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Erschienen in: Journal of Medical Case Reports 1/2022

Open Access 01.12.2022 | Case report

Early diagnosis of sepsis using an E-health application for a clinical early warning system outside of the intensive care unit: a case report

verfasst von: Daniel Aiham Ghazali, Philippe Kenway, Christophe Choquet, Enrique Casalino

Erschienen in: Journal of Medical Case Reports | Ausgabe 1/2022

Abstract

Background

Elderly and frail patients who are unable to call for help in case of vital distress can develop complications during their hospitalization. As a supplement to clinical monitoring by the nursing staff, these patients can also be monitored in real time, with the Sensium E-health technology. An application notifies clinical staff of any change in their vital signs (heart rate, respiratory rate, temperature) outside of normal ranges, suggestive of physiological decline. Nurses and physicians are notified of these abnormal changes by email and also via mobile application (iPhone or iPad), allowing early intervention to prevent further deterioration.

Case presentation

An 86-year-old Caucasian female, with chronic kidney disease, was hospitalized in our medical unit for pyelonephritis associated with a moderate deterioration of serum creatinine. Remote continuous monitoring allowed us to diagnose clinical deterioration early and adjust her treatment. The treatment improved her clinical condition and amended the secondary sepsis with circulation failure in 2 days.

Conclusions

The prognosis for patients with acute complicated pyelonephritis is much worse than for those with uncomplicated pyelonephritis. Remote continuous monitoring might be helpful to early diagnose urosepsis. This technology leads to improved prognosis of patients without initial vital distress, allowing early treatment and admission to intensive care unit.
Hinweise

Publisher’s Note

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Abkürzungen
GCS
Glasgow Coma Score
ICU
Intensive care unit
HR
Heart rate
MAP
Mean arterial pressure
RR
Respiration rate
SOFA
Sequential [Sepsis-related] Organ Failure Assessment

Background

Older and frail patients having an infectious disease without vital distress are hospitalized outside of an intensive care unit (ICU). These patients have a major risk of deterioration in the first hours after their treatment is initiated. Moreover, in case of hemodynamic or respiratory worsening related to sepsis, these patients are usually unable to call for help [1]. E-health technology can assist nurses and physicians in the management of patients when hospitalization in the ICU is not initially required [2]. In hospital wards, where the nurse-to-patient ratio is lower than in post-anesthesia care units or ICUs, one-third of vital sign spot checks are not done on time [3]. Medical-grade wireless and wearable sensors facilitate continuous monitoring and may improve outcomes in hospital wards [4]. However, most studies to date have explored the use of remote monitoring for cardiovascular diseases or surgical and postoperative complications [5]. The present case report illustrates the benefit of using remote continuous monitoring for the early detection of sepsis outside the ICU, revealed by increase in heart rate (HR) and respiration rate (RR). In our hospital, the remote monitoring technology deployed is the Sensium E-health system, which measures vital parameters via wireless connection every two minutes, thus enabling the closer monitoring of ward-based patients [6]. Nurses and physicians are alerted by email and with the iOS application (iPhone or iPad, Apple) in case of any change of the patients’ vital signs (HR, RR, temperature) and allows the calculation of early warning scores.

