Introduction: Deep brain stimulation (DBS) requires a consistent electrical supply from the implantable pulse generator (IPG). Patients may struggle to monitor their IPG, risking severe complications in battery failure. This review assesses current literature on DBS IPG battery life management and proposes a protocol for healthcare providers. Methods: A literature search using four databases identified best practices for DBS IPG management. Studies were appraised for IPG management guidelines, categorized as qualitative, quantitative, or both. Results: Of 408 citations, only seven studies were eligible, none providing clear patient management strategies. Current guidelines lack specificity, relying on clinician suggestions. Conclusion: Limited guidelines exist for IPG management. Specificity and adaptability to emerging technology are crucial. The findings highlight the need for specificity in patients’ needs and adaptability to emerging technology in future studies. To address this need, we developed a protocol for DBS IPG management that we have implemented at our own institution. Further research is needed for effective DBS IPG battery life management, preventing therapy cessation complications.

Deep brain stimulation (DBS) is an FDA-approved therapeutic modality for various neurological and psychological disorders. DBS has shown significant improvements in patients’ disease symptoms and quality of life [1]. However, the success of DBS therapy depends on the continuous availability of electrical power to deliver adequate therapy from the implantable pulse generator (IPG). Unfortunately, patients and physicians may not be aware of the power status of the IPG, which puts patients at risk of sudden therapy drop-off or cessation. This can result in complications such as severe rebound tremor, catatonia, pain, and, in rare cases, death [2, 3].

One of the first solutions devised for preventing the end-of-service (EOS) of non-rechargeable IPGs was the rechargeable IPG. However, while recharging is generally considered simple and straightforward, these devices may not be suitable for all patients, such as those with limited social support, advanced age, and cognitive issues [4]. Previous studies have also shown that patients frequently prefer non-rechargeable IPGs, reporting that charging their devices feels restrictive [5, 6].

Despite recent strides in DBS IPG battery technology [7], inadvertent cessation of therapy from DBS IPG EOS remains a key issue. This review seeks to explore protocols for postoperative management of fixed-life IPGs in North American healthcare centers. It aimed to assess current literature on DBS IPG battery life management and proposes a protocol for healthcare providers.

Literature Review

This literature review followed the PRISMA 2020 statement (https://doi.org/10.1136/bmj.n71) for systematic reviews and meta-analyses. A thorough search for North American healthcare system protocols, encompassing diverse study designs, focused on English publications from 2012 to the present. Exclusions included animal studies and those unrelated to postoperative IPG battery life management. MEDLINE, CINAHL Complete, SCOPUS, and EBSCOhost databases were systematically searched using defined keywords. Gray literature, or unpublished but publicly available literature, was examined for completeness. The University of Oklahoma Health Sciences Center Bird Library librarian collaborated to ensure accuracy. Two independent reviewers (S.J.O. and H.H.S.) screened results based on pre-defined criteria, with disagreements resolved through discussion or senior review (A.K.C.). Selected full texts explicitly discussing IPG life management protocols were included. Data extraction covered author details, study design, outlined guidelines, and internal protocol assessment. Guidelines were categorized as qualitative, quantitative, or both for simplification, and an outline of the literature review was created following the PRISMA flowchart guidelines (Fig. 1).

Fig. 1.

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Flowchart to allow for transparent literature review reporting.

Fig. 1.

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Flowchart to allow for transparent literature review reporting.

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Protocol Design

We crafted a protocol for non-rechargeable IPG management based on patient concerns during DBS implantation and literature on device management in similar contexts. Input was gathered from the patient's care team, including movement disorder neurologists and IPG manufacturers. We plan to implement this protocol fully after creating the required patient educational resources and communicating institutional changes to collaborating neurologists and device representatives.

Literature Review

Of the 408 citations screened, seven met inclusion criteria and were reviewed (Table 1). Out of all included studies, five studies attempted to outline a qualitative narrative guideline for managing IPG battery longevity. One attempted to create a web-based quantitative calculator to estimate the battery life of IPGs. Moreover, another presented both a qualitative and quantitative guidance method. Another evaluated their presented protocols in comparison to estimators from IPG manufacturers with statistical analysis.

