Outbreak of influenza and SARS-CoV-2 at the Armed Forces of the Philippines Health Service Education and Training Center, September 25-October 10, 2023.

In the last week of September 2023, a surge of influenza-like illness was observed among students of the Armed Forces of the Philippines (AFP) Health Service Education and Training Center, where 48 (27 males and 21 females; age in years: mean 33, range 27-41) of 247 military students at the Center presented with respiratory symptoms. Between September 25 and October 10, 2023, all 48 symptomatic students were evaluated with real-time reverse transcription polymerase chain reaction and sequencing for both influenza and SARS-CoV-2. Thirteen (27%) students were found positive for influenza A/H3 only, 6 (13%) for SARS-CoV-2 only, and 4 (8%) were co-infected with influenza A/H3 and SARS-CoV-2. Seventeen influenza A/ H3N2 viruses belonged to the same clade, 3C.2a1b.2a.2a.3a, and 4 SARSCoV-2 sequences belonged to the JE1.1 lineage, indicating a common source outbreak for both. The influenza A/H3N2 circulating virus belonged to a different clade than the vaccine strain for 2023 (3C.2a1b.2a.2a). Only 4 students had received the influenza vaccine for 2023. In response, the AFP Surgeon General issued a memorandum to all military health institutions on October 19, 2023 that mandated influenza vaccination as a prerequisite for enrollment of students at all education and training centers, along with implementation of non-pharmaceutical interventions and early notification and testing of students exhibiting influenza-like-illness.

Clinical characterization of COVID-19 breakthrough infections, Philippines.

We clinically characterized PCR detected breakthrough infections among partially/fully vaccinated cases with majority given an inactivated vaccine, CoronaVac. From 1 March to 15 July 2021, we detected 182 SARS-CoV-2 infections among vaccinated cases with 129 classified as breakthrough infections. Majority were male, 30-39 y.o., and were asymptomatic or mildly symptomatic with few severe cases. Alpha, Beta and Delta VOCs were detected from sequenced breakthrough infections. Healthcare workers had significantly lower Ct values(higher viral loads) versus non-HCWs. Our results underscore the importance of regular PCR screening for HCWs due to the risk of SARS-CoV-2 transmission from asymptomatic breakthrough infections and provide evidence supporting administration of a booster dose especially to HCWs.

Performance of a Rapid Diagnostic Test for Influenza in a Tertiary Military Hospital, Philippines.

INTRODUCTION: It is important to evaluate the performance of existing rapid influenza diagnostic tests (RIDTs) and the factors that can affect performance especially when the circulation dynamics of influenza strains change such as the displacement and replacement of the circulating seasonal influenza strains. MATERIALS AND METHODS: Nasal swabs were collected from patients presenting at V Luna Medical Center, Armed Forces of the Philippines Health Service Command, with influenza-like illness (ILI) with one swab tested using Quickvue (QV) influenza A+B RIDT (Quidel) and the other swab tested using the ABI 7500 (Applied Biosystems) real-time reverse transcriptase-polymerase chain reaction. Sensitivity, specificity, positive predictive value, and negative predictive value were estimated. We identified clinical symptoms predictive of influenza subtype and evaluated the independence of QV sensitivity on (1) Cycle threshold (Ct) value, controlling for timing of collection; (2) timing of collection, controlling for Ct value; and (3) Ct value and timing of collection taken together. RESULTS: Between August 2011 and October 2016, patients presenting with ILI (n = 2333) underwent testing. Quickvue sensitivity across all subtypes was significantly correlated with lower Ct values (higher virus titers) (P <.001) and, except for flu A/H3 (P = .974), was also significantly associated with timing of specimen collection (P <.05). No statistically significant difference was noted in QV sensitivity for Flu A/H3 (P = .130), pandemic H1/N1 (P = .207), Flu A/H3 + pandemic H1/N1 (P = .341), and Flu B (P = .103) across different age groups but sensitivity of QV significantly differed (P <.001) across the different influenza subtypes. CONCLUSION: Overall specificity of QV was high across all flu subtypes, but overall sensitivity was low (Flu A/pdm H1) to moderate (Flu A/H3 and Flu B). The findings highlight the need to develop more sensitive influenza RDTs to detect circulating influenza strains and the use of the quadrivalent flu vaccine during the annual influenza vaccination.

Coding-Complete Genome Sequences of 11 SARS-CoV-2 B.1.1.7 and B.1.351 Variants from Metro Manila, Philippines.

