• Article highlight
  • Article tables
  • Article images

Article History

Received : 09-07-2024

Accepted : 09-08-2024



Article Metrics




Downlaod Files

   


Article Access statistics

Viewed: 139

PDF Downloaded: 45


Get Permission Mishra, Yadav, Prasad, Mishra, and Yadav: Evaluation of demographic, clinical characteristics and risk factors in patients with persistent hiccups due to traumatic brain injury: A trauma-ICU based study


Introduction

Persistent hiccups are a common occurrence in neurocritical care patients, with an unknown incidence leading to unfavorable outcomes and morbidity.1 Hiccups can have detrimental effects, causing exhaustion, sleep deprivation, malnutrition, dehydration, depression, wound dehiscence, and even death in extreme cases. They can lead to prolonged hospital stays and negatively impact rehabilitation.1 In mechanically ventilated patients, hiccups can cause respiratory alkalosis, lung damage, and hemodynamic alterations.1 Brain injury is a known cause of persistent or intractable hiccups.2 Central nervous system tumors, particularly brain stem tumors, can elicit persistent hiccups which often resolve after surgical resection.2 Lateral medullary syndrome, a type of stroke affecting the brain stem, can present with persistent hiccups as the main symptom.3 Patients with neurological disorders require intubation and mechanical ventilation for acute respiratory insufficiency, or they may be unable to protect their airways due to bulbar dysfunction and impaired consciousness.4 The prevalence of persistent or intractable hiccups in neuro-ICU patients is unknown, and there is a lack of literature on the disease's nature and management. The aim of this study was to evaluate the demographic and clinical characteristics, as well as the risk factors, in patients with persistent hiccups due to traumatic brain injury (TBI) in a trauma intensive care unit (ICU) setting.

Materials and Methods

This prospective observational study was designed to perform an epidemiological investigation on persistent hiccups in traumatic brain injury (TBI) patients admitted to the trauma ICU of Trauma Center, Institute of Medical Sciences, Banaras Hindu University, Varanasi from July 2020 to January 2024.This study involved monitoring and recording the occurrence of persistent hiccups in TBI patients throughout their ICU stay. The study was approved by the Ethical Committee of Institute of Medical Sciences, Banaras Hindu University (No. Dean/2020/EC/2031).

All moderate and severe TBI patients with persistent hiccups aged 18-65 years admitted to the ICU were included in the study. The exclusion criteria were: not willing to participate, patients with GERD, advanced cancer, spinal cord injury, other CNS pathologies, deranged liver and renal profile, patients on drugs causing hiccups and patient on sedative and neuro-muscular blocking agents. The sample size for this prospective observational study was calculated based on the estimated prevalence of persistent hiccups in traumatic brain injury (TBI) patients and the desired confidence level and margin of error. Considering the expected incidence of persistent hiccups in TBI patients, a preliminary estimate suggested that at least 100 patients would be needed to achieve adequate statistical power for the analysis.

Patients aged 18-65 years with moderate to severe TBI who met the inclusion criteria were enrolled during their ICU stay. Given the exclusion criteria, it was anticipated that a sufficient number of eligible patients would be admitted to the trauma ICU at the Institute of Medical Sciences, Banaras Hindu University, Varanasi, over the study period from July 2020 to January 2024. The final sample size was determined based on the number of patients who consented to participate in the study and met the inclusion criteria, allowing for robust analysis of the epidemiological factors associated with persistent hiccups in this patient population.

Data extraction includes patient demographic and physical characteristics, mode and type of injury, severity score, operative intervention, seizure prophylaxis (administered or not), Marshall CT score, hiccup characteristics i.e. time of onset of hiccups, need of mechanical ventilator, ventilator-associated pneumonia (VAP), length of ICU stay and response to drug treatment for hiccups.

Once the general condition of the patient is stabilized and the clinical evaluation is completed, biochemical and radiological investigations are carried out depending on the need of the patient.

Statistical analysis was performed using statistical package for the social sciences (SPSS), Version 23.0. IBM Corp., NY). We compiled a cross-tabulation table based on the age (<40 vs >40 years), gender (male vs female), ventilator associated pneumonia (present vs absent), type of injury based on GCS score (moderate vs severe), length of ICU stays (<14 vs >14 days) and response to drug treatment for hiccups (yes vs no) and compared their proportions using the Chi-square and Fisher exact test. A p-value of less than 0.05 was considered was statistically significant at 95% confidence interval.