Table 1.

Results and data extraction

AuthorTitleStudy designLocation of instituteProtocol outlineProtocol classificationInternal assessment of protocol
Fakhar et al. 2013 [15Management of deep brain stimulator battery failure: battery estimators, charge density, and importance of clinical symptoms Retrospective chart review study University of Florida (UF) Use of DBS battery estimator techniques (UF and the medtronic helpline) Both Yes 
Observation of clinical worsening that could be rescued by replacement 
Fasano et al. 2020 [9Management of advanced therapies in Parkinson’s disease patients in times of humanitarian crisis: the COVID-19 experience Literature review Toronto Western Hospital Patients must avoid the emergency room Qualitative N/A 
If patent cannot undergo replacement, strategy to gradually reduce stimulation amplitude and compensate by increasing levodopa to avoid an acute cessation 
Providing Levodopa for patient with mild risk 
Life-threatening conditions indicate responsibility of the care team to be informed and send a request for an urgent IPG replacement 
List additional precautions (i.e., blood work and infective screening) 
Miocinovic et al. 2020 [10Recommendations for deep brain stimulation device management during a pandemic Article commentary Emory University, Atlanta, GA, USA  A flowchart was provided by Miocinovic Qualitative N/A 
Montuno et al. 2013 [11An algorithm for management of deep brain stimulation battery replacements: devising a web-based battery estimator and clinical symptom approach Literature review University of Florida (UF) DBS battery estimators were constructed by the authors at http://mdc.mbi.ufl.edu/surgery/dbs-battery-estimator A flowchart devising their management strategies Quantitative N/A 
Rammo et al. 2021 [12The need for digital health solutions in deep brain stimulation for Parkinson’s disease in the time of COVID-19 and beyond Literature review Cleveland Clinic Foundation, Cleveland, OH, USA List that a successful DBS care protocols have five core requirements in respect to remote DBS programming that comprise novel challenges to overcome: Qualitative N/A 
1. Cognitive capacity 
2. Physical safety 
3. Physical capacity 
4. Connectivity 
5. Technological security 
Sarica et al. 2021 [13Implantable pulse generators for deep brain stimulation: challenges, complications, and strategies for practicality and longevity Article commentary University of Toronto, Toronto, ON, Canada Proposes abbott neurosphere virtual clinic as the versatile future of DBS management Emphasizes Neurosphere’s ability to optimize stimulation parameters and adjust using patient factors using a GUIDE protocol Qualitative N/A 
Frey et al. 2022 [14Past, present, and future of deep brain stimulation: hardware, software, imaging, physiology and novel approaches Review Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA Informs that providers should interpret PGs setting parameters to estimate the length of battery life Qualitative N/A 
AuthorTitleStudy designLocation of instituteProtocol outlineProtocol classificationInternal assessment of protocol
Fakhar et al. 2013 [15Management of deep brain stimulator battery failure: battery estimators, charge density, and importance of clinical symptoms Retrospective chart review study University of Florida (UF) Use of DBS battery estimator techniques (UF and the medtronic helpline) Both Yes 
Observation of clinical worsening that could be rescued by replacement 
Fasano et al. 2020 [9Management of advanced therapies in Parkinson’s disease patients in times of humanitarian crisis: the COVID-19 experience Literature review Toronto Western Hospital Patients must avoid the emergency room Qualitative N/A 
If patent cannot undergo replacement, strategy to gradually reduce stimulation amplitude and compensate by increasing levodopa to avoid an acute cessation 
Providing Levodopa for patient with mild risk 
Life-threatening conditions indicate responsibility of the care team to be informed and send a request for an urgent IPG replacement 
List additional precautions (i.e., blood work and infective screening) 
Miocinovic et al. 2020 [10Recommendations for deep brain stimulation device management during a pandemic Article commentary Emory University, Atlanta, GA, USA  A flowchart was provided by Miocinovic Qualitative N/A 
Montuno et al. 2013 [11An algorithm for management of deep brain stimulation battery replacements: devising a web-based battery estimator and clinical symptom approach Literature review University of Florida (UF) DBS battery estimators were constructed by the authors at http://mdc.mbi.ufl.edu/surgery/dbs-battery-estimator A flowchart devising their management strategies Quantitative N/A 
Rammo et al. 2021 [12The need for digital health solutions in deep brain stimulation for Parkinson’s disease in the time of COVID-19 and beyond Literature review Cleveland Clinic Foundation, Cleveland, OH, USA List that a successful DBS care protocols have five core requirements in respect to remote DBS programming that comprise novel challenges to overcome: Qualitative N/A 
1. Cognitive capacity 
2. Physical safety 
3. Physical capacity 
4. Connectivity 
5. Technological security 
Sarica et al. 2021 [13Implantable pulse generators for deep brain stimulation: challenges, complications, and strategies for practicality and longevity Article commentary University of Toronto, Toronto, ON, Canada Proposes abbott neurosphere virtual clinic as the versatile future of DBS management Emphasizes Neurosphere’s ability to optimize stimulation parameters and adjust using patient factors using a GUIDE protocol Qualitative N/A 
Frey et al. 2022 [14Past, present, and future of deep brain stimulation: hardware, software, imaging, physiology and novel approaches Review Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA Informs that providers should interpret PGs setting parameters to estimate the length of battery life Qualitative N/A 

