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Blood–brain barrier (BBB) function and cerebrospinal fluid (CSF) biomarkers were measured in patients admitted to hospital with severe neurological infections in the Lao People''s Democratic Republic (N = 66), including bacterial meningitis (BM; N = 9) or tuberculosis meningitis (TBM; N = 11), Japanese encephalitis virus (JEV; N = 25), and rickettsial infections (N = 21) including murine and scrub typhus patients. The albumin index (AI) and glial fibrillary acidic protein (GFAP) levels were significantly higher in BM and TBM than other diseases but were also raised in individual rickettsial patients. Total tau protein was significantly raised in the CSF of JEV patients. No differences were found between clinical or neurological symptoms, AI, or biomarker levels that allowed distinction between severe neurological involvement by Orientia tsutsugamushi compared with Rickettsia species.Central nervous system (CNS) infections are caused by a range of different pathogens and a major cause of morbidity and mortality worldwide.1,2 Orientia tsutsugamushi and Rickettsia spp. infections have recently been identified as a major cause of CNS disease in Lao People''s Democratic Republic (Laos) in a large prospective study3 where 9% of all CNS infections were caused by O. tsutsugamushi, Rickettsia spp., or Leptospira spp.4 Differentiating these organisms in scrub and murine typhus patients from other causes of meningoencephalitis such as bacterial or tuberculous meningitis is diagnostically challenging. Neurological manifestations of severe typhus occur in up to 10% of cases, with headache, photophobia and meningeal symptoms, decreased consciousness, or even death.48 Japanese encephalitis virus (JEV) is also an important cause of CNS disease.9 Neuropathological data from autopsy cases of rickettsial and JEV deaths are limited,10 so studying the cerebrospinal fluid (CSF) of living patients may help diagnosis and our understanding of the pathophysiology of CNS rickettsial, as opposed to other, infections.11,12This study compared blood–brain barrier (BBB) function and CSF biomarkers of cellular activation and injury in patients with severe neurological infections from Laos and explored their relationship with clinical presentation and laboratory findings. Patients (N = 66) were part of a hospital-based prospective study of CNS infections and included if matching samples of admission plasma and CSF were available. Ethical approval was granted by OXTREC (015-02, University of Oxford, United Kingdom) and the Faculty of Medical Sciences Committee (University of Health Sciences, Lao PDR).3 The following groups were included: bacterial meningitis (BM: N = 9; Streptococcus pneumonia [N = 5], Neisseria meningitides [N = 2], S. suis [N = 1], S. viridans [N = 1]); Mycobacterium tuberculosis meningitis (TBM, N = 11); Japanese B encephalitis virus (JEV, N = 25), and rickettsial infections (N = 21): O. tsutsugamushi (N = 11), Rickettsia typhi (N = 7), and (N = 3) other Rickettsia spp. Bacterial molecular diagnostics and Rickettsia culture and typing were performed as described.3 TBM was defined as CSF culture positivity for M. tuberculosis on Lowenstein–Jensen medium with subsequent molecular confirmation (GenoType MTBDRplus version 2; Hain Lifescience, Nehren, Germany). JEV cases were confirmed by enzyme-linked immunosorbent assay (ELISA) on CSF using the Japanese encephalitis Dengue IgM Combo ELISA test (E-JED01C, Panbio, Japan) or by pan-flavivirus polymerase chain reaction (PCR) and sequencing (N = 1; Macrogene, Korea; NCBI/Blastn: Identity 97% to GQ902059.1, E-value: 8e-79, coverage: 100%, c782-PF3PF2b:GGTTCATGTGGCTGGGAGCACGGTACCTAGAGTTTGAAGCCCTAGGATTTCTAAATGAAGACCATTGGCTGAGCCGAGAGAATTCAGGAGGCGGGGTGGAAGGTTCAGGCGTCCAAAAGCTGGGATACATCCTCCGTGACATTGCAGGGAAGCAAGGAGGAAAAATGTATGCCGATGA).13 Changes in BBB function were assessed using the albumin index (AI; [AI = (CSF/plasma albumin)× 103]) to determine leakage across the BBB.9 Plasma and CSF (1:2,000 dilution) were tested using human plasma albumin ELISA (Assaypro, St. Charles, MO) and CSF albumin ELISA kits (Abnova, Taipei City, Taiwan), respectively. Other biomarkers were measured using commercial ELISA kits according to manufacturer''s instructions to assess the astrocyte marker glial fibrillary acidic protein (GFAP; BioVendor, Brno, Czech Republic) and S100b for astroglial cells (BioVendor), neuron-specific enolase (NSE; USCN, Hubei, China), and total tau protein for axonal/neuronal damage (Invitrogen, Carlsbad, CA).12 CSF samples were used undiluted (S100b, GFAP) or diluted (tau 1:2; NSE 1:10). Optical density values at 450 nm were determined by spectrophotometer (Multiskan Go; Thermo scientific, Waltham, MA), and the albumin/biomarker concentration was calculated from standard curves. Data were summarized using medians (interquartile range, [IQR]) or frequencies (%). Pairwise associations between AI and biomarker levels with demographics, clinical signs and symptoms, severity and outcome measures, and laboratory measures were assessed using Kendall''s rank correlation coefficient for continuous variables and the Mann–Whitney U test for categorical variables. Statistical analyses were done using Stata v12.0 (StataCorp LP, College Station, TX).The demographics, clinical, and laboratory findings are summarized in 3