Case presentation

An 86-year-old Caucasian female had a history of high blood pressure and diabetes with chronic kidney disease. Gynecologic and obstetric history were gravida 2, para 2 (G2P2), with two healthy children. The onset of menopause was at the age of 51 years. She was a widow, lived alone, and was a former schoolteacher retired since the age of 65 years. She did not smoke or drink alcohol. Her medications were: perindopril (oral route) 4 mg once a day, metformin (oral route) 500 mg two times a day, and insulin glargine injection 100 units/mL, 16 IU once a day at the same time. She was hospitalized in our medical unit within the emergency department for pyelonephritis associated with a moderate deterioration of the serum creatinine from 114 μmol/L to 139 μmol/L (normal range 50–100 μmol/L). Her initial vital signs included RR of 19 breaths per minute, HR of 112 beats per minute with regular pulse, and blood pressure (BP) of 107/59 mmHg with mean arterial pressure (MAP) of 75 mmHg. Initial clinical examination of this patient revealed that she had a temperature of 38.9 °C with sweating, unilateral left flank pain, and nausea. Cardiovascular, pulmonary, and neurological examinations were normal. Laboratory investigations indicated a bacterial infection with procalcitonin of 0.56 µg/L and white blood cell count of 24.0 × 103/mm3 (normal range 4–10 × 103/mm3) including 21.6 × 103/mm3 neutrophils. Initial arterial lactate was 1.90 mmol/L. Other blood tests were within the reference range (Table 1). Urine dipstick test confirmed a urinary tract infection with positive dipstick hematuria, and leukocyte esterase and nitrite tests returned positive. The treatment consisted of intravenous administration of cefotaxime 1 g/8 hours antibiotic and 0.9% saline 500 mL over a period of 30 minutes and then 1000 mL/12 hours, and pain and fever management. HR was 91 beats per minute, blood pressure 135/79 mmHg (MAP 98 mmHg), and serum lactate 1.3 mmol/L after treatment. Remote continuous monitoring was used in the ward to monitor the patient in real time (Figure 1A) in addition to the nursing monitoring, which included the measurement of vital signs every 8 hours. Remote monitoring does not replace nursing monitoring, which also records the assessment of pain and other patient complaints as well as delivering care. By using a patch worn on the patient chest associated with an axillary temperature sensor, smart algorithms continuously process and analyze vital signs [6, 7]. The E-health technology aimed to generate targeted notifications of patient deterioration. The objective was to detect a possible deterioration of the vital signs in the time periods between the manual monitoring by the nurses in the hospital setting. In addition to regular monitoring on standard Personal Computer (PC) stations (Fig. 1B and C), surveillance was also conducted by iPad (Apple). iPads were attached to trolleys used by nurses, allowing them to continually monitor all patients while doing rounds (Fig. 1D). In the present case, the emergency nurse and physician received an alert by email and the Sensium application on 29 August 2018 at 12:56 pm indicating a sudden increase of HR from 115 to 140 beats per minute, an increased RR from 22 to 35 breaths per minute, and an elevated temperature of 39.6 °C (Fig. 2A and B). Computed tomography (CT) scan was carried out and found multiple foci of nephritis of the upper pole of the right kidney. No dilatation of the pyelocaliceal cavities or obstruction of the urinary excretory tract was seen (Fig. 3). Upon manual monitoring, clinical examination, and biological tests, sepsis was diagnosed on the basis of the Sequential [Sepsis-related] Organ Failure Assessment (SOFA) score calculation [8]. SOFA was 6: Coma Glasgow Score (CGS) 14, BP 97/48 mmHg (MAP 64 mmHg), Arterial partial pressure of oxygen (PaO2) 76 mmHg and PaO2/The fraction of inspired oxygen (FiO2) 362, deterioration of the serum creatinine from 139 to 172 μmol/L, and platelet count 141,000/µL. There was no bilirubin abnormality. Therapeutic reinforcement was performed with oxygen therapy 2 L per minute because PaO2/FiO2 ratio was < 400; a single daily dose of amikacin 30 mg/kg (1800 mg intravenous injection over a period of 30 minutes) in addition to cefotaxime 2 g intravenous injection, 1 L of isotonic crystalloid 0.9% saline in 15 minutes because MAP was < 70 mmHg; and paracetamol 1 g intravenously. This treatment improved her clinical condition and reversed vital distress at 02:32 pm with HR of 112 beats per minute and RR of 22 breaths per minute (Fig. 2B and C). She was admitted to the intensive care unit. Blood culture and cytobacteriological examination of urine found Escherichia coli [106 colony-forming units (CFU)/mL] with established sensitivity to third-generation broad-spectrum bactericidal cephalosporin antibiotics (Table 2). Treatment with cefotaxime 6 g per day was continued at a dosage of 2 g/8 hours intravenously. Her vital signs stabilized within 2 days, and she returned to a lower acute ward: HR 90 beats per minute, RR 17 breaths per minute, Glasgow Coma Score (GCS) 15, MAP 87 mmHg, PaO2 91 mmHg, serum creatinine 116 μmol/L, and platelet count 183,000/µL. Antibiotic was changed at the fifth day for ciprofloxacin twice a day (every 12 hours) in the morning and evening, based on the antibiogram (Table 2). After 8 days of hospitalization, the patient was allowed to return home with treatment by ciprofloxacin twice a day (every 12 hours) in the morning and evening for a duration of 7 days. A follow-up of the patient was carried out at 7 days, which did not show any anomaly. No complications were observed by her general practitioner at 1 month, 6 months, and 1 year.
Table 1
Initial blood sample in the emergency department
Examination
Result
Unit
Usual value
Interpretation
Blood chemistry tests
 Glucose
8.4
mmol/L
4.1–5.9
Above high normal
 Sodium
137
mmol/L
135–145
Normal
 Potassium
4.4
mmol/L
3.5–5
Normal
 Chlorine
98
mmol/L
98–108
Normal
 Bicarbonate
27
mmol/L
24–32
Normal
 Calcium
2.58
mmol/L
2.18–2.6
Normal
 Phosphorus
1.38
mmol/L
0.78–1.45
Normal
 Anion gap
16
mmol/L
 