Results

Total 250 patients of traumatic brain injury (TBI) who were experiencing hiccups were enrolled in the period of July 2020 to January 2024, out of which 189 patients experienced persistent hiccups. The majority (59.8%) of patients in our study were <40 years of age, with an overall mean age of 41.75±17.16 years, ranging from 18 to 81 years, and most of them were male (75.7%), with a male-to-female ratio of 1.88:1. Road traffic accidents (RTAs) were present in 60.3% of patients, followed by falls from height (17.5%). On the basis of the GCS score, 75.7% of patients had severe type TBI (GCS 3–8), and the remaining had moderate type TBI (GCS 9–13). We performed operative treatment on 65 (34.4%) patients and non-operative treatment on 124 (65.6%) patients. Out of 189 patients, 86 (45.5%) had died and 103 (54.5%) had survived. The detailed patient characteristics are shown in Table 1.

Table 1

Patient characteristics

Characteristics

Number

Percentage

Age group (years)

<40

113

59.8

>40

76

40.2

Sex

Male

143

75.7

Female

76

24.3

BMI (kg/m2)

<18.5

4

2.1

18.5-24.9

128

67.7

25.0-29.0

57

30.2

Mode of Injury

Road traffic injury

114

60.3

Fall from height

33

17.5

Assault

17

9.0

Others

25

13.2

Type of TBI

Moderate (GCS 9-13)

46

24.3

Severe (GCS 3-8)

143

75.7

APACHE

5-9

10

5.3

10-14

82

43.4

15-19

55

29.1

20-24

23

12.2

25-29

13

6.9

30-34

6

3.2

Marshall CT classification

II

34

18.0

III

22

11.6

IV

37

19.6

V

60

31.7

VI

36

19.0

Seizure prophylaxis

Levetiracetam

136

72.0

Phenytoin

53

28.0

Treatment

Non-operative

124

65.6

Operative

65*

34.4

ICU Stay

<14

23

12.2

>14

166

87.8

Ventilator associated pneumonia

Yes

71

37.6

No

118

62.4

Mechanical ventilation

Yes

175

92.6

No

14

7.4

Responsive to drugs for hiccups

Yes

123

65.1

No

66

34.9

Mortality

Non-survived

86

45.5

Survived

103

54.5

[i] * Five individuals had EVD (External Ventricular Drain) procedures

The age group under 40 years old had a significant association with the male gender (p = 0.025). The age group over 40 years old was significantly associated with a higher BMI (25.0–29.0 kg/m2), a higher APACHE II score (>15), and greater mortality (p = 0.026, p = 0.030, and p = 0.001), respectively. Rest other risk variables were not significantly associated with age. The association between age and several risk variables for TBI-related persistent hiccups are depicted in Table 2.

Table 2

Association between age group and several risk variables of persistent hiccups due to TBI

Risk variables

Age group

p-value

<40 years

< 40 years

No.

%

No.

%

Gender

0.025

Male

92

81.4

51

67.1

Female

21

18.6

25

32.9

BMI

0.026

<18.5

4

3.5

0

0.0

18.5-24.9

82

72.6

46

60.5

25.0-29.0

27

23.9

30

39.5

Mode of Injury

0.909

Road traffic injury

66

58.4

48

63.2

Fall from height

21

18.6

12

15.8

Assault

11

9.7

6

7.9

Others

15

13.3

10

13.2

Type of TBI

0.227

Moderate (GCS 9-13)

31

27.4

15

19.7

Severe (GCS 3-8)

82

72.6

61

80.3

APACHE II score

0.030

5-9

3

2.7

7

9.2

10-14

51

45.1

31

40.8

15-19

37

32.7

18

23.7

20-24

16

14.2

7

9.2

25-29

4

3.5

9

11.8

30-34

2

1.8

4

5.3

Marshall CT classification

0.117

II

25

22.1

9

11.8

III

11

9.7

11

14.5

IV

18

15.9

19

25.0

V

40

35.4

20

26.3

VI

19

16.8

17

22.4

Seizure prophylaxis

0.820

Levetiracetam

82

72.6

54

71.1

Phenytoin

31

27.4

22

28.9

Treatment

0.371

Non-operative

77

68.1

47

61.8

Operative

36

31.9

29

38.2

ICU Stay

0.427

<14

12

10.6

11

14.5

>14

101

89.4

65

85.5

Ventilator associated pneumonia

0.657

Yes

41

36.3

30

39.5

No

72

63.7

46

60.5

Mechanical ventilation

0.834

Yes

105

92.9

70

92.1

No

8

7.1

6

7.9

Responsive to drugs for hiccups

0.867

Yes

73

64.6

50

65.8

No

40

35.4

26

34.2

Mortality

0.001

Non-survived

40

35.4

46

60.5

Survived

73

64.6

30

39.5

Table 3

Association between gender and several risk variables of persistent hiccups due to TBI

Risk Variables

Gender

p-value

Male

Female

No.