Table 1

Demographic and clinical details, laboratory findings, AI, and biomarker levels by disease group
All patientsBMTBMJEVRickettsia spp.Orientia tsutsugamushiGrouped Rickettsia pathogens
N = 66N = 9N = 11N = 25N = 10N = 11N = 21
Demographic and general data
 Age (years)19 (13–38)43 (18–53)35 (22–52)16 (8–20)27 (16–48)16 (7–35)19 (13–41)
 Age < 15 years18 (27.3)0 (0)0 (0)12 (48.0)2 (20)4 (36.4)6 (28.6)
 Weight (kg)45 (20–54); 2354 (43–55); 250 (47–55); 527 (14–45); 748 (34–50); 435 (16.5–55); 548 (18.3–52.5); 9
 Male46 (69.7)7 (77.8)8 (72.7)18 (72.0)6 (60.0)7 (63.6)13 (61.9)
Clinical signs and symptoms
 Temperature at admission (°C)38.0 (37.5–39.0)37.5 (37.5–38.0)38.0 (37.7–39.3)38.0 (37.0–39.0)38.0 (36.6–38.5)38.5 (37.5–39.5)38.5 (37.5–38.5)
 Headache57 (86.4)9 (100)10 (90.9)22 (88.0)9 (90.0)7 (63.6)16 (76.2)
 Vomiting38 (57.6)4 (44.4)5 (45.5)17 (68.0)5 (50.0)7 (63.6)12 (57.1)
 Seizure22 (33.3)0 (0)1 (9.09)12 (56.0)3 (30.0)4 (36.4)7 (33.3)
 Stiff neck47 (71.2)6 (66.7)7 (63.6)21 (84.0)6 (60.0)7 (63.6)13 (61.9)
 Skin rash6 (9.09)0 (0)2 (18.2)2 (8.00)0 (0)2 (18.2)2 (9.52)
 Hearing loss4 (6.06)1 (11.1)0 (0)2 (12.0)0 (0)0 (0)0 (0)
 Photophobia1 (1.52)0 (0)0 (0)0 (0)0 (0)1 (9.09)1 (4.76)
 Visual loss7 (10.6)2 (22.1)1 (9.1)3 (12.0)1 (10)0 (0)1 (4.8)
 Eschar1 (1.52)0 (0)0 (0)0 (0)0 (0)1 (9.09)1 (4.76)
Severity and outcome measures
 Died13 (25.5); 151 (14.3); 27 (87.5); 32 (11.1); 71 (11.1); 12 (22.2); 23 (16.7); 3
 GCS13 (10–15); 114 (11–15)12 (7–15)12 (9–14); 113.5 (10–15)15 (13–15)14 (12–15)
 GCS < 1545 (69.2); 16 (66.7)8 (72.7)19 (79.2); 17 (70.0)5 (45.5)12 (57.1)
 Meningism (WHO)52 (78.8)6 (66.7)8 (72.7)22 (88.0)7 (70.0)9 (81.8)16 (76.2)
 AES (WHO)50 (75.8)5 (55.6)8 (72.7)23 (92.0)7 (70.0)7 (63.6)14 (66.7)
 Meningism and AES (WHO)47 (71.2)5 (55.6)7 (63.6)22 (88.0)7 (70.0)6 (54.6)13 (61.9)
Laboratory investigation
 Opening pressure (cm H2O)*20 (15–34); 219.0 (10.3–34.3); 136.5 (17.0–41.0); 121.0 (17.0–27.0)15.8 (12.5–20.0)20.0 (16.0–40.0)20.0 (15.0–34.0)
 Turbid10 (16.1); 44 (44.4)1 (9.09)2 (8.33); 11 (12.5); 22 (20.0); 13 (16.7)
 Total white cell count/mm388 (10–286)286 (45–1,085)170 (85–385)80 (20–225)8 (0–25)115 (5–275)25 (0–165)
 Neutrophils ≥ 1/mm353 (80.3)7 (77.8)10 (90.9)22 (88.0)5 (50.0)9 (81.8)14 (66.7)
 Median (range)40.3 (5.00–130)280 (30.0–738)95.0 (30.0–165)35.2 (5.00–110)5.00 (0–25.0)44.8 (5.00–130)10.0 (0–65.0.)