 Plasma proteins
74
g/L
57–82
Normal
 Creatinine
139
µmol/L
44–71
Above high normal
 Urea
8.7
mmol/L
3.2–8.2
Above high normal
 Creatinine clearance (MDRD equation)
33
mL/min
> 90
Below low normal
 Aspartate aminotransferase (AST)
96
U/L
13–40
Above high normal
 Alanine aminotransferase (ALT)
122
U/L
< 40
Above high normal
 Total bilirubin
42
µmol/L
5–21
Above high normal
 Indirect bilirubin
21
µmol/L
< 18
Above high normal
 Alkaline phosphatase
217
U/L
46–116
Above high normal
 Gamma-glutamyl transferase
203
U/L
< 38
Above high normal
 Lipase
24
U/L
12–53
Normal
 CRP (C-reactive protein)
199.4
mg/L
< 5
Above high normal
 Procalcitonin
0.56
µg/L
  
Complete blood count (CBC)
 White blood cells
24.0
103/mm3
4–10
Above high normal
 Red blood cells
4.43
106/mm3
3.8–5.2
Normal
 Hemoglobin
14.9
g/dL
11.5–16
Normal
 Hematocrit
40.8
%
35–45
Normal
 Mean blood volume
92.1
µL3
80–100
Normal
 Mean blood content
30.0
pg
27–32
Normal
 Blood Hb concentration
32.6
%
32–36.5
Normal
 Platelets
195
103/mm3
150–400
Normal
 Formula: neutrophils
90.1%, 21.6 × 103/mm3
 
 Formula: eosinophilic polynuclears
0.0%, 0.0 × 103/mm3
 
 Formula: basophilic polynuclears
0.2%, 0.0 × 103/mm3
 
 Formula: lymphocytes
3.8%, 0.9 × 103/mm3
 
 Formula: monocytes
5.9%, 1.4 × 103/mm3
 
 Blood clotting tests
    
 PT: control
11.7
Seconds
 
 PT: patient
13.1
Seconds
 
 PT: prothrombin rate
80
%
70–100
Normal
 INR
1.11
 
 aPTT (control)
24.4
Seconds
 
 aPTT (sick)
23.6
Seconds
 
 aPTT (ratio)
0.97
Null
≤ 1.2
Normal
Arterial blood gas
 pH
7.426
Null
7.38–7.42
Above high normal
 PaO2
76.0
mmHg
80–100
Below low normal
 PaCO2
39.2
mmHg
38–42
Normal
 HCO3
26.5
mmol/L
21–28
Normal
 Base excess/deficit
1.4
mmol/L
 