%

No.

%

BMI

0.357

<18.5

3

2.1

1

2.2

18.5-24.9

93

65.0

35

76.1

25.0-29.0

47

32.9

10

21.7

Mode of Injury

0.528

Road traffic injury

83

58.0

31

67.4

Fall from height

25

17.5

8

17.4

Assault

15

10.5

2

4.3

Others

20

14.0

5

10.9

Type of TBI

0.001

Moderate (GCS 9-13)

43

30.1

3

6.5

Severe (GCS 3-8)

100

69.9

43

93.5

APACHE

0.522

5-9

7

4.9

3

6.5

10-14

66

46.2

16

34.8

15-19

37

25.9

18

39.1

20-24

19

13.3

4

8.7

25-29

10

7.0

3

6.5

30-34

4

2.8

2

4.3

Marshall CT classification

0.225

II

26

18.2

8

17.4

III

13

9.1

9

19.6

IV

32

22.4

5

10.9

V

45

31.5

15

32.6

VI

27

18.9

9

19.6

Seizure prophylaxis

0.678

Levetiracetam

104

72.7

32

69.6

Phenytoin

39

27.3

14

30.4

Treatment

0.674

Non-operative

95

66.4

29

63.0

Operative

48

33.6

17

37.0

ICU Stay

0.467

<14

16

11.2

7

15.2

>14

127

88.8

39

84.8

Ventilator associated pneumonia

0.001

Yes

63

44.1

8

17.4

No

80

55.9

38

82.6

Mechanical ventilation

0.024

Yes

129

90.2

46

100

No

14

9.8

0

0.0

Responsive to drugs for hiccups

0.296

Yes

96

67.1

27

58.7

No

47

32.9

19

41.3

Mortality

0.751

Non-survived

66

46.2

20

43.5

Survived

77

53.8

26

56

Table 3 presents the association between gender and several risk variables for TBI-related persistent hiccups. Severe TBI was significantly associated with female gender (69.9% vs. 93.5%; p = 0.001), and ventilator-associated pneumonia and the need for mechanical ventilation were significantly associated with male gender (p = 0.001 and p = 0.024). The other risk variables were not significantly associated with gender. The significant relationship were observed between incidence of VAP and Marshall CT classification and non-survived patients (p<0.001 and p<0.001) and rest other risk variables had no significant relation. The association between incidence of ventilator associated pneumonia and several risk variables for TBI-related persistent hiccups is present in Table 4.

Table 4

Association between the incidence of VAP and several risk variables for persistent hiccups

Risk Variables

Ventilator associated pneumonia (VAP)

p-value

Yes

No

No.

%

No.

%

BMI

0.438

<18.5

1

1.4

3

2.5

18.5-24.9

52

73.2

76

64.4

25.0-29.0

18

25.4

39

33.1

Mode of Injury

0.072

Road traffic injury

51

71.8

63

53.4

Fall from height

8

11.3

25

21.2

Assault

6

8.5

11

9.3

Others

6

8.5

19

16.1

Type of TBI

0.922

Moderate (GCS 9-13)

17

23.9

29

24.6

Severe (GCS 3-8)

54

76.1

89

75.4

APACHE

0.797

5-9

3

4.2

7

5.9

10-14

32

45.1

50

42.4

15-19

23

32.4

32

27.1

20-24

7

9.9

16

13.6

25-29

5

7.0

8

6.8

30-34

1

1.4

5

4.2

Marshall CT classification

<0.001

II

6

8.5

28

23.7

III

14

19.7

8

6.8

IV

19

26.8

18

15.3

V

13

18.3

47

39.8

VI

19

26.8

17

14.4

Seizure prophylaxis

0.089

Levetiracetam

46

64.8

90

76.3

Phenytoin

25

35.2

28

23.7

Treatment

0.257

Non-operative

43

60.6

81

68.6

Operative

28

39.4

37

31.4

ICU Stay

0.278

<14

11

15.5

12

10.2

>14

60

84.5

106

89.8

Mechanical ventilation

0.882

Yes

66

93.0

109

92.4

No

5

7.0

9

7.6

Responsive to drugs for hiccups

0.312

Yes

43

60.6

80

67.8

No

28

39.4

38

32.2

Mortality

<0.001

Non-survived

48

67.6

38

32.2

Survived

23

32.4

80

67.8

Table 5 shows the association between type of TBI (moderate or severe) and several risk variables for TBI-related persistent hiccups. A strong relationship was observed in severe TBI patients who had fallen from height and were not responsive to drugs for hiccups (p = 0.019 and p = 0.004) as compared to moderate TBI.