Protocol Design and Proposal

We propose a novel DBS protocol (Fig. 2) based on input from our neurology colleagues, DBS manufacturers and patients, and the findings from our literature review. Our protocol can be divided into preoperative and postoperative implementation stages.

Fig. 2.

Flowchart provided by authors to guide readers through the process of the University of Oklahoma Health Hospital’s Deep Brain Stimulations Patient Protocol to prevent cessation of IPG battery life.

Fig. 2.

Flowchart provided by authors to guide readers through the process of the University of Oklahoma Health Hospital’s Deep Brain Stimulations Patient Protocol to prevent cessation of IPG battery life.

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Preoperative Stage

In the preoperative stage, collaboration among neurology, neurosurgery, and the IPG manufacturer is for determining the appropriate IPG and DBS target. Patients are informed and encouraged to use rechargeable IPGs when possible. For patients opting for a fixed-life IPG based on their circumstances, comprehensive preoperative education is provided a week before surgery.

Postoperative Stage

In the postoperative stage, educational content from the preoperative phase is reintroduced 2 weeks postoperatively, including hands-on training with the patient’s device. This session reviews and reinforces preoperative education, demonstrating practical application. Patients receive guidance on contacting their neurosurgeon for IPG replacement and managing the IPG reaching EOS. Scheduled follow-ups are crucial for long-term care. Initial neurosurgical follow-ups occur at 2 weeks, assessing healing and DBS management understanding. Subsequent 1-year follow-ups monitor device experience, IPG status, and patient understanding. Neurology follow-ups every 3–6 months post-surgery focus on device programming, symptom control, and patient comfort, with intervals adjusted based on mutual discretion and progress.

We reviewed the current literature on DBS IPG management, exploring techniques and technologies to prevent IPG cessation. While some papers proposed protocols for IPGs nearing EOS, none offered a comprehensive approach to prevent therapy cessation.

Telemedicine

Telemedicine is a promising avenue for Parkinson’s management, enabling remote assessments, monitoring, and therapy adjustments. Fasano et al. highlighted its role as a screening tool for replacing DBS IPGs [9]. Despite potential challenges in virtual evaluations due to the condition's intricacy and technological proficiency gaps in patients, remote assessments offer valuable insights. Expanding on this, Frey et al. explore the benefits of telemedicine and remote programming for IPG management [14]. They emphasize remotely adjusting DBS settings to reduce the need for frequent in-person visits, minimizing patient burden and healthcare costs. Telemedicine emerges as a valuable tool in preventing DBS therapy cessation, especially for patients in remote areas.

Automation

Automated DBS devices, explored by Frey et al., use advanced technology to assess patients’ needs and adjust stimulation settings in real-time [14]. These devices, employing sophisticated algorithms and feedback mechanisms, continuously monitor symptoms, offering precise and adaptive therapy. While promising, their real-world application for DBS remains limited. Education for patients and providers is crucial to maximize effectiveness in the current gap in DBS device monitoring.

