| Literature DB >> 36048445 |
Marie Charmaine C Sy1, Adrian I Espiritu1,2, Jose Leonard R Pascual1.
Abstract
Importance: Stroke in tuberculous meningitis (TBM) is associated with significant morbidity and mortality. Objective: To determine the country-specific, regional, and overall prevalence of stroke among patients with TBM, including their clinical manifestations, stroke locations, and outcomes. Evidence Review: This systematic review searched records in MEDLINE by PubMed, Scopus, and EMBASE until July 2020 for relevant articles on the occurrence and characteristics of stroke in TBM. Randomized clinical trials and cohort studies that included a population of patients with TBM were analyzed for clinical manifestations, type of stroke, area of stroke, vascular territory, and outcomes. Studies that did not report the occurrence of stroke, reported as abstract only with no full-texts available, and articles not in English were excluded. The country-specific, regional, and overall frequencies of stroke among patients with TBM were determined; secondary analysis enumerated the summary estimates of the clinical presentations, common locations of stroke, and outcomes. The Murad tool was used to assess methodological quality. Findings: From 852 articles identified, 71 studies involving 2194 patients with stroke in TBM were included. The sample size for each study ranged from 17 to 806 patients. The frequency of stroke in TBM showed an estimate of 0.30 (95% CI, 0.26-0.33). The most common clinical manifestations were fever and headache. The lateral striate, middle cerebral, and medial striate arteries were typically affected. The basal ganglia, cortex and lobar, and internal capsule were the frequently involved areas of the brain. The pooled proportions of mortality and poor outcomes were 0.22 (95% CI, 0.16-0.29) and 0.51 (95% CI, 0.37-0.66), respectively. Conclusions and Relevance: The results of this systematic review suggest that stroke is considerably frequent among patients with TBM. The reported frequencies of stroke in TBM and its clinical features vary across the studies and populations.Entities:
Mesh:
Year: 2022 PMID: 36048445 PMCID: PMC9437750 DOI: 10.1001/jamanetworkopen.2022.29282
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Features of the Included Studies and Population
| Study | Duration, y | Setting | Study design | Sample, No. | Median (range) | Women:men ratio |
|---|---|---|---|---|---|---|
| Al-edrus et al,[ | NNR | Malaysia | Retrospective cohort | 42 | 34.4 (18-62) | 0.35:1 |
| Alarcon et al,[ | 15 | Ecuador | Retrospective cohort | 310 | 34.5 | 0.57:1 |
| Anderson et al,[ | 18 | New Zealand | Retrospective cohort | 104 | 26.8 (1-81) | 0.41:1 |
| Andronikou et al,[ | 4 | South Africa | Retrospective cohort | 130 | 3 (2 mo-13) | 0.47:1 |
| Anuradha et al,[ | 1 | India | Prospective cohort | 100 | 30 (14-84) | 0.49:1 |
| Azeemuddin et al,[ | 10 | Pakistan | Retrospective cohort | 559 | 42 (17-97) | 0.47:1 |
| Bandyopadhyay et al,[ | 3 | India | Prospective cohort | 82 | 36.1 (8.3) | NR |
| Bhargava et al,[ | NR | India | Retrospective cohort | 60 | NR | NR |
| Bullock et al,[ | 1 | South Africa | Retrospective cohort | 52 | NR | NR |
| Cagatay et al,[ | 11 | Turkey | Retrospective cohort | 42 | 33.9 (13.2) | 0.5:1 |
| Cantier et al,[ | 12 | France | Retrospective cohort | 90 | 43 (29-58) | 0.6:1 |
