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Referencias

Chamorro 2005 {published data only}

Chamorro A, Horcajada JP, Obach V, Vargas M, Revilla M, Torres F, et al. The Early Systemic Prophylaxis of Infection After Stroke study: a randomized clinical trial. Stroke 2005;36(7):1495‐500. CENTRAL

De Falco 1998 {published data only}

De Falco FA, Santangelo R, Majello L, Angelone P. Antimicrobial prophylaxis in the management of ischemic stroke. Rivista di Neurobiologia 1998;44(1):63‐7. CENTRAL

Harms 2008 {published data only}

Harms H, Prass K, Meisel C, Klehmet J, Rogge W, Drenckhahn C, et al. Preventive antibacterial therapy in acute ischemic stroke: a randomized controlled trial. PLoS ONE 2008;3(5):e2158. CENTRAL

Kalra 2015 {published data only}

Kalra L, Irshad S, Hodsoll J, Simpson M, Gulliford M, Smithard D, STROKE‐INF Investigators. Prophylactic antibiotics after acute stroke for reducing pneumonia in patients with dysphagia (STROKE‐INF): a prospective, cluster‐randomised, open‐label, masked endpoint, controlled clinical trial. Lancet 2015;386(10006):1835‐44. CENTRAL

Lampl 2007 {published data only}

Lampl Y, Boaz M, Gilad R, Lorberboym M, Dabby R, Rapoport A, et al. Minocycline treatment in acute stroke: an open‐label, evaluator‐blinded study. Neurology 2007;69(14):1404‐10. CENTRAL

Schwarz 2008 {published data only}

Schwarz S, Al‐Shajlawi F, Sick C, Meairs S, Hennerici MG. Effects of prophylactic antibiotic therapy with mezlocillin plus sulbactam on the incidence and height of fever after severe acute ischemic stroke: the Mannheim Infection in Stroke Study (MISS). Stroke 2008;39(4):1220‐7. CENTRAL

Ulm 2016 {unpublished data only}

Meisel A. The randomised controlled STRAWINSKI trial: procalcitonin‐guided antibiotic therapy after stroke (preliminary title). Unpublished. CENTRAL

Westendorp 2015 {published data only}

Westendorp WF, Vermeij JD, Zock E, Hooijenga IJ, Kruyt ND, Bosboom HJ, PASS Investigators. The Preventive Antibiotics in Stroke Study (PASS): a pragmatic randomised open‐label masked endpoint clinical trial. Lancet 2015;385(9977):1519‐26. CENTRAL

ISRCTN82217627 {unpublished data only}

ISRCTN82217627. Prevention of complications to Improve outcome in elderly patients with acute stroke ‐ a randomised clinical trial. www.isrctn.com/ISRCTN82217627 (first received 29 August 2015). CENTRAL

Carnaby 2006

Carnaby G, Hankey GJ, Pizzi J. Behavioural intervention for dysphagia in acute stroke: a randomised controlled trial. Lancet Neurology 2006;5(1):31‐7.

Chamorro 2006

Chamorro A, Amaro S, Vargas M, Obach V, Cervera A, Torres F, et al. Interleukin 10, monocytes and increased risk of early infection in ischaemic stroke. Journal of Neurology, Neurosurgery and Psychiatry 2006;77(11):1279‐81.

Emsley 2008

Emsley HC, Hopkins SJ. Acute ischaemic stroke and infection: recent and emerging concepts. Lancet Neurology 2008;7(4):341‐53.

Finlayson 2011

Finlayson O, Kapral M, Hall R, Asllani E, Selchen D, Saposnik G, Canadian Stroke Network, Stroke Outcome Research Canada (SORCan) Working Group. Risk factors, inpatient care, and outcomes of pneumonia after ischemic stroke. Neurology 2011;77:1338–45.

Haeusler 2008

Haeusler KG, Schmidt WU, Fohring F, Meisel C, Helms T, Jungehulsing GJ, et al. Cellular immunodepression preceding infectious complications after acute ischemic stroke in humans. Cerebrovascular Diseases 2008;25(1‐2):50‐8.

Hamidon 2003

Hamidon BB, Raymond AA. Risk factors and complications of acute ischaemic stroke patients at Hospital Universiti Kebangsaan Malaysia (HUKM). Medical Journal of Malaysia 2003;58(4):499‐505.

Higgins 2016

Higgins JPT, Lasserson T, Chandler J, Tovey D, Churchill R. Methodological Expectations of Cochrane Intervention Reviews. London: Cochrane, 2016.

Jauch 2013

Jauch EC, Saver JL, Adams HP, Bruno A, Connors JJ, Demaerschalk BM, American Heart Association Stroke Council, Council on Cardiovascular Nursing, Council on Peripheral Vascular Disease, and Council on Clinical Cardiology. Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2013;44:870‐947.

Kammersgaard 2001

Kammersgaard LP, Jorgensen HS, Reith J, Nakayama H, Houth JG, Weber UJ, et al. Early infection and prognosis after acute stroke: the Copenhagen Stroke Study. Journal of Stroke and Cerebrovascular Diseases 2001;10(5):217‐21.

