ORIGINAL RESEARCH ARTICLE


https://doi.org/10.5005/jp-journals-10071-23429
Indian Journal of Critical Care Medicine
Volume 24 | Issue 5 | Year 2020

Reliability of Emergency Department Diagnosis in Identifying the Etiology of Nontraumatic Undifferentiated Hypotension


Rameshbabu H Javali1, Arpitha Loganathan2, Madhu Srinivasarangan3, Akkamahadevi Patil4, Ganesha B Siddappa5, Nisarg Satyanarayana6, Adarsh S Bheemanna7, Sriharsha Jagadeesh8, Sagarika Betkerur9

1–3,6–9Department of Emergency Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India
4Department of Anesthesia, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India
5Department of Emergency Medicine, SSIMSandRC, Davangere, Karnataka, India

Corresponding Author: Arpitha Loganathan, Department of Emergency Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India, Phone: +91 9900688088, e-mail: arpi.loga@gmail.com

How to cite this article Javali RH, Loganathan A, Srinivasarangan M, Akkamahadevi P, Ganesha BS, Nisarg S, et al. Reliability of Emergency Department Diagnosis in Identifying the Etiology of Nontraumatic Undifferentiated Hypotension. Indian J Crit Care Med 2020;24(5):313–320.

Source of support: Nil

Conflict of interest: None

ABSTRACT

Introduction: Nontraumatic undifferentiated hypotension is one of the common and challenging critical presentations in the emergency department (ED) due to the difficulty in diagnosing the etiology of shock. In the present study, an attempt was made to test point-of-care ultrasound (PoCUS) as an early approach to improve the accuracy of diagnosis and to narrow the differentials in cases of nontraumatic undifferentiated hypotension.

Materials and methods: This is a prospective explorative study conducted in the ED of a tertiary care hospital over a period of 18 months. A total of 100 patients were included in the study. All patients >18 years of age with systolic blood pressure %3C;90 mm Hg with at least one sign or symptom of hypoperfusion were included in the study. Patients referred from another hospital as shock, history of trauma, and history suggestive of orthostatic hypotension and presented with symptomatic postural hypotension as the only chief complaint were excluded. All the patients who met the inclusion/exclusion criteria underwent detailed clinical and multi-organ PoCUS evaluation by two different observers. Assessment of the lungs, cardia, abdomen, aorta, inferior vena cava (IVC), and leg veins during the PoCUS examination was done. A third observer combined the clinical evaluation and the PoCUS findings. All patients were followed through for their final diagnosis at the time of discharge. First, the diagnosis after clinical evaluation alone was compared to the final diagnosis. Then the diagnoses based on the findings of PoCUS alone were compared with the final diagnosis. Last, the diagnosis obtained on combining the data of clinical evaluation with that of PoCUS was compared to the final diagnosis. The data were analyzed based on their reliability indices, accuracy, and the Cohen’s kappa coefficient.

Results: Diagnoses based on clinical evaluation alone and POCUS alone were found to be accurate in 45% and 47% of patients, respectively. But on combining the findings of clinical evaluation with PoCUS, the accuracy increased to 89%. The most common etiology of shock was found to be distributive shock present in 38% of patients with sepsis being the most common subtype. In patients with obstructive shock, combined clinical evaluation with PoCUS was in perfect agreement with Cohen’s kappa coefficient (κ) = 1 and those with distributive shock were in substantial agreement with Cohen’s kappa coefficient (κ) = 0717. The overall kappa correlation of the combined evaluation with PoCUS was 0.89, which shows an almost perfect agreement with the final diagnosis.

Conclusion: This study demonstrates the accuracy and reliability of PoCUS as an easy and valuable bedside tool when added to the clinical evaluation. It helps in narrowing the differentials and thereby guiding early goal-directed therapy in nontraumatic, undifferentiated hypotension patients presenting to the ED.

Keywords: Accuracy, Cardiogenic shock, Distributive shock, Emergency department, Emergency physician, Nontraumatic, Point-of-care ultrasound, Shock, Undifferentiated hypotension.