| Chan et al,[ | 6 | Hong Kong | Prospective cohort | 40 | 53 (18-85) | 0.4:1 |
| Chen et al,[ | 4 | Taiwan | Prospective cohort | 38 | 52.1 (19.8) | 0.52:1 |
| Chou et al,[ | 10 | Taiwan | Retrospective cohort | 43 | 53.3 (20-88) | 0.48:1 |
| Ersöz et al,[ | 11 | Turkey | Retrospective cohort | 60 | 27.5 (14-62) | 0.82:1 |
| George et al,[ | 2 | India | Retrospective cohort | 98 | 43.6 (14.4) | 0.60:1 |
| Gu et al,[ | 4 | China | Retrospective cohort | 156 | 32.9 (18.6) | 0.59:1 |
| Haji et al,[ | 3 | Pakistan | Prospective cohort | 110 | NR | NR |
| Helbok et al,[ | 6 | Thailand | Retrospective cohort | 43 | 29.7 (16) | 0.72:1 |
| Hosoglu et al,[ | 12 | Turkey | Retrospective cohort | 434 | 33 (13-83) | 0.76:1 |
| Hsieh et al,[ | 5 | Taiwan | Retrospective cohort | 40 | 57.9 (38-74) | NR |
| Hsu et al,[ | 6 | Taiwan | Retrospective cohort | 108 | 54.9 (18.6) | 0.52:1 |
| Jinkins et al,[ | NR | Saudi Arabia | Retrospective cohort | 80 | (2-76) | 0.86:1 |
| Kalita et al,[ | 1 | India | Prospective cohort | 122 | 32 (4-82) | 0.90:1 |
| Kalita et al,[ | NR | India | Prospective cohort | 26 | 23 (11-75) | 1.17:1 |
| Karande et al,[ | 3 | India | Prospective cohort | 123 | 72 (58.5) | 0.89:1 |
| Karstaedt et al,[ | 3 | South Africa | Retrospective cohort | 56 | 33.9 (18-59) | 0.66:1 |
| Kingsley et al,[ | 1 | United Kingdom | Prospective cohort | 25 | (1-70) | Not reported |
| Koh et al,[ | 5 | Korea | Prospective cohort | 38 | 34 (16-77) | 1.24:1 |
| Lan et al,[ | 5 | Taiwan | Retrospective cohort | 36 | 55 (16-83) | 1.6:1 |
| Leiguarda et al,[ | NR | Argentina | Prospective cohort | 65 | NR | NR |
| Li et al,[ | 3 | China | Retrospective cohort | 154 | 41 (24-59) | 0.77:1 |
| Lu et al,[ | 7 | China | Prospective cohort | 36 | 47 (16-83) | 0.56:1 |
| Lu et al,[ | 5 | Taiwan | Retrospective cohort | 101 | 36.7 (14-81) | 0.71:1 |
| Mai et al,[ | 2 | Vietnam | Randomized controlled trial | 120 | 40 (31-53) | 0.52:1 |
| Merkler et al,[ | 8 | US | Retrospective cohort | 806 | 50 (17.1) | 0.59:1 |
| Misra et al,[ | 3 | India | Randomized controlled trial | 17 | 18.8 (5-62) | 0.31:1 |
| Misra et al,[ | NR | India | Retrospective cohort | 118 | 30 (6-82) | 1.03:1 |
| Modi et al,[ | 5 | India | Prospective cohort | 209 | 30.4 (13.8) | 1:1 |
| More et al,[ | 2 | India | Prospective cohort | 115 | 34.86 (16.57) | 0.89:1 |
| Morgado et al,[ | 6 | South Africa | Retrospective cohort | 22 | 31 (19-57) | 0.83:1 |
| Napoli et al,[ | 7 | Italy | Retrospective cohort | 69 | 51.6 (16.9) | 0.35:1 |
| Omar et al,[ | 2 | South Africa | Retrospective cohort | 34 | 3.5 (3 mo-15) | 1.62:1 |
| Ozates et al,[ | 8 | Turkey | Retrospective cohort | 289 | 29.9 (12.7) | 0.84:1 |
| Pasticci et al,[ | 39 | Italy | Retrospective cohort | 30 | NR | NR |
| Pienaar et al,[ | NR | South Africa | Retrospective cohort | 30 | 4.7 (1-13) | 1.14:1 |
| Qu et al,[ | 7 | China | Retrospective cohort | 105 | NR | 0.84:1 |
| Raut et al,[ | 2 | India | Prospective cohort | 80 | 30.1 (14-68) | 0.86:1 |
| Roca et al,[ | 15 | Spain | Retrospective cohort | 29 | 34 (17-78) | 0.41:1 |
| Rohlwink et al,[ | 3 | South Africa | Prospective cohort | 44 | 3.3 (3 mo-13) | 0.57:1 |
| Rojas-Echeverri et al,[ | 3 | Mexico | Prospective cohort | 24 | 37 (18-65) | 0.5:1 |
| Samuel et al,[ | 2 | India | Prospective cohort | 127 | (7 mo-5) | NR |
| Shah et al,[ | NR | India | Prospective cohort | 63 | NR | 1.25:1 |