Calculators

Calculators, like Montuno et al.’s, estimate IPG battery life and aid device management [11]. However, accurate prediction remains challenging due to factors such as impedance fluctuations, battery usage patterns, and device variation. While these calculators signify progress, establishing their reliability as the standard in IPG management requires further clinical evidence. Fakhar et al. [15] compared various IPG calculators, including Medtronic and Montuno et al.’s. They recommended using these calculators, especially with worsening symptoms, to predict IPG battery life and optimize treatment planning.

Proposed Protocols for DBS

Several papers propose DBS IPG management protocols for EOS scenarios. Miocinovic et al. introduced a flowchart algorithm for prompt replacement in cases of sudden DBS cessation, preventing severe consequences like Tourette syndrome and severe depression [10]. Montuno et al. [11] presented an online calculator with a flowchart for patient concerns. However, all mentioned protocols focus solely on scenarios after EOS of therapy cessation.

Strategies for IPG Management in Other Devices

Non-rechargeable power sources are extensively employed in various medical applications, including pacemakers, defibrillators, and pain pumps. Strategies proven effective in managing these devices can be adapted for DBS IPG management. Innovative solutions, such as leveraging mobile cell phone technologies, are employed in other medical devices for patient-reported blood pressure checks, appointment reminders, pre-surgery education, and medication reminders [8, 16, 17].

Research findings indicate increased patient satisfaction with mobile technologies and willingness for future use [18, 19]. Communication through email studies/surveys [20] and telehealth visits [21] has shown high levels of patient satisfaction and adherence to home treatment options.

Pacemakers, functioning similarly to DBS systems, encounter issues like premature battery depletion and maladaptive symptoms [22‒24]. Cardiologists advocate preventive measures, including patient education and comprehensive outpatient follow-up. The Abbott Neurosphere offers a notable future solution with its similarity to the remote pacemaker monitoring system, merlin.net [25].

Cochlear implants share similarities with DBS, requiring timely power source management. Cochlear implant clinicians and patients extensively utilize telehealth checkups, resulting in empowerment and improved hearing outcomes [26‒28] similar to DBS.

Abrupt drug delivery cessation in implantable drug delivery systems, like intrathecal pumps, due to battery depletion could be life-threatening [29, 30]. Vigilant follow-up through in-person checkups, video conferences, email, and text messages is utilized to prevent therapy cessation risk [31‒33]. Regardless of the technology used, patient education and regularly scheduled outpatient follow-ups remain a common theme for monitoring device status.

Our Proposed Protocol

Patient Education

In the preoperative stage, patient education is pivotal in our protocol, aiming to empower patients and families with essential knowledge for informed decision-making and effective management of DBS devices. One week before surgery, patients receive a tailored education package, including a manufacturer-specific handout and an institutional educational video. These materials cover crucial topics such as checking the IPG battery, self-monitoring for therapy disruption symptoms, anticipating IPG depletion, understanding the expected timing for personal device replacement, and ensuring comprehensive pre-surgery information.

Who Should Perform Education (Preoperatively and Postoperatively)

DBS education, both preoperative and postoperative, presents a critical and complex challenge. For preoperative education, we advocate a multidisciplinary approach involving movement disorder neurologists and the DBS implanting neurosurgeon. Both provide in-depth education, fostering repetition and reinforcement. In the postoperative stage, nursing staff or other skilled providers can delegate hands-on assessment of patient understanding of their IPG device and interrogator, offering specialized guidance and tailored training for the specific device.

Educational Video

Integral to our protocol is an educational video covering IPG battery checks, self-monitoring for therapy disruption symptoms, anticipating IPG depletion, and understanding expected timing for personal device replacement. This video facilitates patient review of crucial DBS IPG maintenance information, providing answers to questions at their convenience. This approach enhances efficiency, minimizes mismanagement risks, and ensures accessible knowledge for patients and caregivers.