Table 5

Association between the type of TBI (moderate /severe) and several risk variables for persistent hiccups

Risk Variables

Type of TBI

p-value

Moderate

Severe

No.

%

No.

%

BMI

0.915

<18.5

1

2.2

3

2.1

18.5-24.9

30

65.2

98

68.5

25.0-29.0

15

32.6

42

29.4

Mode of Injury

0.019

Road traffic injury

34

73.9

80

55.9

Fall from height

3

6.5

30

21.0

Assault

1

2.2

16

11.2

Others

8

17.4

17

11.9

APACHE

0.466

5-9

1

2.2

9

6.3

10-14

18

39.1

64

44.8

15-19

13

28.3

42

29.4

20-24

9

19.6

14

9.8

25-29

4

8.7

9

6.3

30-34

1

2.2

5

3.5

Marshall CT classification

0.278

II

13

28.3

21

14.7

III

4

8.7

18

12.6

IV

7

15.2

30

21.0

V

15

32.6

45

31.5

VI

7

15.2

29

20.3

Seizure prophylaxis

0.141

Levetiracetam

37

80.4

99

69.2

Phenytoin

9

19.6

44

30.8

Treatment

0.949

Non-operative

30

65.2

94

65.7

Operative

16

34.8

49

34.3

ICU Stay

0.757

<14

5

10.9

18

12.6

>14

41

89.1

125

87.4

Mechanical ventilation

0.792

Yes

43

93.5

132

92.3

No

3

6.5

11

7.7

Responsive to drugs for hiccups

0.004

Yes

38

82.6

85

59.4

No

8

17.4

58

40.6

Mortality

0.181

Non-survived

17

37.0

69

48.3

Survived

29

63.0

74

51.7

Table 6 shows the association between length of ICU stay and several risk variables for TBI-related persistent hiccups. A strong relationship was observed between patients who had fallen from height with a length of ICU stay of >14 days (p = 0.027) and non-survived patients with a length of ICU stay of<14 days (p = 0043). The other risk variables had no significant relationship. 

Table 6

Association between the length of ICU stay and several risk variables for persistent hiccups

Risk variables

ICU Stay

p-value

<14 days

>14 days

No.

%

No.

%

BMI

0.753

<18.5

0

0.0

4

2.4

18.5-24.9

16

69.6

112

67.5

25.0-29.0

7

30.4

50

30.1

Mode of Injury

0.027

Road traffic injury

20

87.0

94

56.6

Fall from height

0

0.0

33

19.9

Assault

2

8.7

15

9.0

Others

1

4.3

24

14.5

APACHE

0.761

5-9

2

8.7

8

4.8

10-14

10

43.5

72

43.4

15-19

5

21.7

50

30.1

20-24

4

17.4

19

11.4

25-29

2

8.7

11

6.6

30-34

0

0.0

6

3.6

Marshall CT classification

0.511

II

4

17.4

30

18.1

III

5

21.7

17

10.2

IV

4

17.4

33

19.9

V

5

21.7

55

33.1

VI

5

21.7

31

18.7

Seizure prophylaxis

0.785

Levetiracetam

16

69.6

120

72.3

Phenytoin

7

30.4

46

27.7

Treatment

0.670

Non-operative

16

69.6

108

65.1

Operative

7

30.4

58

34.9

Mechanical ventilation

0.801

Yes

21

91.3

154

92.8

No

2

8.7

12

7.2

Mortality

0.043

Non-survived

15

65.2

71

42.8

Survived

8

34.8

95

57.2

Discussion

This study evaluates the demographic, clinical characteristics, as well as the risk factors of persistent hiccup patients due to traumatic brain injury in a trauma intensive care unit (ICU). The prevalence of persistent hiccups in neurotrauma-ICU patients is unknown, and there is a lack of literature on the disease's nature, pattern and associated risk factor in TBI patients.