| Sharma et al,[ | 10 | India | Prospective cohort | 158 | 31.95 (13.96) | 0.74:1 |
| Sharma et al,[ | 2 | India | Prospective cohort | 146 | 31.8 (15.01) | 0.46:1 |
| Sheu et al,[ | 4 | Taiwan | Prospective cohort | 91 | 53.2 (19.8) | 0.64:1 |
| Shoeman et al,[ | 2 | South Africa | Retrospective cohort | 198 | NR | 0.96:1 |
| Shoeman et al,[ | 8 | South Africa | Retrospective cohort | 27 | 3.5 (1-7) | NR |
| Shukla et al,[ | 2 | India | Prospective cohort | 30 | 28.7 (14-56) | NR |
| Singh et al,[ | 2 | India | Prospective cohort | 47 | 28 (12-65) | 0.96:1 |
| Soni et al,[ | 4 | India | Retrospective cohort | 90 | 32 (10-82) | 1.14:1 |
| Springer et al,[ | 5 | South Africa | Retrospective cohort | 118 | 31.8 (18.3) | NR |
| Sutlas et al,[ | 12 | Turkey | Retrospective cohort | 61 | 34.5 (16-74) | 0.56:1 |
| Synmon et al,[ | 2 | India | Prospective cohort | 93 | 32.3 (17.05) | 0.62:1 |
| Tai et al,[ | 5 | Malaysia | Retrospective cohort | 51 | 35.1 (12.9) | 0.7:1 |
| Teoh et al,[ | NR | Hong Kong | Retrospective cohort | 64 | 27.4 (21.7) | 0.68:1 |
| Thwaites et al,[ | 2 | Vietnam | Randomized controlled trial | 27 | 31 (15-66) | NR |
| van Well et al,[ | 20 | Netherlands | Retrospective cohort | 554 | 2 (2-18) | 0.91:1 |
| Wasay et al,[ | 11 | Pakistan | Retrospective cohort | 559 | NR | NR |
| Yasar et al,[ | 11 | Turkey | Retrospective cohort | 160 | 32.18 (13.62) | 1:1 |
| Zhang et al,[ | 3 | China | Prospective cohort | 52 | 30.3 (9.9) | 0.36:1 |
Abbreviation: NR, not reported.
Mean value with SD (if available).
Summary Estimates of Stroke in Tuberculous Meningitis per Country
| Region/country | No. of studies | Patients with stroke, No. | Total patients, No. | Point estimate (95% CI) |
|---|---|---|---|---|
| Middle East and North Africa | ||||
| Saudi Arabia | 1 | 6 | 80 | 0.08 |
| North America | ||||
| US | 1 | 95 | 806 | 0.12 |
| Latin America and the Caribbean | ||||
| Argentina | 1 | 25 | 65 | 0.38 |
| Ecuador | 1 | 72 | 310 | 0.23 |
| Mexico | 1 | 11 | 24 | 0.46 |
| East Asia and Pacific | ||||
| China | 5 | 154 | 568 | 0.27 (0.22-0.31) |
| Hong Kong | 2 | 29 | 104 | 0.28 (0.19-0.36) |
| Korea | 1 | 8 | 38 | 0.21 |
| Malaysia | 2 | 46 | 93 | 0.46 (0.10-0.85) |
| New Zealand | 1 | 34 | 104 | 0.33 |
| Vietnam | 2 | 51 | 147 | 0.35 (0.27-0.42) |
| Europe and Central Asia | ||||
| France | 1 | 50 | 90 | 0.56 |
| Italy | 2 | 17 | 99 | 0.17 (0.10-0.24) |
| Netherlands | 1 | 164 | 554 | 0.30 |
| Spain | 1 | 4 | 29 | 0.14 |
| Turkey | 6 | 91 | 1046 | 0.09 (0.05-0.15) |
| United Kingdom | 1 | 12 | 25 | 0.48 |
| South Asia | ||||
| India | 20 | 567 | 1904 | 0.32 (0.25-0.38) |
| Pakistan | 3 | 351 | 1228 | 0.29 (0.25-0.33) |
| Taiwan | 7 | 117 | 392 | 0.31 (0.21-0.42) |
| Thailand | 1 | 16 | 43 | 0.37 |
| Sub-Saharan Africa | ||||
| South Africa | 10 | 274 | 711 | 0.40 (0.25-0.55) |
| Total | 71 | 2194 | 8460 | 0.30 (0.26-0.33) |
Figure 1. Regional Proportions of Stroke in Tuberculous Meningitis
The map shows the number of included studies and proportions of stroke in each region and overall. SPE indicates stroke point estimate.
Figure 2. Studies and Summary Estimates of Vascular Territories and Areas of Stroke in Tuberculous Meningitis
The figure shows the number of studies included in the analysis and frequency of stroke for various vascular territories and areas. SPE indicates stroke point estimate.