INTRODUCTION

In the practice of emergency medicine, the targeted and focused management of acutely ill medical patients is the cornerstone. Critically ill patients present a challenge to the emergency physician as they often present with etiological ambiguity, unavailable or unreliable history, or rapidly deteriorating and unstable clinical condition.1

Three previous studies have reported high mortality rates, 16–25%, among emergency department (ED) patients with nontraumatic undifferentiated shock.24 These poor outcomes underline the importance of utilizing a systematic approach to determining the etiology of shock.1

Multi-organ ultrasound not only substantially decreases the practical delays associated with imaging and laboratory tests but can obviate the need for them when a definitive diagnosis is obtained on ultrasound imaging, avoiding a large radiation dose.5 It is the versality of ultrasound to rule in and exclude multiple different diagnoses that makes it an indispensable tool for an ED physician in identifying the etiology of undifferentiated shock.

The use of bedside ultrasound has been described in the evaluation of undifferentiated shock for well over two decades.610 Though many have described different techniques and protocols, few have looked at the reliability of this tool in the ED and its effect on narrowing the differentials.

Not many studies have been done in these parts of the country and the literature available is limited. Hence, an attempt was made to test multi-organ point-of-care ultrasound (PoCUS) as an early approach to improve the accuracy and to narrow the differential diagnoses, thus testing the effectiveness of guiding the emergency physician (EP) in early goal-directed therapy for better outcome in patients presenting with nontraumatic undifferentiated hypotension.

MATERIALS AND METHODS

This is a single-center, prospective, explorative study performed over a period of 18 months in the Department of Emergency Medicine of a 1,800-bed teaching, tertiary-care hospital with over 50,000 ED visits per year. The subjects were enrolled based on convenience sampling as only one EP trained in POCUS did the evaluation. We included patients above the age of 18 years with systolic BP <90 mm Hg and shock index %3E;1 (shock index = heart rate/systolic blood pressure) during the first evaluation and the presence of at least one of the following signs or symptoms of hypoperfusion–unresponsiveness, altered mental status, syncope, respiratory distress, generalized fatigue, severe chest pain or abdominal pain. The exclusion criteria were as follows:

The sample size was calculated based on the formula,

where, n—sample size; z—standard normal deviate set at 1.96 corresponding to 95% confidence level; p—proportion of study population undergoing POCUS; q—1 − p; d—degree of accuracy set at 0.05.

A total of 100 patients who met the criteria were included in the study. Approval was obtained from the institutional ethical committee (IEC). Informed written consents from patients, their legally authorized representatives, or close families were obtained and filed after thorough explanation of the study. The PoCUS exam was conducted parallel to the standard of care management of the patient, and its patient safety was approved by the clinical governance committee of the institution.

For evaluation of PoCUS, the portable ultrasound machine, SonoSite M-TURBO (FUJIFILM, Bothell, WA, USA), was used during the study. The phased transducer 5–1 MHz was used to view the heart. There were four major cardiac views considered, subcoastal view, parasternal long-axis view, parasternal short-axis view, and the apical four-chamber view, to examine the fluid collection in the pericardial sac, right ventricle (RV) diastolic collapse, left ventricle (LV) hypokinesia by visual examination of gross wall contraction and wall thickening or LV hyperkinesia, LV function, and signs of RV dilatation. The linear transducer 13–6 MHz was used to view the lungs. Lung sliding sign, B profile, consolidation, air bronchograms, and pleural effusion were recorded. The curved transducer 5–2 MHz was used to examine the free fluid in the hepatorenal pouch, the splenorenal pouch, and the pelvic cavity. The curved transducer 5–2 MHz was also used to assess the aorta for features of aneurysm and occlusion and inferior vena cava (IVC) collapsibility. Maximum diameter of 2 cm and 50% collapsibility was considered as the cutoff. The linear transducer 13–6 MHz was used to examine the common femoral and popliteal leg veins for collapsibility and presence of intraluminal thrombosis.

Method of Collection of Data

Patients satisfying the inclusion criteria were interviewed and demographic data such as age, sex, and presenting complaints were noted. The diagnoses for this study were recorded as a type of or as a combination of types of shock.