The study found that 59.8% of patients were under 40 years old, with a mean age of 41.75±17.16 years. Most were male (75.7%), with a male-to-female ratio of 1.88:1. Majority of patients (67.7%) had BMI range 18.5-24.9 kg/m2 followed by BMI 25.0-29.0 kg/m2 (30.2%). This aligns with a 2019 study by Kirankumar et al.,5 which found that the majority of TBIs were in the age group of 21-40 years (47.4%), followed by 41-60 years (35.6%). Another study by Agrawal et al.6 identified 93 cases (61.5%) of TBI among adults aged 18-73 years old. This suggests that the 18-40 age group is the most common for TBI due to risk factors such as risky behaviors, high motor vehicle crashes, and increased participation in sports. Most work-related TBI fatalities occur in men due to their higher participation in high-risk activities, occupational hazards, and differences in biological susceptibility.7 These findings highlight the need for increased awareness and prevention strategies for TBI. A systematic review and meta-analysis revealed that TBI patients typically have a normal or slightly overweight BMI, with 59.4% in the normal range (18.5-24.9 kg/m2). This may be due to demographic factors like younger age and higher physical activity levels, as well as risk factors like underweight or severely obese individuals.8

In the present study, road traffic accidents (RTAs) were present in 60.3% of patients, followed by falls from height (17.5%). On the basis of the GCS score, 75.7% of patients had severe type TBI (GCS 3–8), and the remaining had moderate type TBI (GCS 9–13). We performed operative treatment on 65 (34.4%) patients and non-operative treatment on 124 (65.6%) patients. The need for mechanical ventilation was present in 92.6% of patients, and 37.6% of patients had an incidence of ventilator-associated pneumonia. Out of 189 patients, 87.8% had a length of ICU stay >14 days, and 86 (45.5%) had died.

In a study by Gururaj9 reveals that road traffic injuries are the leading cause of head injuries (TBIs) in India, accounting for 60% of all TBIs. This is 25 times higher than in developed countries. The Indian Head Injury Foundation reports a fatality rate of 70 per 10,000 vehicles, with falls being a major cause, particularly in the young and elderly. A study of 1,012 TBI patients revealed that 58.7% had severe TBI, while 21.6% had moderate TBI and 19.7% had mild TBI 9. These findings support the predominance of severe TBI cases among hospitalized TBI patients. Non-operative management is suitable for many TBI patients, especially those with mild injuries and no significant mass effect or CT scan shift. Operative intervention is recommended for patients with significant mass lesions, hematomas causing mass effect, or refractory intracranial hypertension. Operative treatment in isolated TBI patients over 80 years old is associated with lower mortality rates, but a higher rate of poor neurological outcomes.10 A study by CENTER-TBI found that 84.7% of TBI patients required invasive mechanical ventilation during their ICU stay.11 Another study by Asehnoune et al12 reported 91% of moderate-to-severe TBI patients also required mechanical ventilation. Robba et al13 estimated the pooled incidence of mechanical ventilation in TBI patients to be 82.3%. Mechanical ventilation is crucial for airway protection, gas exchange optimization, and preventing secondary brain injury from hypoxia or hypercarbia.

The incidence of VAP in TBI patients has varied across studies, with a meta-analysis revealing a pooled incidence of 37.6%.14 Other studies have reported a range of 10% to 65%.15. A multicenter study found a VAP incidence of 34.1%.13 Variations in reported incidence may be due to differences in patient populations, diagnostic criteria, and clinical practices. However, the current study found that 35.2% of TBI patients developed VAP, which is within the existing literature's range.

A multicenter study found that the median ICU stay for patients with TBI is 11 days, with 64% having a prolonged stay exceeding 72 hours.16 Another study found that 76.4% of TBI patients stayed in the ICU for 1-7 days, followed by 8-14 days for 12.2%.17 Severe TBI patients had a median stay of 8.3 days, with longer stays associated with poorer outcomes.18

In our study, the age under 40 years had a significant association with the male gender (p = 0.025) and the age over 40 years was significantly associated with a higher BMI (25.0–29.0 kg/m2), a higher APACHE II score (>15), and greater mortality (p = 0.026, p = 0.030, and p = 0.001), respectively. The significant association between younger age (under 40 years) and the male gender could indicate that younger male patients may be more susceptible to developing hiccups following a traumatic brain injury. This information could be useful in identifying high-risk individuals and tailoring management strategies accordingly. The findings for patients over 40 years old suggest that this age group may experience more severe complications and poorer outcomes related to TBI-induced hiccups. The associations with higher BMI, higher APACHE II scores, and greater mortality indicate that older patients may require more intensive monitoring and targeted interventions to address the underlying factors contributing to these adverse outcomes.