Limitations

The reviewed studies demonstrate promise but acknowledge potential biases and limitations, primarily falling into Category 5 (grade D) with low internal validity. This implies potential bias in current IPG management strategies and the selected studies. Our systematic literature review is constrained by reliance on studies with low evidence levels, potentially introducing bias. Like all reviews, it may be susceptible to internal biases, and the limited sample size of 7 articles restricts comprehensive conclusions. Despite these constraints, the identified papers offer valuable insights for future IPG management research. Our DBS IPG management protocol relies on experiences from analogous devices and involves multiple providers. Maintaining communication is crucial. This novel protocol lacks prior experience, but we aim to refine it post-implementation.

The current literature on DBS IPG management lacks high-quality studies, emphasizing the need for more rigorous research to optimize patient outcomes. To bridge this gap, we propose a comprehensive protocol that prioritizes standardized patient education, regular follow-up care, and thorough preoperative and postoperative IPG battery monitoring. Our goal is to empower patients for independent DBS IPG monitoring, supported by consistent clinician oversight. As DBS IPG technologies advance, we aim to refine and integrate improvements into future protocol iterations.

We thank Tressie M. Stephens for her administrative assistance with coordinating the research and submission of this work.

This study is based on published literature and was reviewed and approved by the University of Oklahoma Institutional Review Board, approval number [14696].

The authors declare that they have no conflict of interest.

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Data collection and interpretation: S.J.O. and H.S.S. Idea conception and design: A.K.C., S.J.O., and H.S.S. Drafting of the original manuscript: S.J.O. Edits: H.S.S. and A.K.C.

All data generated or analyzed during this study are included in this published article. Further inquiries can be directed to the corresponding author.