Kishore 2015

Kishore AK, Vail A, Chamorro A, Garau J, Hopkins SJ, Di Napoli M, et al. How is pneumonia diagnosed in clinical stroke research? A systematic review and meta‐analysis. Stroke 2015;46:1202‐9.

Kwon 2006

Kwon HM, Jeong SW, Lee SH, Yoon BW. The pneumonia score: a simple grading scale for prediction of pneumonia after acute stroke. American Journal of Infection Control 2006;34(2):64‐8.

Lee 2007

Lee M, Huang WY, Weng HH, Lee JD, Lee TH. First‐ever ischemic stroke in very old Asians: clinical features, stroke subtypes, risk factors and outcome. European Neurology 2007;58(1):44‐8.

Martino 2005

Martino R, Foley N, Bhogal S, Diamant N, Speechley M, Teasell R. Dysphagia after stroke: incidence, diagnosis, and pulmonary complications. Stroke 2005;36(12):2756‐63.

Popović 2013

Popović N, Stefanović‐Budimkić M, Mitrović N, Urošević A, Milošević B, Pelemiš M, et al. The frequency of poststroke infections and their impact on early stroke outcome. Journal of Stroke and Cerebrovascular Diseases 2013;22:424–9.

RevMan 2014 [Computer program]

The Nordic Cochrane Centre, The Cochrane Collaboration. Review Manager (RevMan). Version 5.3. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014.

Smith 2015

Smith CJ, Kishore AK, Vail A, Chamorro A, Garau J, Hopkins SJ, et al. Diagnosis of stroke‐associated pneumonia: recommendations from the Pneumonia in Stroke Consensus Group. Stroke 2015;46(8):2335‐40.

Smyth 2011

Smyth RM, Kirkham JJ, Jacoby A, Altman DG, Gamble C, Williamson PR. Frequency and reasons for outcome reporting bias in clinical trials: interviews with trialists. BMJ 2011;342:c7153.

Stott 2009

Stott DJ, Falconer A, Miller H, Tilston JC, Langhorne P. Urinary tract infection after stroke. QJM 2009;102(4):243‐9.

Van de Beek 2009

Van de Beek D, Wijdicks EF, Vermeij FH, De Haan RJ, Prins JM, Spanjaard L, et al. Preventive antibiotics for infections in acute stroke: a systematic review and meta‐analysis. Archives of Neurology 2009;66(9):1076‐81.

Van der Worp 2007

Van der Worp HB, Van Gijn J. Clinical practice. Acute ischemic stroke. New England Journal of Medicine 2007;357(6):572‐9.

Vargas 2006

Vargas M, Horcajada JP, Obach V, Revilla M, Cervera A, Torres F, et al. Clinical consequences of infection in patients with acute stroke: is it prime time for further antibiotic trials?. Stroke 2006;37(2):461‐5.

Vermeij 2009

Vermeij FH, Scholte op Reimer WJ, De Man P, Van Oostenbrugge RJ, Franke CL, De Jong G, et al. Stroke‐associated infection is an independent risk factor for poor outcome after acute ischemic stroke: data from the Netherlands Stroke Survey. Cerebrovascular Diseases 2009;27(5):465‐71.

Vermeij 2016

Vermeij JD, Westendorp WF, Roos YB, Brouwer MC, van de Beek D, Nederkoorn PJ, PASS Investigators. Preventive ceftriaxone in patients with stroke treated with intravenous thrombolysis: post hoc analysis of the Preventive Antibiotics in Stroke Study. Cerebrovascular Diseases 2016;42(5‐6):361‐9.

Walter 2007

Walter U, Knoblich R, Steinhagen V, Donat M, Benecke R, Kloth A. Predictors of pneumonia in acute stroke patients admitted to a neurological intensive care unit. Journal of Neurology 2007;254(10):1323‐9.

Westendorp 2011

Westendorp WF, Nederkoorn PJ, Vermeij JD, Dijkgraaf MG, van de Beek D. Post‐stroke infection: a systematic review and meta‐analysis. BMC Neurology 2011;20;11:100.

Yilmaz 2007

Yilmaz GR, Cevik MA, Erdinc FS, Ucler S, Tulek N. The risk factors for infections acquired by cerebral hemorrhage and cerebral infarct patients in a neurology intensive care unit in Turkey. Japanese Journal of Infectious Diseases 2007;60(2‐3):87‐91.

Vermeij 2010

Vermeij F, Nederkoorn PJ, Den Hertog HM, Van de Beek D, Dippel DWJ. Antibiotic therapy for preventing infections in patients with acute stroke. Cochrane Database of Systematic Reviews 2010, Issue 6. [DOI: 10.1002/14651858.CD008530]

Westendorp 2012

Westendorp WF, Vermeij JD, Vermeij F, Den Hertog HM, Dippel DW, van de Beek D, et al. Antibiotic therapy for preventing infections in patients with acute stroke. Cochrane Database of Systematic Reviews 2012, Issue 1. [DOI: 10.1002/14651858.CD008530.pub2]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Chamorro 2005

Methods

Randomised, double‐blind

Participants

People older than 18 years with non‐septic ischaemic or haemorrhagic stroke enrolled within 24 hours from clinical onset

Interventions

Intravenous levofloxacin 500 mg/100 mL/d, for 3 days

Outcomes

Early infection (within the first 7 days after stroke), case fatality, favourable outcome at day 90 (mRS < 2, NIHSS < 2, BI 95 or 100)

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Participants were randomised via a computer‐generated number sheet

Allocation concealment (selection bias)

Low risk

Participants were randomly allocated to 1 of the 2 treatment groups; a pharmacist, nurse, or fellow opened a numbered sealed envelope. Study treatment was prepared at the central pharmacy of the institution and was kept within its premises until allocation.