Here, we report the complete genome sequences of 11 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants from the Philippines. Lineage analysis showed 3 B.1.1.7 and 8 B.1.351 sequences. One B.1.1.7 sequence contained two additional mutations, F318N and V320F, with V320F located in the receptor binding domain of the S1 subunit.

SARS-CoV-2 Among Military and Civilian Patients, Metro Manila, Philippines.

INTRODUCTION: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) belonging to the family Coronaviridae and genus Betacoronavirus is the causative agent of COVID-19 disease and was first identified in Wuhan, China. SARS-CoV-2 spread globally with >28 million cases and 911,000 deaths recorded worldwide as of September 12, 2020. The Philippines reported the first case of community transmission on March 5, 2020, and despite the government imposing one of the longest and strictest lockdowns in Southeast Asia, the number of confirmed COVID-19 cases still surged with >250,000 cases and 4,000 deaths reported as of September 12, 2020. It is important to estimate the burden and impact of SARS-CoV-2 on the military population since this can affect the military readiness. MATERIALS AND METHODS: Nasopharyngeal and oropharyngeal swabs were collected and SARS-CoV-2 real-time RT-PCR testing was performed on the samples. Phylogenetic analysis was performed using sequences from 23 SARS-CoV-2-positive specimens from this study and sequences retrieved from GenBank and GISAID databases. RESULTS: From April 14 to August 15, 2020, a total of 12,432 specimens were tested with 763 (6%) unique individuals testing positive for SARS-CoV-2 by rRT-PCR. In the military population, majority of the patients who were tested (80%) and those who tested positive for SARS-CoV-2 (86%) were male. Military and civilian status was available for 7,672 patients with 515/5,042 (10%) positive among military patients and 248/2,630 (9%) positive among civilian patients. Both military and civilian populations had the highest case counts of SARS-CoV-2-positive cases in the 21- to 30- and 31- to 40-year-old age groups, while the 71- to 80-year-old age group had the highest proportion (18%) of SARS-CoV-2-positive cases. Sequencing analysis showed 19 different variants in the 23 genomes. Twenty of the 23 genomes were classified under clade GR/B1.1, 2 genomes were classified under clade GR/B1.1.28, and 1 genome was classified under Clade O/B.6. Twenty-two of the 23 sequences collected after June 25, 2020, contained the D614G mutation. CONCLUSION: We describe here the results of SARS-CoV-2 testing for military and civilian patients and personnel. The 21- to 30- and 31- to 40-year-old age groups had the highest case counts of SARS-CoV-2-positive cases. Sequencing results showed the presence of the D614G mutation in the spike protein in a majority of specimens collected from the end of June to July 2020.

A multi-country field validation of the FluChip-8G Insight Assay.

INTRODUCTION: It is critical to rapidly detect novel and non-seasonal influenza strains. Currently available assays have limited sensitivity in detecting novel influenza subtypes. We performed a multi-country field validation of the FluChip-8G Insight, an assay able to detect and characterize influenza A/B viruses and non-seasonal influenza viruses. MATERIALS AND METHODS: We evaluated the performance of the FluChip-8G Insight on nasal and throat swab clinical samples from Thailand, Philippines and Nepal. Influenza PCR positive and negative samples tested using the US CDC Human Influenza Dx Panel reference standard were selected for testing using the FluChip-8G Influenza Insight. RESULTS: A total of 909 specimens were included in the analysis. The overall sensitivity and specificity of the FluChip-8G Insight to detect combined influenza A+B was 86 % and 100%, respectively. PPV and NPV were estimated at 100 % (95 % CI 99-100) and 73 % (95 % CI 68-78), respectively. Sensitivity across all influenza subtypes was 100% for specimens with <20 and 20-25 Ct values, respectively, but as Ct values increased, sensitivity across all influenza subtypes decreased significantly (p < 0.001) for specimens with Ct values ≥32. CONCLUSION: The FluChip-8G Insight showed good precision and reproducibility among all 3 sites with robust identification of both influenza A and B targets with Ct values <32 and in the absence of co-infection. Positioning this platform in countries considered as hotspots for the emergence of novel/zoonotic influenza strains can increase the lead time in detecting and containing novel influenza strains with pandemic potential.

Coding-Complete Genome Sequences of 23 SARS-CoV-2 Samples from the Philippines.

Here, we report the coding-complete genome sequences of 23 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) samples from the Philippines. Sequences were obtained from nasopharyngeal and oropharyngeal swabs from coronavirus disease 2019 (COVID-19)-positive patients. Mutation analysis showed the presence of the D614G mutation in the spike protein in 22 of 23 genomes.