1.
Büttner
C
,
Maack
M
,
Janitzky
K
,
Witt
K
.
The evolution of quality of life after subthalamic stimulation for Parkinson’s disease: a meta-analysis
.
Mov Disord Clin Pract
.
2019
;
6
(
7
):
521
30
. .
2.
Grimaldi
S
,
Eusebio
A
,
Carron
R
,
Regis
JM
,
Velly
L
,
Azulay
JP
, et al
.
Deep brain stimulation-withdrawal syndrome in Parkinson’s disease: risk factors and pathophysiological hypotheses of a life-threatening emergency
.
Neuromodulation
.
2023
;
26
(
2
):
424
34
. .
3.
Rossi
M
,
Bruno
V
,
Arena
J
,
Cammarota
Á
,
Merello
M
.
Challenges in PD patient management after DBS: a pragmatic review
.
Mov Disord Clin Pract
.
2018
;
5
(
3
):
246
54
. .
4.
Jakobs
M
,
Helmers
AK
,
Synowitz
M
,
Slotty
PJ
,
Anthofer
JM
,
Schlaier
JR
, et al
.
A multicenter, open-label, controlled trial on acceptance, convenience, and complications of rechargeable internal pulse generators for deep brain stimulation: the Multi Recharge Trial
.
J Neurosurg
.
2020
;
133
(
3
):
821
9
. .
5.
Khaleeq
T
,
Hasegawa
H
,
Samuel
M
,
Ashkan
K
.
Fixed-life or rechargeable battery for deep brain stimulation: which do patients prefer? Neuromodulation: technology at the neural interface
.
Neuromodulation
.
2019
;
22
(
4
):
489
92
. .
6.
Mitchell
KT
,
Volz
M
,
Lee
A
,
San Luciano
M
,
Wang
S
,
Starr
PA
, et al
.
Patient experience with rechargeable implantable pulse generator deep brain stimulation for movement disorders
.
Stereotact Funct Neurosurg
.
2019
;
97
(
2
):
113
9
. .
7.
Paff
M
,
Loh
A
,
Sarica
C
,
Lozano
AM
,
Fasano
A
.
Update on current technologies for deep brain stimulation in Parkinson’s disease
.
J Mov Disord
.
2020
;
13
(
3
):
185
98
. .
8.
Nguyen
N
,
Leveille
E
,
Guadagno
E
,
Kalisya
LM
,
Poenaru
D
.
Use of mobile health technologies for postoperative care in paediatric surgery: a systematic review
.
J Telemed Telecare
.
2022
;
28
(
5
):
331
41
. .
9.
Fasano
A
,
Antonini
A
,
Katzenschlager
R
,
Krack
P
,
Odin
P
,
Evans
AH
, et al
.
Management of advanced therapies in Parkinson’s disease patients in times of humanitarian crisis: the COVID-19 experience
.
Mov Disord Clin Pract
.
2020
;
7
(
4
):
361
72
. .
10.
Miocinovic
S
,
Ostrem
JL
,
Okun
MS
,
Bullinger
KL
,
Riva-Posse
P
,
Gross
RE
, et al
.
Recommendations for deep brain stimulation device management during a pandemic
.
JPD
.
2020
;
10
(
3
):
903
10
. .
11.
Montuno
MA
,
Kohner
AB
,
Foote
KD
,
Okun
MS
.
An algorithm for management of deep brain stimulation battery replacements: devising a web-based battery estimator and clinical symptom approach
.
Neuromodulation
.
2013
;
16
(
2
):
147
53
. .
12.
Rammo
R
,
Gostkowski
M
,
Rasmussen
PA
,
Nagel
S
,
Machado
A
.
The need for digital health solutions in deep brain stimulation for Parkinson’s disease in the time of COVID-19 and beyond
.
Neuromodulation
.
2021
;
24
(
2
):
331
6
. .
13.
Sarica
C
,
Iorio-Morin
C
,
Aguirre-Padilla
DH
,
Najjar
A
,
Paff
M
,
Fomenko
A
, et al
.
Implantable pulse generators for deep brain stimulation: challenges, complications, and strategies for practicality and longevity
.
Front Hum Neurosci
.
2021
;
15
:
708481
. .
14.
Frey
J
,
Cagle
J
,
Johnson
KA
,
Wong
JK
,
Hilliard
JD
,
Butson
CR
, et al
.
Past, present, and future of deep brain stimulation: hardware, software, imaging, physiology and novel approaches
.
Front Neurol
.
2022
;
13
:
825178
. .
15.
Fakhar
K
,
Hastings
E
,
Butson
CR
,
Foote
KD
,
Zeilman
P
,
Okun
MS
.
Management of deep brain stimulator battery failure: battery estimators, charge density, and importance of clinical symptoms
. In:
Oreja-Guevara
C
, editor.
PLoS One
.
2013
;
8
(
3
):
e58665
. .
16.
Anthony
CA
,
Polgreen
LA
,
Chounramany
J
,
Foster
ED
,
Goerdt
CJ
,
Miller
ML
, et al
.
Outpatient blood pressure monitoring using bi–directional text messaging
.
J Am Soc Hypertens
.
2015
;
9
(
5
):
375
81
. .
17.
Day
MA
,
Anthony
CA
,
Bedard
NA
,
Glass