Blinding (performance bias and detection bias)
All outcomes

Low risk

Double‐blind design, placebo controlled. Outcome assessment (e.g. occurrence of infections) was assessed blindly because physicians were not aware of treatment allocation.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Table 2 indicates that all participants were seen at 90 days. Counts of participants with secondary outcomes by treatment were not provided.

Selective reporting (reporting bias)

Low risk

All outcomes were reported (infections, case fatality, unfavourable functional outcome).

Other bias

Low risk

No other sources of bias were found.

De Falco 1998

Methods

Randomised, unblinded

Participants

People with ischaemic stroke within 12 hours from clinical onset

Interventions

Penicillin intramuscularly

Outcomes

Infectious complications, case fatality, functional outcome (BI, CNS)

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

The study was described as 'randomized'.

Allocation concealment (selection bias)

Unclear risk

Allocation concealment was not mentioned.

Blinding (performance bias and detection bias)
All outcomes

High risk

This study appears to have an open‐label design; blinding of outcome assessment was not described.

Incomplete outcome data (attrition bias)
All outcomes

High risk

Nothing was reported about completeness of follow‐up and outcome assessment.

Selective reporting (reporting bias)

High risk

Outcome assessment was performed at discharge instead of at a fixed time point.

Other bias

Low risk

No other sources of bias were found.

Harms 2008

Methods

Randomised, double‐blind

Participants

People older than 17 years with ischaemic stroke in MCA territory and NIHSS ≥ 12 within 9 to 36 hours after onset

Interventions

Intravenous moxifloxacin 400 mg/d for 5 days

Outcomes

Infection rate within 11 days after stroke onset, bacterial spectrum, moxifloxacin resistance, daily maximum body temperature, CRP, survival and functional outcome (BI) at day 180 after stroke (BI was dichotomised ≥ 60 and < 60)

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

A computer‐generated allocation schedule was used.

Allocation concealment (selection bias)

Low risk

Trial pharmacists at each site labelled trial drugs with sequential study numbers according to randomisation lists prepared by the trial statistician and dispensed drugs.

Blinding (performance bias and detection bias)
All outcomes

Low risk

Study investigators and enrolling staff were masked to assignments.

Incomplete outcome data (attrition bias)
All outcomes

High risk

7 participants were lost to follow‐up; no details were mentioned.

Selective reporting (reporting bias)

Low risk

All outcomes (infection, neurological outcome, adverse events, and case fatality) were reported at prespecified intervals.

Other bias

Low risk

No other sources of bias were found.

Kalra 2015

Methods

Cluster‐randomised, open‐label, blinded endpoint

Participants

People aged older than 18 years, confirmed diagnosis of new stroke (ischaemic or haemorrhagic), onset of symptoms within 48 hours at recruitment, unsafe to swallow because of impaired consciousness, failed bedside swallow test, or presence of a nasogastric tube

Interventions

Antibiotic choice conformed to local antibiotic policy by dose and by route according to local guidelines. Amoxicillin or co‐amoxiclav, together with clarithromycin for 7 days, was recommended if no restrictions were applied.

Outcomes

Poststroke pneumonia was determined by a statistician masked to allocation using a criteria‐based hierarchical algorithm; pneumonia was diagnosed by the local treating physician.
NIHSS at 14 days; death at 14 and 90 days; functional outcome at 90 days on mRS; CDT‐positive diarrhoea; MRSA colonisation; EuroQoL at 90 days; physician‐diagnosed pneumonia at baseline and at 2, 7, 10, and 14 days; length of hospital stay; time to death

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Minimisation algorithm, stratifying centres for number of stroke admissions per year and proportion admitted directly to specialist care. Randomisation was computer generated and was done away from the trial office.

Allocation concealment (selection bias)

Low risk

Participants, research staff obtaining data, and statisticians undertaking analyses of outcome data were unaware of stroke unit allocation. Randomisation was computer generated and was done away from the trial office.

Blinding (performance bias and detection bias)
All outcomes

Low risk

Participants, research staff obtaining data, and statisticians undertaking analyses of outcome data were unaware of stroke unit allocation. Detection bias for the primary outcome between groups was minimised by a criteria‐based algorithm for diagnosis of poststroke pneumonia, applied blind to the whole dataset. Outcomes at 90 days were assessed by trial office researchers masked to allocation.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No participants were lost to follow‐up at the primary endpoint; 2 participants in the antibiotic group withdrew consent, and 16 (3%) in the control group and 18 (3%) in the antibiotic group could not be contacted for the 90‐day follow‐up.