 Lymphocytes > 5/mm342 (63.6)6 (66.7)9 (81.8)18 (72.0)3 (30.0)6 (54.6)9 (42.9)
 Median (range)21.1 (3.90–75.0)20 (4.95–64.0)55.0 (30.0–245)24.8 (5.00–115)0 (0–15.0)20.8 (0–100)5.00 (0–25.2)
 Neutrophil:lymphocyte ratio1.27 (0.37–3.20); 169.0 (2.13–49.0); 22.55 (0.55–3.17); 10.70 (0.52–3.00); 30.43 (0.10–1.00); 61.30 (0.15–6.69); 41.00 (0.15–1.78); 10
 Lactate > 4 mmol/L19 (31.7); 64 (50.0); 18 (80.0); 12 (8.33); 12 (25.0); 23 (30.0); 15 (27.8); 3
 Glucose < 2.5 mmol/L14 (22.2); 31 (12.5); 14 (36.4)7 (28.0)0 (0); 22 (18.2)2 (10.5); 2
 Protein > 40 mg/L44 (71.0); 46 (85.7); 28 (72.7)17 (68.0)4 (50.0); 29 (81.8)13 (68.4); 2
 CSF/blood glucose ratio < 0.540 (69.0); 82 (50.0); 511 (100)14 (58.3); 15 (62.5); 28 (72.7)13 (68.4); 2
Biomarkers
 Plasma albumin (g/L)34.0 (26.8–39.3)36.2 (32.9–44.3)29.7 (20.2–35.6)34.7 (28.8–40.8)39.5 (30.6–44.7)33.2 (22.0–35.1)34.2 (25.4–39.3)
 CSF albumin (g/L)0.44 (0.30–0.70)1.00 (0.33–1.42)0.74 (0.33–1.32)0.37 (0.26–0.51)0.42 (0.24–0.51)0.56 (0.30–0.70)0.47 (0.30–0.68)
 AI = CSF:plasma/albumin ratio (×1,000)13.9 (9.41–23.5)28.9 (8.72–40.0)28.7 (16.3–45.2)11.4 (9.06–13.9)12.4 (6.05–16.8)17.2 (13.9–26.5)14.4 (10.3–19.8)
 CSF tau (pg/mL)1,479 (404–4,103); 1226 (143–261)862 (313–3,439)3,411 (2,268–6,997)590 (404–2,845); 1578 (331–3,032)584 (368–2,939); 1
 CSF GFAP (ug/L)0.84 (0.21–3.50); 25.92 (0.94–20.7)6.67 (0.15–32.0)0.70 (0.38–1.82)0.23 (0.16–0.86); 10.80 (0.11–1.64); 10.42 (0.16–1.10); 2
 CSF S100b (ng/L)421 (156–762); 2677 (417–955)473 (71–797)513 (227–801)166 (134–325); 1226 (171–495); 1225 (134–444); 2
 CSF NSE (ng/mL)6.88 (4.08–14.4); 114.3 (8.09–30.3)16.8 (6.88–26.4)6.43 (4.53–12.2)4.41 (1.10–18.7)6.29 (1.35–7.43); 15.59 (1.26–9.62); 1
Open in a separate windowAES = acute encephalitis syndrome; AI = albumin index; BM = bacterial meningitis; CSF = cerebrospinal fluid; GFAP = glial fibrillary acidic protein; IQR = interquartile range; JEV = Japanese encephalitis virus; NSE = neuron-specific enolase; TBM = Mycobacterium tuberculosis meningitis; WHO = World Health Organization.Grouped Rickettsia pathogens: Rickettsia spp. and O. tsutsugamushi. Data are given as “median (IQR); missing” or “number (%); missing.” “AES” was defined according to WHO guidelines “as a person of any age, at any time of year with the acute