A study found that the incidence of persistent or intractable hiccups is significantly higher in males than in females.19 The review article on Hiccups in Neurocritical Care also noted that gender is the most common risk factor for hiccups.1 A study indicated that higher BMI significantly increases the risk of postoperative hiccups in patients undergoing deep brain stimulation for Parkinson's disease. This implies that higher BMI is a risk factor for developing hiccups in various neurological conditions, including TBI.19 The APACHE II score is a widely used measure of disease severity in TBI patients. Higher scores indicate more severe injuries, which are associated with poorer outcomes, including increased mortality.20 Older age itself is a risk factor for worse outcomes after TBI, including increased mortality. This is due to decreased physiological reserve and higher rates of comorbidities.

In the present study, we found that severe TBI was significantly associated with female gender (69.9% vs. 93.5%; p = 0.001). This is an interesting finding, as previous research has often shown a higher incidence of TBI in males compared to females.21, 22 This finding is due to differences in injury mechanisms, such as the type of trauma or the location of the injury. Alternatively, it could be related to differences in physiological responses to injury, such as the body's ability to respond to and recover from severe trauma.

The study also found that ventilator-associated pneumonia (VAP) was significantly associated with male gender (p=0.001). This is an important finding, as VAP is a common complication in critically ill patients, including those with TBI. The higher incidence of VAP in males may be due to differences in immune response and respiratory physiology, such as the presence of more severe lung injury or a higher risk of developing pneumonia. It could also be related to differences in the management of mechanical ventilation, such as the use of different ventilator settings or the presence of underlying respiratory conditions.The meta-analysis results showed that compared to female patients, male patients with traumatic brain injury (TBI) had a significantly higher risk (about 46%) of developing VAP (RR=1.46, 95% CI: 1.13-1.79, p<0.05).23 Variations in ventilator management or other clinical practices between male and female TBI patients may also contribute to the disparities in VAP incidence.

The study also found that the need for mechanical ventilation was significantly associated with male gender (p=0.024). The greater prevalence of severe TBI in male patients would therefore translate to a higher need for mechanical ventilation in this group. The physiological factors that predispose males to more severe TBI, such as differences in brain anatomy, cerebrovascular regulation, and hormonal influences, may also contribute to the increased requirement for mechanical ventilation. A survey by Robba et al.13 found that 66% of respondents managing severe TBI patients were male, suggesting a higher proportion of men requiring mechanical ventilation in this setting.

In the present study, we found a significant relationship were observed between incidence of VAP with Marshall CT classification and non-survived patients with persistent hiccups due to TBI (p<0.001 and p<0.001). The Marshall CT classification is a system used to categorize the severity of traumatic brain injury based on radiographic findings. Several studies have found associations between higher Marshall scores (indicating more severe injury) and increased risk of complications like VAP in TBI patients. Bronchardetal.24 reported that a Marshall CT score >2 was significantly associated with VAP in TBI patients admitted to the ICU. These findings suggest that more severe structural brain injuries, as evidenced by higher Marshall scores, may predispose TBI patients to respiratory complications like VAP, potentially due to impaired cough reflex, aspiration risk, and immunosuppression.

While the literature on persistent hiccups in TBI is limited, a few studies have suggested an association between this complication and poorer outcomes. A case report by Wu et al.25 described a TBI patient who developed intractable hiccups and had a prolonged hospital course. Another case report by Takemoto et al26 reported on a patient with chronic subdural hematoma who presented with persistent hiccups and ultimately died. However, these are isolated case reports, and more research is needed to determine if persistent hiccups are truly an independent predictor of mortality in TBI patients.

Fall from height are the leading cause of traumatic brain injury (TBI) in children and older adults, and the second leading cause of TBI-related deaths overall.27 Fall, especially from low heights (76% of all falls), were the most common trauma mechanism leading to moderate or severe TBI, followed by road traffic accidents.28 Age, fall from height, and location of the fall were all significantly associated with mortality in severe TBI patients from falls. Among adults with severe TBI, the number of deceased persons due to fall from height was 437, representing 45% of the total TBI deaths.29 In the present study, we found significant relationship was observed between patients who had fallen from height in severe TBI patients (p = 0.019).