Selective reporting (reporting bias)

Low risk

All outcomes (poststroke pneumonia, neurological outcome, functional outcome, mortality, CDT‐positive diarrhoea, MRSA colonisation, EuroQoL scores, hospital stay) were reported at prespecified intervals.

Other bias

Low risk

No other sources of bias were found.

Lampl 2007

Methods

Quasi‐randomised (8th number of identity card), open‐label, blinded outcome assessment

Participants

People older than 18 years with ischaemic stroke, NIHSS > 5, and onset of stroke 6 to 24 hours before start of treatment

Interventions

Orally minocycline 200 mg/d for 5 days

Outcomes

NIHSS on day 90; NIHSS, mRS, BI, and death on days 7, 30, and 90

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

The 8th number on the participant's identity card was used.

Allocation concealment (selection bias)

High risk

After contacting the trial author by email, we received an email from the epidemiologist of this trial. Allocation concealment was described as follows.

"A patient arrived at the emergency room with signs of stroke. Emergency room personnel were aware that the study was recruiting participants and identified patients who met study inclusion criteria. Once this identification was made, the attending physician in the emergency room phoned me regardless of the time, day or night. In the emergency room were sealed, numbered packages containing medication. The attending physician read me the eighth digit of the patient's National Identity number. I referred to a randomization list which had been computer‐generated prior to study onset, and based on whether the eighth digit was odd or even, the randomization list assigned the patient to a numbered package. The attending physician then provided the medication inside the appropriately numbered package to the patient. Thus, the attending physician in the emergency room was blind to the treatment assignment. I was not blind to the treatment assignment, however, and was aware of the patient's treatment assignment. I, therefore, consider this trial open label".

In conclusion, we do not know for sure whether blinding was maintained on the ward of the hospital. It is possible that physicians were aware of the treatment because they knew that participants with even/odd NID numbers would get a certain treatment.

Blinding (performance bias and detection bias)
All outcomes

Low risk

Blinded study; outcomes were assessed blindly (although the adequacy of blind was not described)

Incomplete outcome data (attrition bias)
All outcomes

High risk

The number of participants lost to follow‐up was not reported. Scores on NIHSS, BI, and mRS were presented as means.

Selective reporting (reporting bias)

Low risk

All outcomes were reported.

Other bias

Low risk

No other sources of bias were found.

Schwarz 2008

Methods

Randomised, unblinded

Participants

People aged at least 18 years with ischaemic stroke and onset of symptoms less than 24 hours ago, bedridden (mRS > 3), with estimated premorbid mRS < 2 and stable deficits

Interventions

Intravenous mezlocillin 2 g and sulbactam 1 g every 8 hours for 4 days (12 infusions in total)

Outcomes

mRS at day 90, infection, daily temperature

Notes

Infection was assessed by blinded observer; primary outcome (mRS at day 90) was assessed by telephone interview with unknown blinding procedure.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Randomisation was performed via a computer‐generated number sheet and a numbered, sealed envelope.

Allocation concealment (selection bias)

Low risk

Randomisation was performed via a computer‐generated number sheet and a numbered, sealed envelope.

Blinding (performance bias and detection bias)
All outcomes

High risk

This was an open‐label design. Assessment of infections during the study period was done by a blinded observer, but assessment of secondary outcomes, such as NIHSS and mRS, was not done in a blinded fashion.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Data show no losses to follow‐up.

Selective reporting (reporting bias)

Low risk

Data show no losses to follow‐up in this study, not even at 90 days.

Other bias

Low risk

No other sources of bias were found.

Ulm 2016

Methods

Randomised, open‐label with blinded outcome assessment

Participants

People aged 18 years or older, with severe ischaemic stroke (score > 9 on the NIHSS) and clinical diagnosis of a stroke in the MCA territory

Interventions

Standard stroke care plus daily ultrasensitive procalcitonin (PCTus)‐guided antibiotic treatment. If PCTus concentration was higher than 0.05 ng/mL, a bacterial infection was considered likely and use of antibiotics was recommended. Type and duration of antibiotic treatment ‐ focusing on stroke‐associated pneumonia ‐ were left to the treating physician.

Outcomes

mRS at 7 days and 3 months, death at 7 and 30 days, infection rate, total antibiotic use, BI at 3 months

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Use of random number generator

Allocation concealment (selection bias)

Low risk

Numbered sealed, opaque envelopes

Blinding (performance bias and detection bias)
All outcomes

Low risk

This was an open‐label study. Outcome assessment of mRS at 3 months was adequately blinded: centrally assessed by structured telephone interviews conducted by trained staff members masked to allocation

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Primary outcome was centrally assessed by structured telephone interviews conducted by staff members at the study centre. All secondary outcomes were reported, except for length of stay and use of antibiotics, owing to methodological restrictions.

Selective reporting (reporting bias)

Low risk

Figure 2 showing patient flow through the study was missing from the manuscript; cannot be sure if all participants were accounted for at follow‐up

Other bias

Low risk

No other sources of bias were found.