onset of fever and either a change in mental status (including symptoms such as confusion, disorientation, coma, or inability to talk) and/or new onset of seizures (excluding simple febrile seizures).” “Meningitis” was defined according to WHO guidelines as “a sudden onset of fever (> 38.5°C rectal or 38.0°C axillary) with one of the following signs: neck stiffness, altered consciousness, or other meningeal sign(s).” Meningoencephalitis was defined as fulfilling both criteria.*41 indicating > 40 cm H2O.BBB leakage, measured using AI, increased in all clinical groups (Figure 1A), although only TBM cases showed a significantly raised AI compared with the lowest group, JEV infection (P = 0.0081; Figure 1A ). Patients with scrub typhus (median = 17.2, IQR = 13.9–26.5) showed a nonsignificantly higher AI than other rickettsial infections (median = 12.4, IQR = 6.1–16.8). Individual cases with both infections showed markedly raised AI, significantly correlated with higher levels of CSF lactate, white cell counts, and protein, but not CSF opening pressure (Open in a separate windowFigure 1.AI as a measure of blood–brain barrier (BBB) function, the correlation between AI and CSF biomarkers and levels of biomarkers of neurological injury, comparing different types of CNS infection. Middle lines indicate median; error bars represent IQR. (A) AI in different clinical groups. Shaded areas show control values of AI.11,1416 (B) The correlation between AI and GFAP. (C) The correlation between AI and tau. (D) The correlation between GFAP and S100B. (E–H) Distribution of biomarkers in the CSF of individual patients shown as dot plots. The middle line indicating median, and error bars represent IQR. Shaded areas show control values.15,16 (E) GFAP (reference range: median = 0.61, IQR = 0.45–1.06), (F) S100B (reference range: median = 375, IQR = 270.4–443.5), (G) tau (reference range: median = 171, IQR = 117–310), and (H) NSE (reference range: median = 2.67, IQR = 2.17–3.80). AI = albumin index; BM = bacterial meningitis; CNS = central nervous system; CSF = cerebrospinal fluid; GFAP = glial fibrillary acidic protein; IQR = interquartile range; JEV = Japanese encephalitis virus; NSE = neuron-specific enolase; OT = Orientia tsutsugamushi; Rspp = Rickettsia genus; TBM = Mycobacterium tuberculosis meningitis.