Patients were subjected to thorough clinical examination and evaluated for vital signs, physical examination, and detailed secondary survey by one observer and the diagnosis was declared as Diagnosis 1. These patients were then subjected to a multi-organ PoCUS in the ED by a trained EP blinded to the clinical evaluation. The ultrasound findings were recorded on a predesigned proforma and a diagnosis based only on these ultrasound findings was declared as Diagnosis 2. The findings of the detailed clinical evaluation were combined with the findings of multi-organ PoCUS and a third diagnosis was declared based on the combined findings (Diagnosis 3). This was done by a different third observer, also an EP. All patients were followed during their hospitalization in order to document their final diagnosis. Patients were transferred to other medical/surgical units (internal medicine, cardiology, or surgery) and the final clinical diagnosis (Diagnosis 4) was established by the treating physician in charge. The treating physicians were certified specialists with acceptable expertise in their fields. These physicians were blind to the diagnoses declared in the patients’ data sheet in the ED. Specific criteria were followed for establishing the diagnosis during the study (Annexures 1 to 3).

Statistical Analysis

The data were entered into MS Excel followed by the analysis using SPSS (v.22), licensed to JSS Academy of Higher Education and Research. Arithmetic mean, standard deviation, and percentages were used to represent age and gender distribution, vitals, etc.

The accuracy of diagnosis after clinical evaluation alone vs final diagnosis (Diagnosis 1 vs Diagnosis 4), diagnosis based on PoCUS alone vs final diagnosis (Diagnosis 2 vs Diagnosis 4), and diagnosis after combined clinical evaluation and PoCUS vs final diagnosis (Diagnosis 3 vs Diagnosis 4) was analyzed.

The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were calculated separately for Diagnosis 1, Diagnosis 2, and Diagnosis 3. The agreement between diagnosis 3 and the final diagnosis has been compared using Cohen’s kappa coefficient (κ).

RESULTS

In the present study, it was observed that the mean age group of patients presenting with undifferentiated hypotension was 51.7 ± 18.88 with a male predominance of 60%. The mean systolic blood pressure (SBP) and diastolic blood pressures (DBP) were 78.5 ± 10.57 and 35.8 ± 27.67 in this study population. The mean pulse rate and respiratory rate of patients in this study group was found to be 106.98 and 28.5, respectively.

In this study, by clinical evaluation alone (Diagnosis 1), 45% of patients were diagnosed accurately when compared to the final diagnosis (Diagnosis 4).

About 47% of patients were diagnosed accurately on PoCUS alone (Diagnosis 2) when compared to the final diagnosis (Diagnosis 4).

On combining the clinical evaluation with PoCUS (Diagnosis 3), 89% of patients matched accurately to the final diagnosis (Diagnosis 4) as described in Figure 1.

The subgroup analysis of individual types of shock was then attempted. The most common diagnosis among this study group was distributive shock after combined clinical evaluation with PoCUS and final diagnosis.

It was observed that in patients diagnosed with cardiogenic shock, clinical evaluation alone was more specific (91%) and PoCUS alone was more sensitive (100%), but on combining PoCUS with clinical evaluation, the reliability rose to >98% with an accuracy of κ = 0.95, which indicates almost perfect agreement with the final diagnosis. It was also found that combining clinical evaluation with PoCUS (Diagnosis 3) was very efficient in ruling out cardiogenic shock as a probable etiology in patients with unknown shock (NPV = 100%). Similar findings were also found in patients with hypovolemic shock.

Fig 1:: The statistical diagnostic accuracy of patients (n = 100)

In case of patients diagnosed with obstructive and distributive shock both clinical evaluation alone (Diagnosis 1) and PoCUS alone (Diagnosis 2) were highly specific (∼100%). On combining the clinical evaluation and PoCUS, it was found that in patients with obstructive shock Diagnosis 3 was in perfect agreement with final diagnosis (Diagnosis 4) (κ = 1). Patients with distributive shock had κ = 0.717 (substantial agreement) with Diagnosis 3 when compared to the final diagnosis.

The diagnosis of patients with mixed type of shock was not highly specific or sensitive when clinical evaluation alone or PoCUS alone was used, but on adding the PoCUS findings to the clinical evaluation, the sensitivity and specificity rose to >90% and the accuracy of Diagnosis 3 was in substantial agreement with that of the final diagnosis (κ = 0.76) as described in Tables 1 to 3 and Figure 2.