Westendorp 2015

Methods

Randomised, open‐label, blinded endpoint

Participants

People aged 18 years or older with clinical symptoms of stroke (ischaemic or haemorrhagic), onset of symptoms within less than 24 hours, score ≥ 1 on the NIHSS

Interventions

Intravenous ceftriaxone 2 g/d for 4 days

Outcomes

mRS at 3 months, death at discharge and 3 months after randomisation, infection rate, total antimicrobial use, length of hospital stay, volume of poststroke care, and quality‐adjusted life‐years and costs

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Online tool, stratified according to study centre (university hospital, large non‐university hospital, or small non‐university hospital) and stroke severity (score on NIHSS of 1 to 9 vs score ≥ 10), with permuted blocks of varying block size (with maximum block size of 6)

Allocation concealment (selection bias)

Low risk

Online tool within 24 hours after symptom onset. Local investigators and participants were not masked, but research nurses who did the follow‐up interviews were masked to treatment allocation.

Blinding (performance bias and detection bias)
All outcomes

Low risk

Local investigators and participants were not masked, but research nurses who did the follow‐up interviews were masked to treatment allocation. Trained and masked research nurses based at the Academic Medical Center assessed functional outcomes at 3 months using a validated structured telephone interview.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

24 participants were lost to follow‐up (11 in the ceftriaxone group and 13 in the control group); details are mentioned in the appendix of the manuscript.

Selective reporting (reporting bias)

Low risk

All outcomes were reported.

Other bias

Low risk

No other sources of bias were found.

BI: Barthel Index.
CDT: Clostridium difficile toxin.
CNS: Canadian Neurologic Scale.
CRP: C‐reactive protein.
EuroQoL: measure of health‐related quality of life.
MCA: middle cerebral artery.
mRS: modified Rankin Scale.
MRSA: methicillin‐resistant Staphylococcus aureus.
NID: National Identity number.
NIHSS: National Institutes of Health Stroke Scale.

Characteristics of ongoing studies [ordered by study ID]

ISRCTN82217627

Trial name or title

PRECIOUS: PREvention of Complications to Improve OUtcome in elderly patients with acute Stroke. A randomized, open, phase III, clinical trial with blinded outcome assessment

Methods

International, multi‐centre, multi‐factorial, randomised controlled, open‐label trial with blinded outcome assessment

Participants

Adults over 66 years of age with a clinical diagnosis of acute ischaemic stroke or intracerebral haemorrhage

Inclusion criteria:

  • Clinical diagnosis of acute ischaemic stroke or intracerebral haemorrhage (confirmed on CT or MRI scan)

  • Score on NIHSS ≥ 6, indicating moderately severe to severe stroke

  • Aged 66 years or older

  • Possibility to start trial treatment within 12 hours of symptom onset

Exclusion criteria:

All participants:

  • Active infection requiring antibiotic treatment, as judged by the treating physician

  • Pre‐stroke score on the mRS ≥ 4

  • Death appearing imminent at the time of assessment

For the ceftriaxone arm:

  • Known hypersensitivity to beta‐lactam antibiotics

For the paracetamol arm:

  • Known hypersensitivity to paracetamol or any of the excipients

  • Known severe hepatic insufficiency

  • Chronic alcoholism

For the metoclopramide arm:

  • Hypersensitivity to metoclopramide or to any of the excipients

  • Gastrointestinal haemorrhage, mechanical obstruction, or gastro‐intestinal perforation, for which stimulation of gastrointestinal motility constitutes a risk

  • Confirmed or suspected pheochromocytoma

  • History of neuroleptic or metoclopramide‐induced tardive dyskinesia

  • Epilepsy

  • Parkinson's disease

  • Use of levodopa or dopaminergic agonists

  • Known history of methaemoglobinaemia with metoclopramide, or of NADH cytochrome‐b5 deficiency

Interventions

Participants will be randomly allocated in a 2*2*2 factorial design to any combination of open‐label oral or rectal metoclopramide (10 mg 3 times daily); intravenous ceftriaxone (2000 mg once daily); or oral, rectal, or intravenous paracetamol (1000 mg 4 times daily); or to usual care, started within 12 hours after symptom onset and continued for 4 days or until complete recovery or discharge from hospital, if earlier. Allocation will be based on proportional minimisation through a web‐based allocation service. Investigators will have the opportunity to censor a single specific randomisation arm in a specific participant before randomisation, for example in case of an allergy to 1 of the interventions. Participants will have follow‐up at 7 and 91 days.