Multidrug Resistant Mycobacterium tuberculosis Among Military and Civilian Personnel seen at a Tertiary Military Hospital, Manila, Philippines (2015-2018).

INTRODUCTION: About one third of the world population is estimated to be infected with Mycobacterium tuberculosis (MTB), and this proportion is expected to be higher in countries with a high tuberculosis (TB) burden. The Philippines is both a high tuberculosis burden and a high multidrug resistant tuberculosis (MDR-TB) burden country. Though TB has been extensively described in the civilian population, there is limited data on TB in the military population. The objectives are: (1) To determine MTB/MDR-TB prevalence among military and civilian patients in the Philippines presenting with clinically suspected TB in a tertiary military hospital and (2) To determine performance of direct sputum smear microscopy (DSSM) using Ziehl-Neelsen (ZN) staining compared to Xpert MTB/RIF real-time reverse transcriptase polymerase chain reaction. MATERIALS AND METHODS: Sputum samples were obtained from patients, clinically suspected with TB, and/or with TB associated signs/symptoms. Sputum specimens were tested using DSSM with ZN staining and Xpert MTB/RIF assay (Cepheid, Sunnyvale, California) and patient demographic and clinical data were collected. RESULTS: From March 2015 to December 2018, a total of 795 (173 military personnel [164 active duty and 9 retired]; 618 civilians; and 4 with no data on military/civilian status) patients with TB associated symptoms or clinically suspected with TB were tested. Overall, MTB prevalence was 81/795 (10%). MTB prevalence among active duty and retired military personnel were 27/164 (16%) and 4/9 (44%), respectively while MTB prevalence for civilian patients was 50/618 (8%) (p value = 0.0003; OR = 2.48 [95% C.I. 1.5-4]). Among active and retired military personnel who tested positive for MTB, rifampin resistance was 4/27 (15%) and 1/4 (25%), respectively, while rifampin resistance for civilian patients was 9/50 (18%) (p value = 1; OR = 0.88 [95% C.I. 0.26-2.90]). For active duty military personnel, average MTB prevalence (based on Xpert MTB/RIF) covering years 2015-2018 was 21% and ranged from 13% to 35%, while average rifampin resistance among MTB positive active duty military personnel was 15% and ranged from 0% to 25%. Overall sensitivity and specificity of DSSM compared to Xpert MTB/RIF were 70% and 96%, respectively. Positive and negative predictive values of DSSM to accurately categorize MTB in symptomatic cases (with Xpert MTB/RIF as "true positive" reference) were 74% and 95%, respectively. Performance of DSSM varied according to MTB load detected by Xpert MTB/RIF with increasing DSSM sensitivity observed as the MTB load detected by Xpert MTB/RIF increased (p = 0.02). CONCLUSION: This report describes high MTB and MDR-TB prevalence rates among symptomatic military patients with military personnel having higher odds of MTB infection compared to the civilian patients in the study. Since DSSM (ZN) sensitivity greatly varied depending on MTB load, the Xpert MTB/RIF should be used as a first-line diagnostic tool to identify MTB and detect rifampin resistance among presumptive TB cases instead of DSSM (ZN) microscopy.

Carbapenemase-Producing Enterobacteriaceae and Nonfermentative Bacteria, the Philippines, 2013-2016.

During 2013-2016, we isolated blaNDM- and blaVIM-harboring Enterobacteriaceae and nonfermentative bacteria from patients in the Philippines. Of 130 carbapenem-resistant isolates tested, 45 were Carba NP-positive; 43 harbored blaNDM, and 2 harbored blaVIM. Multidrug-resistant microbial pathogen surveillance and antimicrobial drug stewardship are needed to prevent further spread of New Delhi metallo-ß-lactamase variants.

Chikungunya Virus Infections Among Patients with Dengue-Like Illness at a Tertiary Care Hospital in the Philippines, 2012-2013.

