass index; ECMO, extracorporeal membrane oxygenation; CRRT, continuous renal replacement therapy.

A Cox proportional hazard model was used to determine whether treatment year was associated with in-hospital mortality. The initial clinical variables entered in the model included age, sex, body mass index, year, diabetes mellitus, current or previous solid organ malignancy, neuromuscular blockers, prone positioning, nitric oxide, ECMO, and CRRT in acute kidney injury. OR, odds ratio; HR, hazard ratio; CI, confidence interval; BMI, body mass index; ECMO, extracorporeal membrane oxygenation; CRRT, continuous renal replacement therapy.

ECMO treatment

Characteristics, treatment modalities, and outcomes of H1N1 patients who received ECMO treatment are summarized in Table 4. Patients in 2016 (n = 6) tended to be younger (55 versus 60 years, P = 0.522) and had higher BMIs (22.1 versus 19.4 kg/m2, P = 0.068) than did those in 2009 (n = 5), although neither of these differences were statistically significant. On admission day, there was no significant difference in SOFA scores (14 versus 13, P = 0.310) between the two years. At the time of initiating ECMO treatment, tidal volumes for predicted body weight (5.4 versus 9.2 mL/kg, P = 0.018) and FiO2 (0.5 versus 0.9, P = 0.009) were significantly lower in 2016 than in 2009. There was no significant difference in the length of hospital and ICU stay between the two years. In-hospital mortality (17 versus 60%, P = 0.242) was lower in 2016 than in 2009.
Table 4

Characteristics, treatment modalities, and outcomes of patients with H1N1 acute respiratory failure who received ECMO treatment.

Total (n = 11)number (%), median (IQR)2016 (n = 6)number (%), median (IQR)2009 (n = 5)number (%), median (IQR)P-value
Age, years58 (41–60)55 (39–59)60 (33–71)0.522
Male sex5 (46)3 (50)2 (40)1.0
BMI, kg/m221.5 (19.4–23.3)22.1 (21.3–28.2)19.4 (14.6–22.7)0.068
Smoking3 (27)2 (33)1 (20)1.0
SOFA score14 (8–16)14 (10–17)13 (6–15)0.310
Nosocomial infection2 (18)1 (17)1 (20)1.0
Antibiotics11 (100)6 (100)5 (100)1.0
Corticosteroid5 (46)2 (33)3 (60)0.567
Mechanical ventilation
    FiO20.6 (0.4–1.0)0.5 (0.4–0.6)0.9 (0.8–1.0)0.009
    PEEP, cmH2O10 (8–14)10 (7–16)10 (8–13)0.852
    Inspiratory pressure, cmH2O11 (10–13)11 (10–12)12 (NA)0.601
    Tidal volume, mL/kg6.8 (5.0–9.2)5.4 (2.7–7.1)9.2 (7.5–12.3)0.018
    Neuromuscular blocking agent10 (91)5 (83)5 (100)1.0
    Prone positioning4 (36)2 (33)2 (40)1.0
    Nitric oxide6 (55)2 (33)4 (80)0.242
CRRT5 (46)1 (17)4 (80)0.080
Length of MV, days12 (6–20)9 (6–19)12 (4–21)0.926
Length of ICU stay, days14 (8–28)20 (8–39)7 (14–21)0.584
Length of hospital stay, days20 (11–50)34 (11–53)20 (12–26)0.584
In-hospital mortality4 (36)1 (17)3 (60)0.242

IQR, interquartile range; ECMO, extracorporeal membrane oxygenation; BMI, body mass index; APACHE, Acute Physiology and Chronic Health Evaluation; SOFA, Sequential Organ Failure Assessment; FiO2, fraction of inspired oxygen; PEEP, positive end-expiratory pressure; CRRT, continuous renal replacement therapy; MV, mechanical ventilation; ICU, intensive care unit; NA, not applicable.

IQR, interquartile range; ECMO, extracorporeal membrane oxygenation; BMI, body mass index; APACHE, Acute Physiology and Chronic Health Evaluation; SOFA, Sequential Organ Failure Assessment; FiO2, fraction of inspired oxygen; PEEP, positive end-expiratory pressure; CRRT, continuous renal replacement therapy; MV, mechanical ventilation; ICU, intensive care unit; NA, not applicable.