Outcomes

Primary outcome: handicap as assessed by score on the mRS at 91 days (± 14), and analysed via ordinal logistical regression

Secondary outcomes:

At 7 days (± 1 day) or at discharge, if earlier:

  • Infection in the first 7 days (± 1 day; frequency, type, and Clostridium difficile infection). Infections will be categorised as diagnosed by the clinician, and as judged by an independent adjudication committee (masked to treatment allocation)

  • Third‐generation cephalosporin resistance in the first 7 days (± 1 day), detected as part of routine clinical practice

  • Antimicrobial use during the first 7 days (± 1 day), converted to units of defined daily doses according to the classification of the WHO Anatomical Therapeutic Chemical Classification System with Defined Daily Doses Index

  • In a subgroup of patients, presence of extended‐spectrum beta‐lactamase (ESBL)‐producing bacteria as detected by PCR in a rectal swab

At 91 days (± 14 days):

  • Death

  • Unfavourable functional outcome, defined as mRS 3 to 6

  • Disability assessed by score on the BI

  • Cognition assessed by MoCA

  • Quality of life assessed by EuroQol 5D‐5L (EQ‐5D‐5L)

  • Home time: duration of stay in the patient’s own home or in a relative’s home over the first 90 days

  • Participant location over first 91 days (± 14 days): hospital; rehabilitation service; long‐term care nursing facility; home

  • SAEs in the first 14 days

Starting date

June 2015

Contact information

Dr Bart van der Worp, Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, The Netherlands

Notes

BI: Barthel Index.
CT: computerised tomography.
EQ‐5D‐5L: EuroQoL Group quality of life questionnaire based on a five‐level scale.
ESBL: extended‐spectrum beta‐lactamase.
MoCA: Montreal Cognitive Assessment.
MRI: magnetic resonance imaging.
mRS: modified Rankin Scale.
NIHSS: National Institutes of Health Stroke Scale.
PCR: polymerase chain reaction.
SAE: serious adverse event.
WHO: World Health Organization.

Data and analyses

Open in table viewer
Comparison 1. Forest plot of comparison: primary outcomes

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Case fatality at the end of follow‐up Show forest plot

8

4422

Risk Ratio (M‐H, Random, 95% CI)

1.03 [0.87, 1.21]

Analysis 1.1

Comparison 1 Forest plot of comparison: primary outcomes, Outcome 1 Case fatality at the end of follow‐up.

Comparison 1 Forest plot of comparison: primary outcomes, Outcome 1 Case fatality at the end of follow‐up.

2 Death or dependency at the end of follow‐up Show forest plot

7

4332

Risk Ratio (M‐H, Random, 95% CI)

0.99 [0.89, 1.10]

Analysis 1.2

Comparison 1 Forest plot of comparison: primary outcomes, Outcome 2 Death or dependency at the end of follow‐up.

Comparison 1 Forest plot of comparison: primary outcomes, Outcome 2 Death or dependency at the end of follow‐up.

Open in table viewer
Comparison 2. Forest plot of comparison: secondary outcomes

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Number of infections at the end of follow‐up Show forest plot

7

4317

Risk Ratio (M‐H, Random, 95% CI)

0.71 [0.58, 0.88]

Analysis 2.1

Comparison 2 Forest plot of comparison: secondary outcomes, Outcome 1 Number of infections at the end of follow‐up.

Comparison 2 Forest plot of comparison: secondary outcomes, Outcome 1 Number of infections at the end of follow‐up.

2 Number of UTIs at the end of follow‐up Show forest plot

6

4257

Risk Ratio (M‐H, Random, 95% CI)

0.40 [0.32, 0.51]

Analysis 2.2

Comparison 2 Forest plot of comparison: secondary outcomes, Outcome 2 Number of UTIs at the end of follow‐up.

Comparison 2 Forest plot of comparison: secondary outcomes, Outcome 2 Number of UTIs at the end of follow‐up.

3 Number of pneumonias at the end of follow‐up Show forest plot

6

4257

Risk Ratio (M‐H, Random, 95% CI)

0.95 [0.80, 1.13]

Analysis 2.3

Comparison 2 Forest plot of comparison: secondary outcomes, Outcome 3 Number of pneumonias at the end of follow‐up.

Comparison 2 Forest plot of comparison: secondary outcomes, Outcome 3 Number of pneumonias at the end of follow‐up.

Open in table viewer
Comparison 3. Forest plot of comparison: sensitivity analyses

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Functional outcome: low risk of bias studies Show forest plot

6

4191

Risk Ratio (M‐H, Random, 95% CI)

1.02 [0.98, 1.06]

Analysis 3.1

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 1 Functional outcome: low risk of bias studies.

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 1 Functional outcome: low risk of bias studies.

2 Number of infections: low risk of bias studies Show forest plot

6

4257

Risk Ratio (M‐H, Random, 95% CI)

0.72 [0.58, 0.89]

Analysis 3.2

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 2 Number of infections: low risk of bias studies.

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 2 Number of infections: low risk of bias studies.

3 Case fatality: double‐blind design Show forest plot

2

215

Risk Ratio (M‐H, Fixed, 95% CI)

1.62 [0.87, 3.00]

Analysis 3.3

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 3 Case fatality: double‐blind design.

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 3 Case fatality: double‐blind design.

4 Case fatality: open‐label design Show forest plot

5

4127

Risk Ratio (M‐H, Fixed, 95% CI)

1.03 [0.90, 1.17]

Analysis 3.4

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 4 Case fatality: open‐label design.

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 4 Case fatality: open‐label design.

5 Functional outcome: double‐blind design Show forest plot

2

215

Risk Ratio (M‐H, Fixed, 95% CI)

1.01 [0.80, 1.27]

Analysis 3.5

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 5 Functional outcome: double‐blind design.