In the present study, a significant relationship was observed between patients who had fall from height having an increased length of ICU stay (>14 days) (p = 0.027) and patients who had died due to TBI having a shorter length of ICU stay (<14 days) (p = 0.043). One study found a significant weak positive correlation between falling distance and the durations of ICU and hospital stay (ρ = 0.33, 0.32; p < 0.05).30 This suggests that as the height of the fall increases, the length of ICU and hospital stay also tends to increase. Another study reported that falls from heights ≥25 feet were associated with significantly higher Injury Severity Scores (ISS) among admitted patients compared to falls from <25 feet (p=0.001).31 Higher ISS is typically associated with longer ICU and hospital stays. There is no evidence provided to support the specific claim that a significant relationship was observed between fall height, ICU length of stay, and hiccups in severe TBI patients.

Patients who died in the ICU were significantly more likely to have shorter ICU stays. This indicates that shorter ICU LOS may be associated with higher mortality in severe TBI.32

To implement the new knowledge from the study, targeted prevention programs should be developed for younger male TBI patients at risk for persistent hiccups, and healthcare providers should be trained to recognize demographic risk factors, including gender differences in TBI complications. Enhanced monitoring protocols for older TBI patients with higher BMI and APACHE II scores should be introduced to address complications early and reduce mortality. The Marshall CT classification should be used more extensively to identify and manage respiratory complications in TBI patients. Comprehensive data collection through multicentre collaborations and extended follow-up periods is needed to enhance generalizability and capture long-term outcomes.

Limitations

The study has several limitations that may affect the generalizability and validity of its findings. Firstly, being a single-center study, the results may not be applicable to other populations or settings. Additionally, the limited follow-up period may not capture long-term outcomes and complications associated with persistent hiccups in TBI patients. The scarcity of research on this topic further limits the availability of relevant data. The study may not have adequately controlled for factors such as medication use that could influence the development of persistent hiccups.

Furthermore, the lack of a comparison group and standardized definition for persistent hiccups hinders the ability to isolate their specific impact on TBI. The observational nature of the study also prevents establishing causal relationships. Therefore, further research, including multicenter studies and randomized controlled trials, is necessary to validate and expand upon these findings.

Conclusion

This study concludes that younger male patients with severe traumatic brain injury are more likely to experience persistent hiccups, which can hinder their recovery. Older patients with higher Body Mass Index and APACHE II scores have increased mortality rates, highlighting the need for tailored management strategies for high-risk individuals. Further research is needed to better understand the association between hiccups and traumatic brain injury and develop effective management strategies.

Sources of Funding

None.

Conflict of Interest

None.

References

1 

V Rajagopalan D Sengupta K Goyal SK Dube A Bindra S Kedia Hiccups in neurocritical careJ Neurocrit Care20211411828

2 

FY Chang CL Lu Hiccup: mystery, nature and treatmentJ Neurogastroenterol Motil201218212330

3 

V Sampath MR Gowda HR Vinay S Preethi Persistent hiccups (singultus) as the presenting symptom of lateral medullary syndromeIndian J Psychol Med20143633413

4 

A A Rabinstein Update on respiratory management of critically ill neurologic patientsCurrent neurology and neuroscience reports200556476476

5 

MR Kirankumar V Satri V Satyanarayana VVR Chandra M Madhusudan J Sowjanya Demographic profile, clinical features, imaging and outcomes in patients with traumatic brain injury presenting to emergency roomJ Clin Sci Res201981326

6 

A Agrawal S Galwankar V Kapil V Coronado SV Basavaraju LC McGuire Epidemiology and clinical characteristics of traumatic brain injuries in a rural setting in Maharashtra, India. 2007–2009Int J Crit Illn Inj Sci20072316771

7 

VC Chang R Ruseckaite A Collie A Colantonio Examining the epidemiology of work-related traumatic brain injury through a sex/gender lens: analysis of workers' compensation claims in Victoria, AustraliaOccup Environ Med20147110695703

8 

R Mishra S Galwankar S Konar A Shrivastava S Raj P Choksey Obesity as a predictor of outcome following traumatic brain injury: A systematic review and meta-analysisClin Neurol Neurosurg2022217107260

9 

G Gururaj Epidemiology of traumatic brain injuries: Indian scenarioNeurol Res2002241248

10 

P Czorlich MM Mader P Emami M Westphal R Lefering M Hoffmann Operative versus non-operative treatment of traumatic brain injuries in patients 80 years of age or olderNeurosurg Rev2019435130514

11 

EV Veen MVD Jagt G Citerio N Stocchetti Occurrence and timing of withdrawal of life-sustaining measures in traumatic brain injury patients: a CENTER-TBI studyIntensive Care Med20214710111529