 SaO2
94.0
%
95–99
Below low normal
 Arterial lactates
1.90
mmol/L
< 1.6
Above high normal
PT prothrombin, INR International Normalized Ratio, aPTT Activated Partial Thromboplastin Time, pH potential of hydrogen, SaO2 oxygen saturation, PaO2 partial pressure of oxygen, PaCO2 partial pressure of carbon dioxide, HCO3 Concentration of hydrogen carbonate, Hb Hemoglobin, MDRD Modification of Diet in Renal Disease
Table 2
Urine culture and antimicrobial susceptibility test results
Examination
Result
Unit
Usual value
Direct examination
 Number of red blood cells
6
103/mL
≤ 10.103/mL
 Number of leukocytes
126
103/mL
≤ 10.103/mL
Semi-quantitative cytology
 Epithelial cells
Some
  
 Oxalate crystals
Some
  
Culture
 Bacterial species: Escherichia coli
106
CFU/mL
 
Antibiotic susceptibility testing
 Dilution method in liquid medium (Vitek 2 Biomérieux)
Bacterial species: Escherichia coli
 Ampicillin
R
  
 Amoxicillin + clavulanic acid
R
  
 Ticarcillin
R
  
 Piperacillin + tazobactam
S
  
 Mecillinam
S
  
 Cefoxitine
S
  
 Cefixime
S
  
 Ceftazidim
S
  
 Ceftriaxone
S
  
 Amikacin
S
  
 Gentamicin
S
  
 Ofloxacin
S
  
 Fosfomycin
S
  
 Nitrofurantoin
S
  
 Trimethoprim + sulfonamides
S
  
R resistance, S sensitivity

Discussion

This case presentation reported a case of right acute pyelonephritis due to Escherichia coli leading to urosepsis. Because of the patient’s high-risk condition with chronic kidney disease and deteriorating renal function, as well as the initial fluid repletion with isotonic crystalloid solution, the patient was hospitalized. In the absence of initial vital distress, she was transferred from the ICU to a medical ward with real-time monitoring using E-health technology in addition to the usual clinical monitoring by the nurse staff, which was carried out three times per day. The E-health technology revealed the first signs of deterioration before manual vital observations and led to treatment of urosepsis quicker than would have been the case if a nurse had performed clinical surveillance. The evolution toward complicated pyelonephritis led us to perform a blood culture and an ultrasound, then a second CT scan, in addition to the urine culture in accordance with the recommendations [9]. The early diagnosis of sepsis led to an adaptation of the treatment with, among others, the addition of amikacin in accordance with the recommendations [9]. Early diagnosis and treatment reduced complication of shock, reducing the length of stay in the hospital and avoiding complications at 1 year.
Urinary tract infection is the most common bacterial infection and mainly caused by Escherichia coli. Sepsis is one of the complications of acute pyelonephritis and is the main factor influencing the prognosis of pyelonephritis [10]. Urosepsis has a mortality of 20–40%, and as the population ages, the incidence rise [11]. Sepsis is defined as life-threatening organ dysfunction caused by a dysregulated host response to infection. Clinically, organ dysfunction is indicated by an increase in the SOFA score of 2 points or more [12]. Early diagnosis of sepsis and septic shock enables early treatment, leading to clinical improvement [13]. This case report highlights that wireless and wearable sensors facilitate continuous monitoring and may improve outcomes in hospital wards. In septic pathologies, these systems have been described in the context of pulmonary sepsis [4] but not in sepsis of other origins. In the present case, the patient was diagnosed with pyelonephritis, based on the combination of the clinical symptoms and a positive urine dipstick test. The hospitalization was indicated because the patient was over 60 years old and presented with persistent vomiting [14]. The patient did not initially require management in ICU, since there was initially no sign of sepsis and serum lactate level was less than 2 mmol/L [15]. However, the interval between each round of clinical surveillance by a nurse, usually 6–8 hours, can delay the observation of clinical deterioration if the patient is unable to call caregivers for help. Because of initial tachycardia and abnormal renal function, this patient was monitored in real time, using remote continuous monitoring in our medical unit. This clinical early warning system allowed faster treatment after evidence of sepsis, as previously suggested by Downey et al. [2]. Conversely, it is not possible to admit these patients at high risk of complications without signs of vital distress to an ICU in anticipation of potential deterioration. Early appropriate antibiotic administration reduces in-hospital mortality [16]. Adjuvant treatment with oxygen therapy and early aggressive fluid therapy should be beneficial in sepsis resuscitation [17]. The two earliest indicators of patient deterioration are RR and HR [18, 19]. This wireless system is a way of deciding whether to admit a patient to an ICU according to clinical evolution after early diagnosis and treatment. It is not a substitute for a reference monitoring in ICU but can be useful for decision-making. It may provide a benefit in terms of improved patient outcomes and cost efficiency [6]. To make the deployment of the system cost-effective, in addition to using each patch to monitor a patient over several days to lower the daily cost (each single-use patch has a 5-day lifetime), it is possible to target patients for whom the risk of complications is non-negligible. Thus, this clinical case highlights the possibility of using this innovative system to improve the management of older and frail patients with an initial isolated RR or HR abnormality without any other associated failure that would justify admission to ICU. The continuous monitoring of vital signs outside the ICU is feasible using smart technology (laptop, iPhone, or iPad) integrated into the nurses’ trolleys to improve nursing monitoring. Several wearables and wireless sensors were developed to detect patient deterioration early. Breteler et al. compared some of these systems with an ICU monitoring system [20]. All of them were highly accurate for HR. For RR, the accuracies of the Massimo Radius-7 (Masimo Corporation, USA), EarlySense (EarlySense Ltd., Israel), and SensiumVitals (Sensium Healthcare Ltd., United Kingdom) were within a predefined acceptable range [20].