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 5 Functional outcome: double‐blind design.

6 Functional outcome: open‐label design Show forest plot

5

4117

Risk Ratio (M‐H, Fixed, 95% CI)

0.98 [0.93, 1.03]

Analysis 3.6

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 6 Functional outcome: open‐label design.

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 6 Functional outcome: open‐label design.

Risk of bias summary: review authors' judgements about each risk of bias item for each included study, using the Cochrane 'Risk of bias' tool. '+' is defined as low risk of bias, '‐' as high risk of bias, '?' as unclear risk of bias.
Figuras y tablas -
Figure 1

Risk of bias summary: review authors' judgements about each risk of bias item for each included study, using the Cochrane 'Risk of bias' tool. '+' is defined as low risk of bias, '‐' as high risk of bias, '?' as unclear risk of bias.

Study flow diagram.
Figuras y tablas -
Figure 2

Study flow diagram.

Funnel plot of comparison: 1 Forest plot of comparison: primary outcomes, outcome: 1.1 Case fatality at the end of follow‐up.
Figuras y tablas -
Figure 3

Funnel plot of comparison: 1 Forest plot of comparison: primary outcomes, outcome: 1.1 Case fatality at the end of follow‐up.

Funnel plot of comparison: 1 Forest plot of comparison: primary outcomes, outcome: 1.2 Death or dependency at the end of follow‐up.
Figuras y tablas -
Figure 4

Funnel plot of comparison: 1 Forest plot of comparison: primary outcomes, outcome: 1.2 Death or dependency at the end of follow‐up.

Funnel plot of comparison: 2 Forest plot of comparison: secondary outcomes, outcome: 2.1 Number of infections at the end of follow‐up.
Figuras y tablas -
Figure 5

Funnel plot of comparison: 2 Forest plot of comparison: secondary outcomes, outcome: 2.1 Number of infections at the end of follow‐up.

Funnel plot of comparison: 2 Forest plot of comparison: secondary outcomes, outcome: 2.2 Number of UTIs at the end of follow‐up.
Figuras y tablas -
Figure 6

Funnel plot of comparison: 2 Forest plot of comparison: secondary outcomes, outcome: 2.2 Number of UTIs at the end of follow‐up.

Funnel plot of comparison: 2 Forest plot of comparison: secondary outcomes, outcome: 2.3 Number of pneumonias at the end of follow‐up.
Figuras y tablas -
Figure 7

Funnel plot of comparison: 2 Forest plot of comparison: secondary outcomes, outcome: 2.3 Number of pneumonias at the end of follow‐up.

Comparison 1 Forest plot of comparison: primary outcomes, Outcome 1 Case fatality at the end of follow‐up.
Figuras y tablas -
Analysis 1.1

Comparison 1 Forest plot of comparison: primary outcomes, Outcome 1 Case fatality at the end of follow‐up.

Comparison 1 Forest plot of comparison: primary outcomes, Outcome 2 Death or dependency at the end of follow‐up.
Figuras y tablas -
Analysis 1.2

Comparison 1 Forest plot of comparison: primary outcomes, Outcome 2 Death or dependency at the end of follow‐up.

Comparison 2 Forest plot of comparison: secondary outcomes, Outcome 1 Number of infections at the end of follow‐up.
Figuras y tablas -
Analysis 2.1

Comparison 2 Forest plot of comparison: secondary outcomes, Outcome 1 Number of infections at the end of follow‐up.

Comparison 2 Forest plot of comparison: secondary outcomes, Outcome 2 Number of UTIs at the end of follow‐up.
Figuras y tablas -
Analysis 2.2

Comparison 2 Forest plot of comparison: secondary outcomes, Outcome 2 Number of UTIs at the end of follow‐up.

Comparison 2 Forest plot of comparison: secondary outcomes, Outcome 3 Number of pneumonias at the end of follow‐up.
Figuras y tablas -
Analysis 2.3

Comparison 2 Forest plot of comparison: secondary outcomes, Outcome 3 Number of pneumonias at the end of follow‐up.

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 1 Functional outcome: low risk of bias studies.
Figuras y tablas -
Analysis 3.1

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 1 Functional outcome: low risk of bias studies.

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 2 Number of infections: low risk of bias studies.
Figuras y tablas -
Analysis 3.2

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 2 Number of infections: low risk of bias studies.

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 3 Case fatality: double‐blind design.
Figuras y tablas -
Analysis 3.3

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 3 Case fatality: double‐blind design.

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 4 Case fatality: open‐label design.
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Analysis 3.4

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 4 Case fatality: open‐label design.

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 5 Functional outcome: double‐blind design.
Figuras y tablas -
Analysis 3.5

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 5 Functional outcome: double‐blind design.

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 6 Functional outcome: open‐label design.
Figuras y tablas -
Analysis 3.6

Comparison 3 Forest plot of comparison: sensitivity analyses, Outcome 6 Functional outcome: open‐label design.