Discussion

In this study, we investigated whether survival had improved in patients with H1N1 acute respiratory failure because of advances in ICU management and sought to identify which treatment modalities had been used during an epidemic in 2016 and a pandemic in 2009. In-hospital mortality was 18% among patients in 2016 while it was 44% in 2009. The improved survival was associated with treatment year though there was no association between specific treatment modalities and improved treatment outcomes. The mortality in this study (18% in 2016 and 44% in 2009) was comparable with the 17.3–41.4% mortality rate reported by previous studies of critically ill patients with H1N1 infection [5,6]. This improved survival might be related to advances in ICU management. Regarding MV parameters, tidal volumes were lower in H1N1 patients of the 2016 influenza season compared to those of the 2009 influenza, despite no statistical significance. This may imply that intensivists have more tendency to recognize ARDS in a timely manner and adhere to low tidal volumes, which may influence improved survival in this study [17]. In this study, prone positioning seemed to be associated with increased mortality in patients with H1N1 acute respiratory failure. However, it might have resulted from the phenomenon that prone positioning had been implemented to patients suffering from severe hypoxia, who were in the worst clinical settings. In addition, prone positioning showed decreased 28-day and 90-day mortality and increased ventilator-free days in patients with severe ARDS [18]. Thus, we should be cautious in interpreting the results. After the H1N1 pandemic, several institutions reported observational data suggesting ECMO increased survival in severe H1N1 pneumonia [13,19]. The reports were consistent with our finding that the proportion of patients receiving ECMO treatment increased from 15% (in 2009) to 21% (in 2016). In addition, in-hospital mortality of those who received ECMO was lower in 2016 (17%) than in 2009 (60%), although there was no significant association between improved survival and ECMO in a Cox proportional hazard model. In H1N1 ARDS, high tidal volumes (> 9 mL/kg for predicted body weight) and time of deoxygenation (Pao2 < 70 mm Hg) longer than 6 hours were associated with high mortality [20,21]. In this study, it was notable that tidal volumes for predicted body weight were significantly lower in patients receiving ECMO in 2016 than in those in 2009, which might explain the improved survival. Thus, prompt initiation of ECMO treatment should be considered when refractory hypoxia is not relieved by conventional treatment in severe H1N1 pneumonia. In this study, CRRT was more frequently used with acute kidney injury in 2009 than in 2016. However, CRRT in acute kidney injury was not associated with decreased in-hospital mortality. Our findings were aligned with previous studies, which reported early renal replacement therapy initiation strategy was not associated with severe acute kidney injury and septic shock or ARDS [22]. Also, other observational study revealed that long-term risk of major cardiovascular events in ICU survivors was more common in those who had received renal replacement therapy than in those who had not received renal replacement therapy [23]. However, since the study population who received CRRT in our study was small and there are no relevant studies which evaluated the role of CRRT in H1N1 patients with AKI, further studies are needed to confirm the role of CRRT in the treatment outcomes in this population. There is always a chance of other endemic or pandemic viral infections in the future. The 2015 outbreak of Middle East Respiratory Syndrome coronavirus in Korea is one such example [24]. However, unfortunately treatment outcomes in patients with severe viral pneumonia during a pandemic period are reportedly poor without definitive treatment modalities [5-7]. From this perspective, our study provides valuable data suggesting that advances in routine ICU management may improve treatment outcomes in such viral infections. Thus, investment and effort to improve ICU care are crucial to improving treatment outcomes in patients with a severe viral infection. Our study has several limitations. First, it was a retrospective study conducted at two referral centers in Korea. Second, the sample size was too small. Patients in 2016 were more likely to receive lower tidal volumes than those in 2009 and treatment outcomes in patients who received ECMO in 2016 were better than those in 2009. However, these factors were not statistically significant probably due to the small sample size. Though it was not proven in this study, prompt ECMO and lung-protective ventilation may have led to advances in ICU management that have resulted in improved survival. Third, its small sample size made our study prone to selection bias. Multivariable analysis might not be enough to remove selection bias. Thus, future studies with larger study populations are needed to investigate specific treatment modalities to improve survival in acute respiratory failure patients with H1N1 pneumonia.

Conclusion

Treatment outcomes for patients with H1N1 acute respiratory failure improved from 2009 to 2016 in two tertiary referral centers in South Korea. (CSV) Click here for additional data file.
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