Conclusion

Urinary tract infection, the most common bacterial infection, is mainly caused by Escherichia coli and can lead to urosepsis. This case illustrates that, in patients presenting acute pyelonephritis at risk of complication but without initially severe symptoms, E-health technology can contribute to early diagnosis of vital sign deterioration and treat urosepsis quicker than the standard of care.

Acknowledgements

We would like to thank Dr Maximilien Guericolas, an American citizen and emergency physician working in France for having reviewed the English-language text.

Declarations

The Emergency Ethics Committee for Biomedical Research of Assistance Publique-Hôpitaux de Paris approved this study since all data are completely anonymous. The patient consented to the use of anonymous data.
Written informed consent was obtained from the patient for publication of this case report and any accompanying images. A copy of the written consent is available for review by the Editor-in-Chief of this journal.

Competing interests

The authors declare that they have no competing interests.
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Literatur
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Zurück zum Zitat Ramakrishnan K, Scheid DC. Diagnosis and management of acute pyelonephritis in adults. Am Fam Physician. 2005;71(5):933-42. Erratum in: Am Fam Physician. 2005;72(11):2182. PMID: 15768623. Ramakrishnan K, Scheid DC. Diagnosis and management of acute pyelonephritis in adults. Am Fam Physician. 2005;71(5):933-42. Erratum in: Am Fam Physician. 2005;72(11):2182. PMID: 15768623.
Metadaten
Titel
Early diagnosis of sepsis using an E-health application for a clinical early warning system outside of the intensive care unit: a case report
verfasst von
Daniel Aiham Ghazali
Philippe Kenway
Christophe Choquet
Enrique Casalino
Publikationsdatum
01.12.2022
Verlag
BioMed Central
Erschienen in
Journal of Medical Case Reports / Ausgabe 1/2022
Elektronische ISSN: 1752-1947
DOI
https://doi.org/10.1186/s13256-022-03385-9

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