Chikungunya virus (CHIKV) often co-circulates with dengue virus (DENV). A cross-sectional surveillance study was conducted at a tertiary hospital in Manila, Philippines, to describe the prevalence and characteristics of DENV and CHIKV infections among patients seeking care for dengue-like illness. Acute blood samples from patients ≥ 6 months of age clinically diagnosed with dengue from November 2012 to December 2013 underwent reverse transcription polymerase chain reaction (RT-PCR) to detect DENV and CHIKV RNA. A total of 118 patients with clinically diagnosed dengue (age range = 1-89 years, mean = 22 years; male-to-female ratio = 1.51) were tested by DENV RT-PCR; 40 (34%) were DENV PCR-positive (age range = 1-45 years, mean = 17 years). All DENV serotypes were detected: 11 (28%) DENV-1, 6 (15%) DENV-2, 6 (15%) DENV-3, and 17 (42%) DENV-4. Of 112 patients clinically diagnosed with dengue and tested by CHIKV RT-PCR, 11 (10%) were CHIKV PCR-positive (age range = 2-47 years, mean = 20.3 years). No coinfections were detected. Presenting signs/symptoms did not differ between DENV- and CHIKV-positive cases. Sequencing of envelope 1 gene from two CHIKV PCR-positive samples showed Asian genotype. This study highlights the potential for misdiagnosis of medically attended CHIKV infections as DENV infection and the difficulty in clinically differentiating dengue and chikungunya based on presenting signs/symptoms alone. This underscores the necessity for diagnostic laboratory tests to distinguish CHIKV infections in the background of actively co-circulating DENV.

Applications of PCR (real-time and MassTag) and enzyme-linked immunosorbent assay in diagnosis of respiratory infections and diarrheal illness among deployed U.S. military personnel during exercise Balikatan 2009, Philippines.

Laboratory-based surveillance for diarrheal and respiratory illness was conducted at the 2009 Republic of the Philippines-United States Balikatan exercise to determine the presence of specific pathogens endemic in the locations where the military exercises were conducted. Ten stool and 6 respiratory specimens were obtained from individuals meeting case definitions for diarrhea or respiratory illness. Stool specimens were frozen in dry ice and remotely tested using enzyme-linked immunosorbent assay for Rotavirus, Astrovirus, Adenovirus, Entamoeba histolytica, Giardia, and Cryptosporidium and polymerase chain reaction for enterotoxigenic Escherichia coli, Campylobacter, Shigella, Vibrio, Salmonella, and Norovirus. Eight (4 for Campylobacter jejuni, 2 for Campylobacter coli, 1 for Norovirus genogroup II, and 1 for both Campylobacter coli and enterotoxigenic Escherichia coli) of 10 samples were positive for at least 1 enteric pathogen. MassTag polymerase chain reaction for influenza A and B, respiratory syncytial virus groups A and B, human coronavirus-229E and human coronavirus-OC43, human metapneumovirus, enterovirus, human parainfluenza viruses 2,3, and 4a, human adenovirus, Haemophilus influenzae, Neisseria meningitidis, Streptococcus pneumoniae, Legionella pneumonia, and Mycoplasma pneumonia was done on respiratory specimens. Out of 6 samples, 3 tested positive for H. influenzae; 1 tested positive for both H. influenzae and human parainfluenza virus 3; and 2 tested negative. Laboratory-based surveillance can be useful in determining etiologies of diarrheal and respiratory illness of deployed military personnel.

Evaluation of QuickVue influenza A+B rapid test for detection of pandemic influenza A/H1N1 2009.

BACKGROUND: A novel influenza A/H1N1 emerged in early 2009 and by June 2009 was declared a pandemic by WHO. Rapid influenza antigen detection tests have been used to diagnose seasonal influenza but have not been adequately evaluated for the pandemic strain among all age groups. In the Philippines, pandemic influenza A/H1N1 2009 was first detected in May 2009 and by July 2009, 3207 cases and 6 deaths were reported. OBJECTIVES: Using RT-PCR as the gold standard, clinical sensitivity/specificity of Quidel QuickVue (QV) influenza A+B was estimated across all age groups for pandemic influenza A/H1N1 using nasal swabs in a hospital setting. Effect of age, viral titers (Ct values), and timing of collection on QV sensitivity to detect pandemic influenza A/H1N1 2009 was also determined. STUDY DESIGN: Febrile patients with influenza-like illness (n=360) at the V. Luna General Hospital, Manila from 1 June to 31 August 2009 were included. Nasal swabs were tested using QV and RT-PCR. RESULTS: Of 360 nasal specimens 226 (63%) were positive for pandemic influenza A/H1N1. QV sensitivity was 63% (95% confidence interval (CI): 56-69%), specificity was 96% (95% CI: 91-99%), positive predictive value was 97% (CI: 93-99%), and negative predictive value was 57% (95% CI: 49-64%). Patient's age, fever severity, presenting symptoms or number of symptoms did not significantly affect QV sensitivity, however QV sensitivity was correlated with decreasing Ct values. CONCLUSION: QuickVue demonstrated moderate sensitivity for pandemic influenza A/H1N1 infection. There was a significant inverse association between Ct values and QV sensitivity for pandemic influenza A/H1N1.