Table 2

Statistical comparisons of CSF results, clinical and laboratory data
(log) AITauGFAPS100bNSE
Demography and general data
 Age0.02150.0148NSNSNS
 WeightNSNSNSNSNS
Clinical signs and symptoms
 HeadacheNSNSNSNSNS
 VomitingNSNSNSNSNS
 Seizures0.00550.0003NSNSNS
 RashNSNSNSNSNS
 Hearing lossNS0.0075NSNSNS
 PhotophobiaNSNSNSNSNS
 EscharNSNSNSNSNS
 Visual lossNS0.0422NSNSNS
Severity and outcome measures
 OutcomeNSNSNSNSNS
 GCSNS0.00950.01070.02370.0213
 WHO meningismNS0.01340.02720.00640.0427
 WHO AESNS0.00010.03120.0126NS
 WHO men and AESNS0.0007NS0.0087NS
Laboratory investigations
 CSF opening pressureNSNSNSNSNS
 TurbidityNSNSNSNSNS
 CSF white cells/mm3< 0.0001NS0.00380.00240.0030
 CSF neutrophils/mm30.0001NS0.00120.00170.0036
 CSF lymphocytes/mm30.0004NSNS0.03370.0255
 Blood/CSF glucose ratio0.0001NSNSNS0.0437
 CSF lactate > 4 mmol/L0.0001NS0.00010.04460.0143
 CSF glucose < 2.5 mmol/LNSNSNSNSNS
 CSF protein > 40 mg/L0.0020NSNS0.04810.0303
 BilirubinNSNSNSNSNS
 HematocritNSNSNSNSNS
Open in a separate windowAES = acute encephalitic syndrome; AI = albumin index; CSF = cerebrospinal fluid; GFAP = glial fibrillary acidic protein; NS = nonsignificant; NSE = neuron-specific enolase; WHO = World Health Organization.Comparisons across clinical groups were made using the Kruskal–Wallis equality-of-populations rank test. Because of the exploratory nature of this study and multiple comparisons, a conservative P value of < 0.01 was considered significant (shown in bold). Exact P values are reported (for values < 0.05) for Bonferroni correction (α/n, where α = 0.05 and n = number of tests), if preferred.Tau and GFAP are only produced in the brain, and raised AI was significantly correlated with GFAP levels (P = 0.0001; Figure 1B), but not tau (P = 0.043; Figure 1C). NSE can be produced elsewhere in the body, so increased levels in the CSF could reflect leak across the BBB from the blood. NSE levels were positively correlated with AI as a marker for BBB leakage (P < 0.0001). Both GFAP and S100b are markers of astrocytic activation, and raised levels reflect either activation or damage to the BBB. A strong correlation between GFAP and S100b levels was seen (rho = 0.489, P < 0.0001; Figure 1D). GFAP was highest in TBM and BM cases but not significantly different across groups (P = 0.0678). Rickettsial patients showed GFAP and S100b levels generally within or around normal range compared with TBM and BM cases (Figure 1EF). Total tau was significantly higher in the JEV group compared with other groups (P = 0.0001, Figure 1G), with rickettsial infections showing higher median levels than BM cases, suggestive of neuronal/axonal damage (Figure 1H and 11,1416 The degree of BBB leakage varied between and within groups, similar to a previous study of neurological infections in Vietnam.11 TBM and BM cases had significantly higher BBB leakage and more obvious inflammatory responses in the CSF with raised lactate, leukocytosis, protein release, and decreased CSF/blood glucose ratio, compared with JEV or rickettsial infections. Both scrub and murine typhus patients showed heterogeneous results, with individual patients showing very high BBB leakage, but overall not significantly different from other causes of neurological infection.Changes in BBB function were strongly correlated with rises in both GFAP and NSE. GFAP levels were higher in diseases also showing BBB leakage, including BM and TBM. This is consistent with a primary function of astrocytes in maintaining structural integrity of the BBB, so increased AI is reflected in higher astrocyte markers. NSE is released in chronic and acute neuronal damage, for instance after seizures, but no significant difference was seen in NSE levels between groups.A novel finding of this study was the significant rise in the neuronal/axonal marker (total) tau in the group with JEV. Tau is a phosphoprotein that binds tubulin and promotes microtubule assembly and stability. Raised levels reflect rapidly progressive neuroaxonal degeneration, as reported in dementia and multiple sclerosis.16 Although raised tau in JEV cases indicates acute release, as might be expected in a neurotropic virus, the lack of raised NSE in the same cases argues for a process affecting axons rather than neurons. Further diagnostic studies using tau and other axonal injury markers such as amyloid precursor protein (beta APP) are required in larger cohorts of JEV patients.This study aimed to examine BBB and CSF biomarkers as aids to the diagnosis and understanding of CNS rickettsial disease, in comparison to other severe neurological infections. CSF examination alone, or addition of biomarkers, could not differentiate rickettsial from other neurological infections in this setting. No significant differences could be found between either rickettsial patients compared with other groups or between scrub and murine typhus patients. The results indicate that microbiological investigation remains the mainstay of diagnosis to guide treatment, as adjuvant biomarkers were not helpful given the heterogeneous host response to neurological rickettsial infection.  相似文献   
3.
ABSTRACT

In backyard farms of Lao People’s Democratic Republic, mixed-species rearing of poultry is a breeding-ground for cross-species transmission. Here, the epidemiology of viruses circulating among backyard poultry in Vientiane Province was assessed to guide future control strategies. Oral/tracheal and cloacal swabs, collected from 605 poultry (308 ducks, 297 chickens) between 2011 and 2015, were screened by PCR for Newcastle disease virus (NDV), coronavirus (CoV) and chicken anaemia virus (CAV). Chicken sera were screened for anti-NDV antibodies by ELISA. Statistical and phylogenetic analyses revealed transmission patterns and relationships.