Preventive antibiotic therapy compared with placebo and/or conventional management in acute stroke

Patient or population: patients with acute ischaemic or haemorrhagic stroke

Setting: acute stroke management

Intervention: preventive antibiotic therapy for systemic use, at any dose or length of treatment

Comparison: placebo and/or conventional acute stroke management

Outcomes

Absolute risk

Relative effect
(95% CI)

No. of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with placebo and/or conventional management

Risk with preventive antibiotic treatment

Case fatality at the end of follow‐up

Study population

RR 1.03

(0.87 to 1.21)

4422

(8)

⊕⊕⊕⊕
higha,b

163 per 1000

169 per 1000

Poor functional outcome at the end of follow‐up

Study population

RR 0.99

(0.89 to 1.10)

4332

(7)

⊕⊕⊕⊕
moderatea,b.c.d.e

547 per 1000

535 per 1000

Number of infections at the end of follow‐up

Study population

RR 0.71

(0.58 to 0.88)

4317

(7)

⊕⊕⊕⊕
higha,b,f

259 per 1000

189 per 1000

Number of UTIs at the end of follow‐up

Study population

RR 0.40

(0.32 to 0.51)

4257

(6)

⊕⊕⊕⊕
higha,b

96 per 1000

39 per 1000

Number of pneumonias at the end of follow‐up

Study population

RR 0.95

(0.80 to 1.13)

4257

(6)

⊕⊕⊕⊕
higha,b

111 per 1000

105 per 1000

Occurrence of elevated body temperature

Insufficient data. Assessed qualitatively in only 2 studies

Rate of serious adverse events

No major side effects of preventive antibiotic therapy were reported.

*The absolute risk is calculated using the absolute numbers of events in both study arms.
CI: confidence interval; RR: risk ratio; UTIs: urinary tract infections.

GRADE Working Group grades of evidence.
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

aLarge number of included studies, large number of participants, and small confidence interval (ultimately low risk of bias). Good applicability in clinical practice.

bLimited publication bias cannot be excluded, as funnel plots for primary outcomes were skewed at the base, towards good outcomes.

cRegarding risk of bias of individual included studies, more than two of the included studies scored at least one criterion of ’unclear’ and/or ’high’ risk of bias on the Cochrane 'Risk of bias' summary (Figure 1). However, the effect on primary outcomes was consistent among studies with 'low' risk of bias.

dRegarding consistency of effect, heterogeneity was substantial (I² = 79%). However, overall effect estimates were precise. Stratifying for included studies with 'low risk of bias' resulted in loss of heterogeneity (I² = 4%) and did not affect outcomes. Therefore, we did not downgrade the quality of evidence.

eDowngraded owing to multiple remarks on GRADE considerations, despite the fact that all remarks can be explained and rectified.

fRegarding consistency of effect, heterogeneity was moderate (I² = 56%). However, overall effect estimates were precise. Therefore, we did not downgrade the quality of evidence.

Figuras y tablas -
Comparison 1. Forest plot of comparison: primary outcomes

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Case fatality at the end of follow‐up Show forest plot

8

4422

Risk Ratio (M‐H, Random, 95% CI)

1.03 [0.87, 1.21]

2 Death or dependency at the end of follow‐up Show forest plot

7

4332

Risk Ratio (M‐H, Random, 95% CI)

0.99 [0.89, 1.10]

Figuras y tablas -
Comparison 1. Forest plot of comparison: primary outcomes
Comparison 2. Forest plot of comparison: secondary outcomes

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Number of infections at the end of follow‐up Show forest plot

7

4317

Risk Ratio (M‐H, Random, 95% CI)

0.71 [0.58, 0.88]

2 Number of UTIs at the end of follow‐up Show forest plot

6

4257

Risk Ratio (M‐H, Random, 95% CI)

0.40 [0.32, 0.51]

3 Number of pneumonias at the end of follow‐up Show forest plot

6

4257

Risk Ratio (M‐H, Random, 95% CI)

0.95 [0.80, 1.13]

Figuras y tablas -
Comparison 2. Forest plot of comparison: secondary outcomes
Comparison 3. Forest plot of comparison: sensitivity analyses

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Functional outcome: low risk of bias studies Show forest plot

6

4191

Risk Ratio (M‐H, Random, 95% CI)

1.02 [0.98, 1.06]

2 Number of infections: low risk of bias studies Show forest plot

6

4257

Risk Ratio (M‐H, Random, 95% CI)

0.72 [0.58, 0.89]

3 Case fatality: double‐blind design Show forest plot

2

215

Risk Ratio (M‐H, Fixed, 95% CI)

1.62 [0.87, 3.00]

4 Case fatality: open‐label design Show forest plot

5

4127

Risk Ratio (M‐H, Fixed, 95% CI)

1.03 [0.90, 1.17]

5 Functional outcome: double‐blind design Show forest plot

2

215

Risk Ratio (M‐H, Fixed, 95% CI)

1.01 [0.80, 1.27]

6 Functional outcome: open‐label design Show forest plot

5

4117

Risk Ratio (M‐H, Fixed, 95% CI)

0.98 [0.93, 1.03]

Figuras y tablas -
Comparison 3. Forest plot of comparison: sensitivity analyses