DISCUSSION

Shock can be an elusive diagnosis. There is no single clinical parameter or diagnostic study that can accurately predict the presence of circulatory insufficiency. The ability to correctly assess the etiology of shock has been described as the essence of the discipline of emergency medicine.3,11 This study adds to the evidence that a goal-directed point-of-care ultrasound will help EPs correctly identify the cause of nontraumatic symptomatic undifferentiated hypotension.3,12 It further demonstrates that PoCUS when added to the standard clinical evaluation can benefit the EP by narrowing the differential diagnoses in such patients (Fig. 3).

In the present study conducted on 100 patients presenting with undifferentiated hypotension as per the inclusion and exclusion criteria, the diagnosis at admission, after detailed clinical evaluation alone, the diagnosis after PoCUS alone, and the combined diagnosis of clinical evaluation and PoCUS were compared with that of the diagnosis at the time of discharge after complete evaluation.

Table 1:: Reliability indices of Diagnosis 1 (clinical evaluation alone) vs Diagnosis 4 (final diagnosis) of patients
Cardiogenic shock (n = 21) (%)Hypovolemic shock (n = 8) (%)Obstructive shock (n = 2) (%)Distributive shock (n = 12) (%)Mixed shock (n = 39) (%)
Sensitivity70.0041.00  50.0028.0044.00
Specificity91.0096.50100.0098.0063.50
PPV66.0062.50100.0075.0028.20
NPV92.0092.30  97.0073.8077.00
Table 2:: Reliability indices of Diagnosis 2 (PoCUS evaluation alone) vs Diagnosis 4 (final diagnosis) of patients
Cardiogenic shock (n = 27) (%)Hypovolemic shock (n = 34) (%)Obstructive shock (n = 3) (%)Distributive shock (n = 5) (%)Mixed (n = 27) (%)
Sensitivity100.0083.00  75.0015.0030.70
Specificity90.1072.70100.00100.0074.30
PPV70.3029.40100.00100.0029.00
NPV100.0096.90  98.0071.5075.30
Table 3:: Reliability indices and κ agreement of Diagnosis 3 (combined clinical and PoCUS evaluation) vs Diagnosis 4 (final diagnosis) for each type of shock in patients
Cardiogenic shock (n = 20) (%)Hypovolemic shock (n = 16) (%)Obstructive shock (n = 4) (%)Distributive shock (n = 32) (%)Mixed shock (n =28) (%)
Sensitivity100.00100.00100.00  73.6892.00
Specificity  98.70  98.00100.00100.0090.41
PPV  95.20  85.70100.00100.0076.47
NPV100.00100.00100.00  86.1197.00
Cohen’s kappa coefficient (κ)    0.9500    0.8570    1    0.7170  0.7640

Fig 2:: Combined diagnosis of clinical evaluation with PoCUS (Diagnosis 3) and final diagnosis (Diagnosis 4) of patients (n = 100)

Fig 3:: Number of patients with corrected diagnosis on adding PoCUS finding to the clinical diagnosis (Diagnosis 1)

The demographic profile was comparable to a study conducted by Atkinson et al.7 The vitals and clinical characteristics are comparable with studies done by Jones et al. and Shokoohi et al., which showed similar results. These have been illustrated in the Table 4.2,13

Among the study group, most patients (38%) were diagnosed to have distributive type of shock. Of these, sepsis was the commonest subtype, found in 84% of patients. This was a similar finding in other studies as well.6,1317 In most cases, distributive shock was missed in Diagnosis 2; this may be so because classifying a patient as distributive shock based on PoCUS alone is difficult except in case of sepsis where foci of sepsis, such as consolidation, air bronchogram, gallbladder wall thickening, limb cellulitis, or hypoechoic pancreas, is present. In all other causes of distributive shock, associated hypovolemia will be the only finding on PoCUS alone. In these cases, the diagnosis would be recorded as hypovolemic shock. Hyperkinetic LV was a common finding in patients with distributive shock. The presence of hyperkinetic LV in PoCUS as an independent predictor of septic shock is illustrated by a study done by Jones et al.1,13

Obstructive shock was found to be difficult to diagnose with clinical evaluation alone. However, with high clinical suspicion, addition of PoCUS was very efficient in picking up the diagnosis and also equally reliable in excluding the diagnosis of obstructive shock. This is especially important in obstructive shock as the management in these cases is specific and time is of the essence.