Closely related strains co-circulated in chickens and ducks. While CoV RNA was detected in oral/tracheal swabs of 9.3% of the chickens and 2.4% of the ducks, rates were higher in faecal swabs of both species (27.3% and 48.2%). RNA of infectious bronchitis virus (IBV) and duck CoV was found in faecal swabs of chickens (19.7% and 7.1%) and ducks (4.1% and 44.1%). Moreover, DNA of the generally chicken-specific CAV was detected in oral/tracheal swabs of chickens (18.1%) and, sporadically, of ducks (2.4%). Despite serological evidence of NDV circulation or vaccination (86.9%), NDV RNA was not detected. We found a high prevalence and indication for cross-species transmission of different CoV strains in backyard poultry. Interestingly, ducks served as biological, or at least mechanical, carriers of viral strains closely related not only to IBV, but also to CAV. Bird containment and poultry species separation could be first steps to avoid cross-species transmission and emergence of novel strains with broad host range and enhanced pathogenicity.

RESEARCH HIGHLIGHTS
  • High rates of avian viruses were detected by PCR in backyard poultry from Lao PDR.

  • Diverse coronavirus and chicken anemia virus strains co-circulated.

  • Phylogenetic analyses suggested virus transmission between chickens and ducks.

  • Serological evidence of Newcastle disease was found, but viral RNA was not detected.

  相似文献   
4.

Purpose

The purpose of the present study was to investigate whether thrombomodulin (TM) prevents the development of pulmonary hypertension (PH) in monocrotaline (MCT)-injected rats.

Methods

Human recombinant TM (3 mg/kg/2 days) or saline were given to MCT-injected male Sprague–Dawley rats for 19 (n = 14) or 29 (n = 11) days. Control rats (n = 6) were run for 19 days. The mean pulmonary artery pressure (mPAP), right ventricular hypertrophy (RVH), percentages of muscularized peripheral arteries (%muscularization), and medial wall thickness of small muscular arteries (%MWT) were measured. To determine inflammatory and coagulation responses, broncho-alveolar lavage fluid (BALF) was analyzed in another set of rats (n = 29). Western blotting for endothelial nitric oxide synthase (eNOS) and phosphorylated eNOS (peNOS) in the lung tissue was performed in separate rats (n = 13). Survival was determined in 60 rats.

Results

MCT increased mPAP, RVH, %muscularization, and %MWT. TM treatment significantly reduced mPAP, %muscularization, and %MWT in peripheral arteries with an external diameter of 50–100 μm in 19 days after MCT injection, but the effect was lost after 29 days. MCT increased the levels of tumor necrosis factor alpha, monocyte chemoattractant protein-1, and thrombin-antithrombin complex in BALF. Expression of eNOS increased in MCT rats, while peNOS decreased. The relative amount of peNOS to total eNOS increased in MCT/TM rats compared to MCT/Vehicle rats. A Kaplan–Meier survival curve showed no difference with and without TM.

Conclusion

Although the administration of TM might slightly delay the progression of MCT-induced PH, the physiological significance for treatment is limited, since the survival rate was not improved.  相似文献   
5.
A prospective hospital-based study was undertaken to define the incidence of invasive pneumococcal disease (IPD) and circulating serotypes in Laos. Of 10,799 patients with hemocultures and 353 patients with cerebrospinal fluid samples, 0.21% and 5.4%, respectively, were positive for Streptococcus pneumoniae, giving a total of 35 IPD patients. We developed a real-time polymerase chain reaction to detect serotypes represented in the 13-valent pneumococcal vaccine. A blinded evaluation comparing serotype as defined by the Quellung reaction versus the polymerase chain reaction demonstrated 100% concordance. The most frequent serotype (n = 33 patients) was 1 (n = 6), followed by serotypes 5, 6A/B/C, 14, and 23F. Serotypes represented in the 7-valent polysaccharide-protein conjugate vaccine (PCV-7) infected 39% of patients, with 73% coverage for the PCV-10 and PCV-13 vaccines. Although the sample size is small, these data suggest that the PCV-7 vaccine may have relatively low efficacy in Laos. Further studies are urgently needed to guide pneumococcal vaccine policy in Laos.  相似文献   
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