12 

K Asehnoune P Seguin S Lasocki A Roquilly A Delater A Gros Extubation Success Prediction in a Multicentric Cohort of Patients with Severe Brain InjuryAnesthesiology2017127233846

13 

C Robba P Rebora E Banzato EJA Wiegers N Stocchetti DK Menon Incidence, Risk Factors, and Effects on Outcome of Ventilator-Associated Pneumonia in Patients With Traumatic Brain Injury: Analysis of a Large, Multicenter, Prospective, Observational Longitudinal StudyChest2020158622922303

14 

Y Li C Liu W Xiao T Song S Wang Incidence, Risk Factors, and Outcomes of Ventilator-Associated Pneumonia in Traumatic Brain Injury: A Meta-analysisNeurocrit Care202032127285

15 

DA Zygun DJ Zuege PJ Boiteau KB Laupland EA Henderson JB Kortbeek Ventilator-associated pneumonia in severe traumatic brain injuryNeurocrit Care20065210814

16 

JA Huijben EJA Wiegers HF Lingsma G Citerio AIR Maas DK Menon Changing care pathways and between-center practice variations in intensive care for traumatic brain injury across Europe: a CENTER-TBI analysisIntensive Care Med20204659951004

17 

KU Tobi AL Azeez SO Agbedia Outcome of traumatic brain injury in the intensive care unit: A five-year reviewSouth Afr J Anaesth Analg20162251359

18 

S Bhattacharyay PF Caruso C Åkerlund Mining the contribution of intensive care clinical course to outcome after traumatic brain injuryNPJ Digit Med202361154

19 

B Wu Y Ling C Zhang Y Liu R Xuan J Xu Risk Factors for Hiccups after Deep Brain Stimulation of Subthalamic Nucleus for Parkinson’s DiseaseBrain Sci202212111447

20 

G Gürsoy C Gürsoy Y Kuşcu SG Demirbilek APACHE II or INCNS to predict mortality in traumatic brain injury: A retrospective cohort studyUlus Travma Acil Cerrahi Derg20202668938

21 

R Gupte W Brooks R Vukas J Pierce J Harris Sex Differences in Traumatic Brain Injury: What We Know and What We Should KnowJ Neurotrauma20193622306391

22 

NC Collins M Molcho P Carney P Carney L McEvoy L Geoghegan Are boys and girls that different? An analysis of traumatic brain injury in childrenEmerg Med J20133086758

23 

S Chen G Gao Y Xia Z Wu Incidence rate and risk factors of ventilator-associated pneumonia in patients with traumatic brain injury: a systematic review and meta-analysis of observational studiesJ Thorac Dis2023154206878

24 

R Bronchard P Albaladejo G Brezac A Geffroy PF Seince W Morris Early onset pneumonia: risk factors and consequences in head trauma patientsAnesthesiology2004101227481

25 

YY Wu YT Wu LC Chen CY Lin Hiccup Secondary to Amantadine in Traumatic Brain Injury: A Case ReportAustin J Anesth Analg2014221015

26 

Y Takemoto A Hashiguchi K Moroki H Tokuda J Kuratsu Chronic subdural hematoma with persistent hiccups: a case reportInterdiscip Neurosurg2016312

27 

AB Peterson SR Kegler Deaths from Fall-Related Traumatic Brain Injury - United StatesMMWR Morb Mortal Wkly Rep200869922530

28 

D Jochems EV Rein M Niemeijer MV Heijl MAV Es T Nijboer Incidence, causes and consequences of moderate and severe traumatic brain injury as determined by Abbreviated Injury Score in the NetherlandsSci Rep202111119985

29 

R Ş Ţolescu M V Zorilă M S Şerbănescu Severe traumatic brain injury (TBI) - a seven-year comparative study in a Department of Forensic MedicineRom J MorpholEmbryol202061195103

30 

K Muneshige M Miyagi G Inoue T Nakazawa T Imura T Matsuura The Relationship Between Falling Distance and Trauma Severity Among Fall Injury Survivors Who Were Transported to a Trauma CenterCureus2022145e25099

31 

G Alizo JD Sciarretta S Gibson K Muertos A Romano J Davis Fall from heights: does height really matter?Eur J Trauma Emerg Surg20184434116

32 

A Abujaber A Fadlalla A Nashwan A El-Menyar H Al-Thani Predicting prolonged length of stay in patients with traumatic brain injury: A machine learning approachIntell Based Med20226100052



jats-html.xsl


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.