The trained EP’s determination of EF using subjective measurement was found to be comparable to that of the cardiologist’s estimate of EF in 88% of patients with hypokinesia. This finding was similar to two other studies by Mueller, et al., and Moore et al.4,18 The overestimate of hypokinetic LV after PoCUS was found in patients with mixed shock of distributive and cardiogenic shock, where the cardiogenic component may have resolved due to early treatment, which would have normalized on subsequent scan.

All three combinations of shock (cardiogenic with obstructive, cardiogenic with distributive, and hypovolemic with distributive) were grouped as mixed shock for convenience and for comparison. Our study was comparable to three other studies, Ghane et al. and Bagheri et al. based on the RUSH protocol and Ahn et al. based on the SEARCH8E protocol,6,15,17 as illustrated in Table 5.

The accuracy of ED diagnosis was found to be in almost perfect agreement with the final diagnosis with Cohen’s kappa coefficient of 0.89. This was similar to that of Ahn et al., Volpicelli et al., and Shokoohi et al. study among other studies.6,15,17,19,20

The observations based on our study data reinforce the importance of developing a specific diagnostic algorithm to elucidate the etiology of undifferentiated hypotension as majority of the patients warranted specific and unique treatments. In a way, there might be a window of opportunity for the EP to provide more accurate diagnosis and a more specific treatment in this set of patients than just infusion of crystalloid and monitoring of hemodynamic indices.2,3 Access to the PoCUS information allowed EPs to be almost 40% more accurate than clinicians who had access to information on standard clinical examination alone. As with any imaging study, the findings of the PoCUS need to be interpreted in the context of the clinical setting. This helps explain why abnormal findings on PoCUS alone sometimes did not match the final diagnosis and often required further interpretation to determine whether the findings were significant. For example, 36% of patients had severe cardiac dysfunction, but the EPs needed to use data from clinical examination to decide if this finding indicated a significant pathological process (e.g., myocardial ischemia or hypodynamic sepsis) or a process that was probably not the cause of hypotension (e.g., chronic heart failure in a dehydrated patient). Indeed, the data suggest that normal findings on ultrasound examination were often used by EPs to objectively exclude potential causes of undifferentiated hypotension that are otherwise difficult to eliminate at the bedside (e.g., abdominal aortic aneurysm).

Table 4:: Comparison of demographic profile, vitals, and clinical characteristics of patients
VariablePresent studyJones et al. study2 (adverse outcome)Shokoohi et al. study13
Age (years)51.7 ± 18.8858 ± 15.661.6
Gender (%)M-60M-80.2M-61.0
SBP (mm Hg)78.583 ± 12.874.6
DBP (mm Hg)35.844.8
Pulse rate (beats/minute)106.98108 ± 28.594.9
Respiratory rate (breaths/minute)28.526 ± 8.1
Oxygen saturation (%)85.9993 ± 7.7
GRBS (gm/dL)176.85 ± 113.26161 ± 97.4
Temperature (°F)99.22 ± 1.8999 ± 2.898.0
Total WBC count (cells/mm3)16.30 ± 7.3912 ± 6.69.26
ComorbiditiesHypertension (39%), diabetes (33%)Hypertension (56%), congestive heart failure (33%)
Table 5:: Comparison of reliability indices and Cohen’s kappa coefficient
Type of shockReliability indicesOur study (n = 100)Ghane et al. (n = 77)Bagheri-Hariri et al. (n = 148)Ahn et al. (n = 308)
CardiogenicSensitivity (%)100.00  90.00  60.00  94.30
Specificity (%)  98.70  98.00100.00  97.90
PPV (%)  95.20  94.70100.00  93.00
NPV (%)100.00  97.00  90.9  98.30
Cohen’s (κ)    0.9500    0.89    0.71    0.90
HypovolemicSensitivity (%)100.00100.00100.00100.00
Specificity (%)  98.00  96.20  72.7  98.40
PPV (%)  85.70  88.90  82.4  28.60
NPV (%)100.00100.00100.00100.00
Cohen’s (κ)    0.8570    0.920    0.750    0.439
ObstructiveSensitivity (%)100.00  90.90100.00
Specificity (%)100.00  98.20100.00
PPV (%)100.00  90.90100.00
NPV (%)100.00  98.30100.00
Cohen’s (κ)    1.0000    0.890    1.00
DistributiveSensitivity (%)  73.68  72.70  75.00  63.60
Specificity (%)100.00100.00100.00  99.70
PPV (%)100.00100.00100.00  87.50
NPV (%)  86.11  95.10  95.50  98.70
Cohen’s (κ)    0.7170    0.810    0.830    0.729
MixedSensitivity (%)  92.00  63.6100.00
Specificity (%)  90.41  98.2100.00
PPV (%)  76.47  87.5100.00
NPV (%)  97.00  93.3100.00
Cohen’s (κ)    0.7640    0.700    1.000
CompositeCohen’s (κ)    0.89    0.71    0.84    0.870