NA
,
Clark
CR
,
Callaghan
JJ
, et al
.
Increasing perioperative communication with automated mobile phone messaging in total joint arthroplasty
.
J Arthroplasty
.
2018
;
33
(
1
):
19
24
. .
18.
Timmermann
L
,
Schupbach
M
,
Hertel
F
,
Wolf
E
,
Eleopra
R
,
Franzini
A
, et al
.
A new rechargeable device for deep brain stimulation: a prospective patient satisfaction survey
.
Eur Neurol
.
2013
;
69
(
4
):
193
9
. .
19.
Jia
F
,
Hao
H
,
Meng
F
,
Guo
Y
,
Zhang
S
,
Zhang
J
, et al
.
Patient perspectives on the efficacy of a new kind of rechargeable deep brain stimulators(1)
.
Int J Neurosci
.
2016
;
126
(
11
):
996
1001
. .
20.
Triplet
JJ
,
Momoh
E
,
Kurowicki
J
,
Villarroel
LD
,
Law
TY
,
Levy
JC
.
E-mail reminders improve completion rates of patient-reported outcome measures
.
JSES Open Access
.
2017
;
1
(
1
):
25
8
. .
21.
Soegaard Ballester
JM
,
Scott
MF
,
Owei
L
,
Neylan
C
,
Hanson
CW
,
Morris
JB
.
Patient preference for time-saving telehealth postoperative visits after routine surgery in an urban setting
.
Surgery
.
2018
;
163
(
4
):
672
9
. .
22.
Montgomery
LD
,
Montgomery
RW
,
Gerth
WA
,
Bodo
M
,
Stewart
JM
,
Loughry
M
.
Segmental intracellular, interstitial, and intravascular volume changes during simulated hemorrhage and resuscitation: a case study
.
J Electr Bioimpedance
.
2019
;
10
(
1
):
40
6
. .
23.
Lewis
KB
,
Stacey
D
,
Carroll
SL
,
Boland
L
,
Sikora
L
,
Birnie
D
.
Estimating the risks and benefits of implantable cardioverter defibrillator generator replacement: a systematic review
.
Pacing Clin Electrophysiol
.
2016
;
39
(
7
):
709
22
. .
24.
Kaminska
M
,
Lumsden
DE
,
Ashkan
K
,
Malik
I
,
Selway
R
,
Lin
JP
.
Rechargeable deep brain stimulators in the management of paediatric dystonia: well tolerated with a low complication rate
.
Stereotact Funct Neurosurg
.
2012
;
90
(
4
):
233
9
. .
25.
Bhargava
K
,
Arora
V
,
Jaswal
A
,
Vora
A
;
Indian Heart Rhythm Society
.
Premature battery depletion with st. Jude medical ICD and CRT-D devices. Indian heart rhythm society guidelines for physicians
.
Indian Pacing Electrophysiol J
.
2016
;
16
(
6
):
194
6
. .
26.
Hughes
ML
,
Sevier
JD
,
Choi
S
.
Techniques for remotely programming children with cochlear implants using pediatric audiological methods via telepractice
.
Am J Audiol
.
2018
;
27
(
3S
):
385
90
. .
27.
Slager
HK
,
Jensen
J
,
Kozlowski
K
,
Teagle
H
,
Park
LR
,
Biever
A
, et al
.
Remote programming of cochlear implants
.
Otol Neurotol
.
2019
;
40
(
3
):
e260
6
. .
28.
Cullington
H
,
Kitterick
P
,
Weal
M
,
Margol-Gromada
M
.
Feasibility of personalised remote long-term follow-up of people with cochlear implants: a randomised controlled trial
.
BMJ Open
.
2018
;
8
(
4
):
e019640
. .
29.
Lee
HMD
,
Ruggoo
V
,
Graudins
A
.
Intrathecal clonidine pump failure causing acute withdrawal syndrome with “stress-induced” cardiomyopathy
.
J Med Toxicol
.
2016
;
12
(
1
):
134
8
. .
30.
Al-Khodairy
AT
,
Vuagnat
H
,
Uebelhart
D
.
Symptoms of recurrent intrathecal baclofen withdrawal resulting from drug delivery failure: a case report
.
Am J Phys Med Rehabil
.
1999
;
78
(
3
):
272
7
. .
31.
Goel
V
,
Yang
Y
,
Kanwar
S
,
Banik
RK
,
Patwardhan
AM
,
Ibrahim
M
, et al
.
Adverse events and complications associated with intrathecal drug delivery systems: insights from the manufacturer and user facility device experience (MAUDE) database
.
Neuromodulation
.
2021
;
24
(
7
):
1181
9
. .
32.
Borowski
A
,
Littleton
AG
,
Borkhuu
B
,
Presedo
A
,
Shah
S
,
Dabney
KW
, et al
.
Complications of intrathecal baclofen pump therapy in pediatric patients
.
J Pediatr Orthop
.
2010
;
30
(
1
):
76
81
. .
33.
Deer
TR
,
Pope
JE
,
Hayek
SM
,
Bux
A
,
Buchser
E
,
Eldabe
S
, et al
.
The polyanalgesic consensus conference (PACC): recommendations on intrathecal drug infusion systems best practices and guidelines
.
Neuromodulation
.
2017
;
20
(
2
):
96
132
. .