The addition of the PoCUS to standard care afforded EPs with the ability to compile a more accurate list of possible causes of nontraumatic undifferentiated hypotension. Narrowing the differentials drawn at clinical evaluation alone to a single diagnosis is especially important in patients with diagnosis of obstructive and cardiogenic shock, where even small delay in diagnosis and treatment can result in fatality. Looking at the subgroup of those patients with multiple differentials after clinical evaluation (n = 14), the addition of PoCUS gave a single true diagnosis in 79% (n = 11). In 44 out of 55 patients, where the admission diagnoses based on clinical evaluation alone could have been incorrect, addition of data from multi-organ PoCUS resulted in a change to the correct diagnoses.

This suggests that while clinical evaluation alone or PoCUS alone is equally unreliable in precisely diagnosing a patient with unknown shock, the use of PoCUS as a supplement to clinical evaluation markedly improves accuracy of diagnosis in the ED itself and can guide appropriate treatment.

CONCLUSION

This study contributes to the body of evidence supporting the use of multi-organ PoCUS in patients presenting with undifferentiated hypotension to the ED. Clinical evaluation alone was found to be poorly sensitive or specific in the critically ill and rapidly deteriorating patients. Supplementation with focused PoCUS allowed the diagnostic accuracy to rise to reliable levels. It has proved to be a valuable tool in narrowing the possible differentials, thereby guiding the EP in an early goal-directed therapy and improving the final outcome of the patients. This combined clinical evaluation and PoCUS can be used as a routine approach and should form part of the standard training for all EPs dealing with this patient group.

Limitation

This was a single-center study. The study group was limited to a small number of 100 patients.

  • We have considered only consolidation and air bronchogram as foci of sepsis.
  • No systematic method was used to assign the patients for PoCUS evaluation.
  • This study did not incorporate any goal-directed outcome like time to definitive treatment or in-hospital mortality.
Annexure 1:: Criteria for establishing Diagnosis 1 (clinical evaluation alone)
Cardiogenic shock
  • Any or a combination of the below associated with chest pain
  • Syncope, pain abdomen, generalized weakness, seizures, altered sensorium, vomiting, loose stools
  • ECG findings with ST elevation, ST depression, T inversion, LBBB
  • Raised JVP, pedal edema, anasarca, ascites, tender hepatomegaly, hepatojugular reflex
  • History of progressive breathlessness, paroxysmal nocturnal dyspnea, orthopnea, dyspnea on exertion
  • Past history of cardiac, pulmonary, or renal disease, diabetes, hypertension
Hypovolemic shock
  • Any or a combination of the below associated with vomiting or loose stools or both without fever and normal temperature at ED evaluation
  • Pain abdomen, generalized weakness
  • History of hematemesis, bleeding per rectum, hemoptysis, heat stoke
  • UPT positive with sudden onset of abdominal pain
Obstructive shock
  • Sudden-onset breathlessness or chest pain with history suggestive of DVT
Distributive shock
  • Any or combination of the below with fever or temperature >100.4°F at ED evaluation
  • Altered sensorium, breathlessness, pain abdomen, generalized weakness, cough, seizures, vomiting, loose stools
  • Only fever or temperature >100.4°F at ED evaluation
  • Evident focus of sepsis on clinical examination
  • History suggestive of anaphylaxis, hepatic insufficiency, pancreatic insufficiency, CVA, nontraumatic SAH, spinal cord pathology
Cardiogenic with distributive shock
  • Clinical history suggestive of cardiogenic shock with evident focus of sepsis, SIRS on clinical examination
Hypovolemic with distributive shock
  • Clinical history suggestive of hypovolemia with evident focus of sepsis on clinical examination
Annexure 2:: Criteria for establishing Diagnosis 2 (PoCUS alone)
Cardiogenic shock
  • Hypokinetic LV or hypokinetic LV and RV with IVC >2 cm dilated and noncollapsing on PoCUS.
Hypovolemic shock
  • Hyperkinetic LV with >50% collapsing IVC of diameter %3C;2 cm
  • Only %3E;50% collapsing IVC of diameter <2 cm
  • Abdominal PoCUS suggestive of free fluid with >50% collapsing IVC of diameter <2 cm with or without hyperkinetic LV
Obstructive shock
  • Hypokinetic RV with multiple A lines with or without consolidation and noncollapsing IVC of diameter >2 cm with or without DVT on PoCUS
  • Pericardial effusion with or without hypokinetic RV and noncollapsing IVC of diameter >2 cm on PoCUS
Distributive shock
  • Consolidation associated with or without air bronchogram with or without IVC collapsing on PoCUS
Cardiogenic with distributive shock
  • Features suggestive of cardiogenic shock with evident focus of sepsis on PoCUS
Hypovolemic with distributive shock
  • Features suggestive of hypovolemia with evident focus of sepsis on PoCUS
Annexure 3:: Criteria for establishing Diagnosis 3 (combination of data from clinical evaluation and PoCUS)—Column A + Column B
Type of shockColumn A (clinical evaluation alone)Column B (PoCUS alone)
Cardiogenic shock
  • Any or a combination of the below associated with chest pain
  • Hypokinetic LV or hypokinetic LV and RV with IVC >2 cm dilated and noncollapsing on PoCUS
  • Syncope, pain abdomen, generalized weakness, seizures, altered sensorium, vomiting, loose stools
  • ECG findings with ST elevation, ST depression, T inversion, LBBB
  • Raised JVP, pedal edema, anasarca, ascites, tender hepatomegaly, hepatojugular reflex
  • History of progressive breathlessness, paroxysmal nocturnal dyspnea, orthopnea, dyspnea on exertion
  • Past history of cardiac, pulmonary, or renal disease, diabetes, hypertension
Hypovolemic shock
  • Any or a combination of the below associated with vomiting or loose stools or both without fever and normal temperature at ED evaluation
  • Hyperkinetic LV with >50% collapsing IVC of diameter <2 cm
  • Pain abdomen, generalized weakness
OR
  • History of hematemesis, bleeding per rectum, hemoptysis
  • Only >50% collapsing IVC of diameter <2 cm OR
  • UPT positive with sudden onset of abdominal pain
  • Abdominal PoCUS suggestive of free fluid with >50% collapsing IVC of diameter <2 cm with or without hyperkinetic LV
Obstructive shock
  • Breathlessness or chest pain with history suggestive of DVT
  • Hypokinetic RV with multiple A lines with or without consolidation and noncollapsing IVC of diameter >2 cm with or without DVT on PoCUS
OR
  • Pericardial effusion with or without hypokinetic RV and noncollapsing IVC of diameter >2 cm on PoCUS
Distributive shock
  • Any or combination of the below with fever or temperature >100.4°F at ED evaluation abdomen, generalized weakness, cough, seizures, vomiting, loose stools
  • Consolidation associated with or without air bronchogram with or without IVC collapsing on PoCUS
  • Altered sensorium, breathlessness, pain
OR
  • Only fever or temperature > 100.4°F at ED evaluation
  • Evident focus of sepsis on clinical examination
  • History suggestive of anaphylaxis, hepatic insufficiency, pancreatic insufficiency, CVA, nontraumatic SAH, spinal cord pathology
Cardiogenic with distributive shock
  • Clinical history suggestive of cardiogenic shock with evident focus of sepsis, SIRS on clinical examination
  • Features suggestive of cardiogenic shock with evident focus of sepsis on PoCUS
Hypovolemic with distributive shock
  • Clinical history suggestive of hypovolemia with evident focus of sepsis, SIRS on clinical examination
  • Features suggestive of hypovolemia with evident focus of sepsis on PoCUS

Acknowledgments

We would like to acknowledge the generous contribution toward the conduct of this study by our colleagues, Dr Veeresh Balkal, Dr Ruben Omar, Dr Abhijith Sivashankar, Dr Suraj GB, Dr Krishnamoorthy DGSR, Dr Aishwarya Krishnan, and Dr Srivatsa S, our nursing staff, and the participating patients.

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